.. τίτλος: Load Balancer Pool Distribution Analyzer
.. γυμνοσάλιαγκας: load-balancer-pool-distribution-analyzer
.. ημερομηνία: 26-03-2026 12:00:00 UTC
.. ετικέτες: δικτύωση, load-balancer, εργαλείο, αριθμομηχανή
.. κατηγορία: Εργαλεία
.. σύνδεσμος:
.. περιγραφή: Οραματιστείτε πώς οι αλγόριθμοι εξισορρόπησης φορτίου κατανέμουν την κίνηση στα μέλη της ομάδας. Προσομοίωση round robin, κατακερματισμός IP πηγής, σταθμισμένος και συνεπής κατακερματισμός υπό κανονικές συνθήκες και συνθήκες αποτυχίας.
.. τύπος: κείμενο
<style>
    .calc-container {
        max-width: 900px;
        margin: 20px auto;
        padding: 20px;
    }

    .calc-header {
        margin-bottom: 30px;
        padding: 25px;
        background: linear-gradient(135deg, #FF6B6B 0%, #C92A2A 100%);
        border-radius: 12px;
        box-shadow: 0 4px 6px rgba(0,0,0,0.1);
        color: white;
    }

    .calc-header h2 {
        margin-top: 0;
        color: white;
        font-size: 28px;
        margin-bottom: 10px;
    }

    .calc-header p {
        margin: 10px 0 20px 0;
        opacity: 0.95;
        font-size: 15px;
    }

    .form-grid {
        display: grid;
        grid-template-columns: 1fr 1fr;
        gap: 15px;
        margin-top: 20px;
    }

    .form-grid-3 {
        display: grid;
        grid-template-columns: 1fr 1fr 1fr;
        gap: 15px;
        margin-top: 15px;
    }

    .form-group {
        display: flex;
        flex-direction: column;
        gap: 8px;
    }

    .form-group label {
        font-weight: 600;
        font-size: 14px;
        color: white;
    }

    .form-group input,
    .form-group select {
        padding: 12px;
        font-size: 15px;
        border: 2px solid rgba(255,255,255,0.3);
        border-radius: 6px;
        background: rgba(255,255,255,0.95);
        transition: all 0.3s ease;
        font-family: 'Courier New', monospace;
    }

    .form-group input:focus,
    .form-group select:focus {
        outline: none;
        border-color: #4CAF50;
        background: white;
        box-shadow: 0 0 0 3px rgba(76, 175, 80, 0.15);
    }

    .form-group select {
        cursor: pointer;
        font-family: inherit;
    }

    .submit-btn {
        padding: 14px 35px;
        font-size: 16px;
        background: #4CAF50;
        color: white;
        border: none;
        border-radius: 6px;
        cursor: pointer;
        font-weight: bold;
        transition: all 0.3s ease;
        box-shadow: 0 2px 4px rgba(0,0,0,0.2);
        margin-top: 15px;
        width: 100%;
    }

    .submit-btn:hover {
        background: #45a049;
        transform: translateY(-1px);
        box-shadow: 0 4px 8px rgba(0,0,0,0.3);
    }

    .submit-btn:active {
        background: #3d8b40;
        transform: translateY(0);
    }

    .secondary-btn {
        padding: 10px 20px;
        font-size: 14px;
        background: rgba(255,255,255,0.2);
        color: white;
        border: 2px solid rgba(255,255,255,0.5);
        border-radius: 6px;
        cursor: pointer;
        font-weight: bold;
        transition: all 0.3s ease;
    }

    .secondary-btn:hover {
        background: rgba(255,255,255,0.35);
        border-color: white;
    }

    .danger-btn {
        padding: 8px 14px;
        font-size: 13px;
        background: #e53935;
        color: white;
        border: none;
        border-radius: 4px;
        cursor: pointer;
        font-weight: bold;
        transition: all 0.2s ease;
    }

    .danger-btn:hover {
        background: #c62828;
    }

    .result-section {
        background: white;
        border: 1px solid #e0e0e0;
        border-radius: 8px;
        margin-top: 20px;
        overflow: hidden;
        box-shadow: 0 2px 4px rgba(0,0,0,0.05);
        transition: all 0.3s ease;
        display: none;
    }

    .result-section.show {
        display: block;
    }

    .result-section:hover {
        box-shadow: 0 4px 8px rgba(0,0,0,0.1);
    }

    .section-header {
        background: linear-gradient(135deg, #4CAF50 0%, #45a049 100%);
        color: white;
        padding: 15px 20px;
    }

    .section-header h3 {
        margin: 0;
        font-size: 18px;
        display: flex;
        align-items: center;
        gap: 10px;
    }

    .section-content {
        padding: 20px;
        background: #fafafa;
    }

    .data-row {
        display: flex;
        margin: 12px 0;
        padding: 10px;
        background: white;
        border-radius: 4px;
        border-left: 3px solid #4CAF50;
        align-items: center;
    }

    .data-label {
        font-weight: bold;
        color: #555;
        min-width: 220px;
        flex-shrink: 0;
        font-size: 14px;
    }

    .data-value {
        color: #333;
        font-family: 'Courier New', monospace;
        word-break: break-word;
        font-size: 18px;
    }

    .data-value.highlight {
        color: #4CAF50;
        font-weight: bold;
        font-size: 22px;
    }

    .data-value.warning {
        color: #FF6B6B;
        font-weight: bold;
        font-size: 22px;
    }

    .help-text {
        margin-top: 15px;
        font-size: 14px;
        color: rgba(255,255,255,0.9);
        background: rgba(0,0,0,0.1);
        padding: 10px 15px;
        border-radius: 4px;
    }

    .help-text strong {
        color: white;
    }

    /* Member list table */
    .member-table {
        width: 100%;
        border-collapse: collapse;
        margin-top: 10px;
        font-size: 14px;
    }

    .member-table th {
        background: #f0f0f0;
        padding: 10px 12px;
        text-align: left;
        font-weight: 600;
        color: #444;
        border-bottom: 2px solid #ddd;
    }

    .member-table td {
        padding: 10px 12px;
        border-bottom: 1px solid #eee;
        vertical-align: middle;
    }

    .member-table tr:last-child td {
        border-bottom: none;
    }

    .member-table tr:hover td {
        background: #f9f9f9;
    }

    /* Status badge */
    .status-badge {
        display: inline-block;
        padding: 3px 10px;
        border-radius: 12px;
        font-size: 12px;
        font-weight: bold;
        text-transform: uppercase;
        letter-spacing: 0.5px;
    }

    .status-badge.up {
        background: #e8f5e9;
        color: #2e7d32;
        border: 1px solid #a5d6a7;
    }

    .status-badge.down {
        background: #ffebee;
        color: #c62828;
        border: 1px solid #ef9a9a;
    }

    /* Balance score ring */
    .balance-score-container {
        display: flex;
        align-items: center;
        gap: 20px;
        padding: 15px;
        background: white;
        border-radius: 8px;
        border: 1px solid #e0e0e0;
        margin-bottom: 15px;
    }

    .balance-score-ring {
        width: 80px;
        height: 80px;
        border-radius: 50%;
        display: flex;
        align-items: center;
        justify-content: center;
        font-size: 22px;
        font-weight: bold;
        color: white;
        flex-shrink: 0;
        box-shadow: 0 2px 8px rgba(0,0,0,0.2);
    }

    .balance-score-ring.excellent {
        background: linear-gradient(135deg, #43a047, #1b5e20);
    }

    .balance-score-ring.good {
        background: linear-gradient(135deg, #7cb342, #558b2f);
    }

    .balance-score-ring.fair {
        background: linear-gradient(135deg, #fb8c00, #e65100);
    }

    .balance-score-ring.poor {
        background: linear-gradient(135deg, #e53935, #b71c1c);
    }

    .balance-score-info {
        flex: 1;
    }

    .balance-score-info h4 {
        margin: 0 0 5px 0;
        font-size: 18px;
        color: #333;
    }

    .balance-score-info p {
        margin: 0;
        font-size: 13px;
        color: #666;
        line-height: 1.5;
    }

    /* Metrics grid */
    .metrics-grid {
        display: grid;
        grid-template-columns: repeat(4, 1fr);
        gap: 12px;
        margin-bottom: 20px;
    }

    .metric-card {
        background: white;
        border: 1px solid #e0e0e0;
        border-radius: 8px;
        padding: 15px;
        text-align: center;
        border-top: 3px solid #4CAF50;
    }

    .metric-card .metric-value {
        font-size: 22px;
        font-weight: bold;
        color: #333;
        font-family: 'Courier New', monospace;
    }

    .metric-card .metric-label {
        font-size: 12px;
        color: #888;
        margin-top: 4px;
    }

    /* Chart container */
    .chart-wrapper {
        background: white;
        border: 1px solid #e0e0e0;
        border-radius: 8px;
        padding: 20px;
        margin-bottom: 20px;
    }

    .chart-wrapper h4 {
        margin: 0 0 15px 0;
        color: #444;
        font-size: 15px;
        font-weight: 600;
    }

    /* Algorithm explanation */
    .algo-explanation {
        background: #fff8e1;
        border: 1px solid #ffe082;
        border-radius: 6px;
        padding: 12px 15px;
        font-size: 13px;
        color: #5d4037;
        line-height: 1.6;
        margin-top: 10px;
    }

    .algo-explanation strong {
        color: #3e2723;
    }

    /* Hash ring visualization */
    .ring-wrapper {
        display: flex;
        align-items: flex-start;
        gap: 20px;
    }

    #hashRingCanvas {
        border: 1px solid #e0e0e0;
        border-radius: 50%;
        display: block;
        flex-shrink: 0;
    }

    .ring-legend {
        flex: 1;
    }

    .ring-legend-item {
        display: flex;
        align-items: center;
        gap: 10px;
        padding: 6px 0;
        font-size: 13px;
        border-bottom: 1px solid #f0f0f0;
    }

    .ring-legend-dot {
        width: 14px;
        height: 14px;
        border-radius: 50%;
        flex-shrink: 0;
    }

    /* Redistribution info */
    .redistribution-row {
        display: flex;
        align-items: center;
        gap: 10px;
        padding: 8px 12px;
        background: white;
        border-radius: 4px;
        border-left: 3px solid #FF6B6B;
        margin-bottom: 6px;
        font-size: 14px;
    }

    .redistribution-row .arrow {
        color: #FF6B6B;
        font-size: 18px;
        flex-shrink: 0;
    }

    .redistribution-row .move-label {
        color: #555;
        flex: 1;
    }

    .redistribution-row .move-count {
        font-family: 'Courier New', monospace;
        font-weight: bold;
        color: #333;
    }

    /* Slider styling */
    .slider-group {
        display: flex;
        flex-direction: column;
        gap: 8px;
        margin-top: 5px;
    }

    .slider-group label {
        font-weight: 600;
        font-size: 14px;
        color: white;
        display: flex;
        justify-content: space-between;
    }

    .slider-group label span {
        font-family: 'Courier New', monospace;
        background: rgba(0,0,0,0.2);
        padding: 2px 8px;
        border-radius: 4px;
        font-size: 13px;
    }

    input[type="range"] {
        width: 100%;
        accent-color: #4CAF50;
        height: 6px;
        cursor: pointer;
    }

    /* Controls area inside header */
    .header-controls {
        margin-top: 20px;
    }

    .control-group-label {
        font-weight: 600;
        font-size: 13px;
        color: rgba(255,255,255,0.8);
        text-transform: uppercase;
        letter-spacing: 0.5px;
        margin-bottom: 8px;
        margin-top: 18px;
    }

    .add-member-row {
        display: flex;
        gap: 8px;
        align-items: flex-end;
        flex-wrap: wrap;
    }

    .add-member-row .form-group {
        flex: 1;
        min-width: 120px;
    }

    /* Failure simulation section */
    .failure-section {
        background: rgba(0,0,0,0.1);
        border-radius: 8px;
        padding: 15px;
        margin-top: 18px;
    }

    .failure-section .control-group-label {
        margin-top: 0;
    }

    .failure-row {
        display: flex;
        gap: 10px;
        align-items: flex-end;
        flex-wrap: wrap;
    }

    .failure-row .form-group {
        flex: 1;
        min-width: 140px;
    }

    .failure-btn-group {
        display: flex;
        gap: 8px;
    }

    /* Responsive design */
    @media (max-width: 768px) {
        .form-grid,
        .form-grid-3 {
            grid-template-columns: 1fr;
        }

        .metrics-grid {
            grid-template-columns: 1fr 1fr;
        }

        .data-row {
            flex-direction: column;
            align-items: flex-start;
        }

        .data-label {
            margin-bottom: 4px;
            min-width: auto;
        }

        .ring-wrapper {
            flex-direction: column;
        }

        #hashRingCanvas {
            width: 220px !important;
            height: 220px !important;
            align-self: center;
        }

        .balance-score-container {
            flex-direction: column;
            text-align: center;
        }

        .add-member-row {
            flex-direction: column;
        }

        .add-member-row .form-group {
            min-width: auto;
            width: 100%;
        }

        .failure-row {
            flex-direction: column;
        }
    }

    @media (max-width: 480px) {
        .calc-header h2 {
            font-size: 22px;
        }

        .metrics-grid {
            grid-template-columns: 1fr;
        }
    }
</style>
Chart.js CDN
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script>
<div class="calc-container">
========== ΚΕΦΑΛΙΑ / ΕΛΕΓΧΟΣ ===========
<div class="calc-header">
<h2>Load Balancer Pool Distribution Analyzer</h2>
<p>Προσομοιώστε τον τρόπο με τον οποίο διαφορετικοί αλγόριθμοι εξισορρόπησης φορτίου κατανέμουν την κυκλοφορία στα μέλη της ομάδας. Μοντελοποίηση σεναρίων αποτυχίας και σύγκριση της αποδοτικότητας ανακατανομής.</p>
<div class="header-controls">
Αλγόριθμος &amp; Πλήθος συνεδριών
<div class="form-grid">
<div class="form-group">
<label for="algorithmSelect">Αλγόριθμος εξισορρόπησης φορτίου:</label>
<select id="algorithmSelect">
<option value="roundRobin">Round Robin</option>
<option selected="" value="sourceIpHash">Πηγή IP Hash</option>
<option value="weighted">σταθμισμένη</option>
<option value="consistentHash">Συνεπής κατακερματισμός (Ring)</option>
</select>
</div>
<div class="form-group">
<label for="virtualNodes">Εικονικοί κόμβοι (Συνεπής κατακερματισμός):</label>
<select id="virtualNodes">
<option value="10">10 εικονικοί κόμβοι</option>
<option selected="" value="50">50 εικονικοί κόμβοι</option>
<option value="150">150 εικονικοί κόμβοι</option>
<option value="300">300 εικονικοί κόμβοι</option>
</select>
</div>
</div>
Ρυθμιστικό πλήθους συνεδριών
<div class="control-group-label">Όγκος κυκλοφορίας</div>
<div class="slider-group">
<label for="sessionSlider">Συνεδρίες για προσομοίωση:<span id="sessionCountLabel">1000</span>
</label>
<input id="sessionSlider" max="10000" min="100" oninput="updateSessionLabel(this.value)" step="100" type="range" value="1000"/>
</div>
Διαχείριση μελών της πισίνας
<div class="control-group-label">Μέλη του Pool</div>
<div class="add-member-row">
<div class="form-group">
<label for="newMemberIp">Διεύθυνση IP μέλους:</label>
<input id="newMemberIp" placeholder="10.0.1.10" type="text" value="10.0.1.10"/>
</div>
<div class="form-group">
<label for="newMemberPort">Λιμάνι:</label>
<input id="newMemberPort" placeholder="8080" type="text" value="8080"/>
</div>
<div class="form-group">
<label for="newMemberWeight">Βάρος (1-100):</label>
<input id="newMemberWeight" max="100" min="1" type="number" value="1"/>
</div>
<div class="form-group" style="justify-content: flex-end;">
<label> </label>
<button class="secondary-btn" onclick="addMember()">+ Προσθήκη μέλους</button>
</div>
</div>
Προσομοίωση αποτυχίας
<div class="failure-section">
<div class="control-group-label">Προσομοίωση Σεναρίου Αποτυχίας</div>
<div class="failure-row">
<div class="form-group">
<label for="failureSelect">Μέλος-στόχος:</label>
<select id="failureSelect">
<option value="">-- Επιλογή μέλους --</option>
</select>
</div>
<div class="failure-btn-group">
<button class="secondary-btn" onclick="setMemberDown()" style="background:rgba(229,57,53,0.4); border-color:rgba(229,57,53,0.8);">Χαμηλώνω την τιμή</button>
<button class="secondary-btn" onclick="setMemberUp()" style="background:rgba(67,160,71,0.4); border-color:rgba(67,160,71,0.8);">Ανατρέφω</button>
</div>
</div>
</div>
<button class="submit-btn" onclick="runSimulation()">Εκτέλεση προσομοίωσης</button>
<div class="help-text">
<strong>Πώς λειτουργεί:</strong>Η δειγματοληψία των IP πελατών γίνεται από ένα υποδίκτυο /16 (10.0.0.0/16).
                Για κατακερματισμό βάσει πηγής, κάθε μοναδική IP πελάτη αντιστοιχίζεται ντετερμινιστικά σε ένα μέλος.
                Το Round robin αγνοεί την IP του πελάτη και διανέμει διαδοχικά. Σταθμισμένες χρήσεις αναλογικές
                τυχαία ανάθεση. Ο συνεπής κατακερματισμός τοποθετεί τόσο τους πελάτες όσο και τα μέλη σε έναν εικονικό δακτύλιο.</div>
</div>
</div>
========== ΠΙΝΑΚΑΣ ΜΕΛΩΝ ===========
<div class="result-section show" id="memberTableSection">
<div class="section-header">
<h3>Μέλη του Pool</h3>
</div>
<div class="section-content" style="padding: 0;">
<table class="member-table" id="memberTable">
<thead>
<tr>
<th>ταυτότητα</th>
<th>IP: Θύρα</th>
<th>Βάρος</th>
<th>Κατάσταση</th>
<th>Δράσεις</th>
</tr>
</thead>
<tbody id="memberTableBody">
κατοικείται από JS
</tbody>
</table>
</div>
</div>
========== ΑΠΟΤΕΛΕΣΜΑΤΑ ΔΙΑΝΟΜΗΣ ==========
<div class="result-section" id="resultsSection">
<div class="section-header">
<h3>Αποτελέσματα Διανομής</h3>
</div>
<div class="section-content">
Βαθμολογία ισορροπίας + επεξήγηση αλγορίθμου
<div class="balance-score-container" id="balanceScoreContainer"></div>
<div class="algo-explanation" id="algoExplanation"></div>
Πλέγμα μετρήσεων
<div class="metrics-grid" id="metricsGrid" style="margin-top: 20px;"></div>
Γράφημα ράβδων
<div class="chart-wrapper">
<h4>Κατανομή συνεδρίας ανά μέλος</h4>
<canvas height="120" id="distributionChart"></canvas>
</div>
Σειρές λεπτομερειών μέλους
<div id="memberDetailRows"></div>
</div>
</div>
========== ΑΠΟΤΥΧΙΑ ΕΠΑΝΚΑΤΑΝΟΜΗ ===========
<div class="result-section" id="redistributionSection">
<div class="section-header" style="background: linear-gradient(135deg, #FF6B6B 0%, #C92A2A 100%);">
<h3>Ανάλυση ανακατανομής αποτυχίας</h3>
</div>
<div class="section-content">
<div id="redistributionContent"></div>
</div>
</div>
========== ΟΠΤΙΚΟΠΟΙΗΣΗ ΔΑΧΤΥΛΙΟΥ ΧΑΣ ==========
<div class="result-section" id="hashRingSection">
<div class="section-header">
<h3>Συνεπής δακτύλιος κατακερματισμού</h3>
</div>
<div class="section-content">
<div class="ring-wrapper">
<canvas height="260" id="hashRingCanvas" width="260"></canvas>
<div class="ring-legend" id="ringLegend"></div>
</div>
<div class="algo-explanation" style="margin-top: 15px;">
<strong>Διαβάζοντας το δαχτυλίδι:</strong>Κάθε μέλος τοποθετείται σε πολλά σημεία γύρω από το δακτύλιο
                (εικονικοί κόμβοι). Μια IP πελάτη κατακερματίζεται σε μια θέση στο δαχτυλίδι και, στη συνέχεια, αποστέλλεται το αίτημα
                στο πλησιέστερο μέλος δεξιόστροφα. Η προσθήκη ή η αφαίρεση ενός μέλους επηρεάζει μόνο το τόξο του
                τηλεφωνήστε στην ιδιοκτησία — ελαχιστοποίηση της διακοπής της συνεδρίας.</div>
</div>
</div>
========== ΒΟΗΘΕΙΑ / ΕΝΝΟΙΕΣ ==========
<div class="result-section show" style="margin-top: 20px;">
<div class="section-header">
<h3>Αναφορά αλγορίθμου</h3>
</div>
<div class="section-content">
<div class="data-row">
<div class="data-label">Round Robin</div>
<div class="data-value" style="font-family: inherit; font-size: 14px; color: #555;">Οι συνεδρίες εκχωρούνται διαδοχικά: μέλος 1, 2, 3, ..., N, 1, 2, ... Κάθε μέλος
                    λαμβάνει ακριβώς το 1/Ν όλων των αιτημάτων. Αγνοεί τη χωρητικότητα του διακομιστή και τη συνάφεια πελάτη.
                    Απλό και προβλέψιμο, αλλά αποτυγχάνει σκληρά σε ετερογενές υλικό.</div>
</div>
<div class="data-row">
<div class="data-label">Πηγή IP Hash</div>
<div class="data-value" style="font-family: inherit; font-size: 14px; color: #555;">Ένας κατακερματισμός του modulo IP του πελάτη, ο αριθμός μελών επιλέγει το backend. Ο ίδιος πελάτης
                    φτάνει πάντα στο ίδιο μέλος — χρήσιμο για κρατικές εφαρμογές. Προσθήκη ή αφαίρεση
                    ένα μέλος ανακαταλέγεται<em>όλοι</em>αντιστοιχίσεις πελατών (Ν αλλαγή σε (Ν-1)/Ν όλων των περιόδων σύνδεσης).</div>
</div>
<div class="data-row">
<div class="data-label">σταθμισμένη</div>
<div class="data-value" style="font-family: inherit; font-size: 14px; color: #555;">Κάθε μέλος λαμβάνει ένα μερίδιο ανάλογο με το βάρος του σε σχέση με το συνολικό βάρος
                    πισίνα. Ένα μέλος με βάρος=4 παίρνει 4 φορές τις συνεδρίες ενός μέλους βάρους=1. Χρησιμοποιείται για μοντελοποίηση
                    ετερογενής χωρητικότητα backend (π.χ. VM έναντι διακομιστή γυμνού μετάλλου).</div>
</div>
<div class="data-row">
<div class="data-label">Συνεπής κατακερματισμός</div>
<div class="data-value" style="font-family: inherit; font-size: 14px; color: #555;">Τα μέλη και οι πελάτες αντιστοιχίζονται σε έναν κυκλικό δακτύλιο μέσω κατακερματισμού. Κάθε πελάτης πηγαίνει
                    στο πλησιέστερο μέλος δεξιόστροφα στο δαχτυλίδι. Εικονικοί κόμβοι (αντίγραφα ανά μέλος)
                    βελτίωση της ομοιομορφίας διανομής. Όταν ένα μέλος αποτυγχάνει, μόνο οι συνεδρίες του μετακινούνται στο
                    επόμενο μέλος στο δαχτυλίδι — 1/Ν περίοδοι σύνδεσης ενοχλήθηκαν έναντι 100% για κατακερματισμό modulo.</div>
</div>
</div>
</div>
</div>
<script>
/* =========================================================
   Load Balancer Pool Distribution Analyzer
   Algorithms: round robin, source IP hash, weighted,
               consistent hashing (virtual node ring)
   ========================================================= */

// ---- State -----------------------------------------------

/** @type {{ id: string, ip: string, port: number, weight: number, status: 'up'|'down' }[]} */
let members = [
    { id: 'member_1', ip: '10.0.1.10', port: 8080, weight: 1, status: 'up' },
    { id: 'member_2', ip: '10.0.1.11', port: 8080, weight: 2, status: 'up' },
    { id: 'member_3', ip: '10.0.1.12', port: 8080, weight: 1, status: 'up' },
    { id: 'member_4', ip: '10.0.1.13', port: 8080, weight: 1, status: 'up' },
];

let memberCounter = 5;
let distributionChart = null;

// ---- Hash utilities --------------------------------------

/**
 * FNV-1a 32-bit hash (deterministic, fast, good avalanche).
 * Returns a positive integer in [0, 2^32).
 * @param {string} str
 * @returns {number}
 */
function fnv1a32(str) {
    let hash = 2166136261; // FNV offset basis
    for (let i = 0; i < str.length; i++) {
        hash ^= str.charCodeAt(i);
        // Multiply by FNV prime (32-bit) using safe integer arithmetic
        hash = (hash * 16777619) >>> 0;
    }
    return hash;
}

/**
 * Convert dotted-decimal IPv4 string to a 32-bit integer.
 * @param {string} ip  e.g. "192.168.1.1"
 * @returns {number}
 */
function ipToInt(ip) {
    const parts = ip.split('.').map(Number);
    if (parts.length !== 4 || parts.some(p => isNaN(p) || p < 0 || p > 255)) return 0;
    return ((parts[0] * 256 + parts[1]) * 256 + parts[2]) * 256 + parts[3];
}

/**
 * Convert 32-bit integer to dotted-decimal IPv4.
 * @param {number} n
 * @returns {string}
 */
function intToIp(n) {
    return [
        (n >>> 24) & 0xff,
        (n >>> 16) & 0xff,
        (n >>>  8) & 0xff,
         n         & 0xff,
    ].join('.');
}

// ---- Traffic generation ----------------------------------

/**
 * Generate an array of client IP strings sampled from 10.0.0.0/16
 * with a realistic Zipfian-ish distribution (some clients appear
 * more often than others, modelling hotspots).
 * @param {number} sessionCount
 * @returns {string[]}
 */
function generateClientIps(sessionCount) {
    // Pre-build a pool of unique client IPs (up to 500 distinct sources)
    const poolSize = Math.min(500, sessionCount);
    const clientPool = [];
    const baseIp = ipToInt('10.0.0.1');
    for (let i = 0; i < poolSize; i++) {
        clientPool.push(intToIp(baseIp + i));
    }

    // Zipfian weights: client i has weight proportional to 1/(i+1)
    // Pre-compute cumulative weights for sampling
    const cumWeights = new Float64Array(poolSize);
    let total = 0;
    for (let i = 0; i < poolSize; i++) {
        total += 1 / (i + 1);
        cumWeights[i] = total;
    }

    // Sample sessions using a simple LCG random so results are
    // reproducible across runs with the same sessionCount.
    const ips = [];
    let seed = sessionCount ^ 0xdeadbeef;
    function lcgRand() {
        // LCG: Numerical Recipes parameters
        seed = (Math.imul(1664525, seed) + 1013904223) >>> 0;
        return seed / 0x100000000;
    }

    for (let s = 0; s < sessionCount; s++) {
        const r = lcgRand() * total;
        // Binary search in cumWeights
        let lo = 0, hi = poolSize - 1;
        while (lo < hi) {
            const mid = (lo + hi) >> 1;
            if (cumWeights[mid] < r) lo = mid + 1;
            else hi = mid;
        }
        ips.push(clientPool[lo]);
    }
    return ips;
}

// ---- Algorithm implementations ---------------------------

/**
 * Round Robin: session index mod active member count.
 * @param {typeof members} activeMembers
 * @param {string[]} clientIps
 * @returns {Map<string, number>} memberId -> sessionCount
 */
function algorithmRoundRobin(activeMembers, clientIps) {
    const counts = new Map(activeMembers.map(m => [m.id, 0]));
    const n = activeMembers.length;
    for (let i = 0; i < clientIps.length; i++) {
        const memberId = activeMembers[i % n].id;
        counts.set(memberId, counts.get(memberId) + 1);
    }
    return counts;
}

/**
 * Source IP Hash: fnv1a(clientIp) mod active member count.
 * Same client always hits the same member (given a fixed member set).
 * @param {typeof members} activeMembers
 * @param {string[]} clientIps
 * @returns {Map<string, number>}
 */
function algorithmSourceIpHash(activeMembers, clientIps) {
    const counts = new Map(activeMembers.map(m => [m.id, 0]));
    const n = activeMembers.length;
    for (const ip of clientIps) {
        const idx = fnv1a32(ip) % n;
        const memberId = activeMembers[idx].id;
        counts.set(memberId, counts.get(memberId) + 1);
    }
    return counts;
}

/**
 * Weighted: member selection proportional to weight.
 * Uses a deterministic seeded random so reruns are consistent.
 * @param {typeof members} activeMembers
 * @param {string[]} clientIps
 * @returns {Map<string, number>}
 */
function algorithmWeighted(activeMembers, clientIps) {
    const counts = new Map(activeMembers.map(m => [m.id, 0]));
    const totalWeight = activeMembers.reduce((s, m) => s + m.weight, 0);

    // Build cumulative weight array for O(log N) lookup
    const cumWeights = [];
    let acc = 0;
    for (const m of activeMembers) {
        acc += m.weight;
        cumWeights.push({ threshold: acc, id: m.id });
    }

    for (const ip of clientIps) {
        // Use hash of IP as a deterministic random value in [0, totalWeight)
        const r = fnv1a32(ip + '_w') % totalWeight;
        for (const { threshold, id } of cumWeights) {
            if (r < threshold) {
                counts.set(id, counts.get(id) + 1);
                break;
            }
        }
    }
    return counts;
}

/**
 * Build a consistent hash ring with virtual nodes.
 * @param {typeof members} activeMembers
 * @param {number} virtualNodes - number of virtual replicas per member
 * @returns {{ position: number, memberId: string }[]} sorted ring
 */
function buildHashRing(activeMembers, virtualNodes) {
    const ring = [];
    for (const m of activeMembers) {
        for (let v = 0; v < virtualNodes; v++) {
            const position = fnv1a32(`${m.id}#vnode${v}`);
            ring.push({ position, memberId: m.id });
        }
    }
    // Sort by position for binary search
    ring.sort((a, b) => a.position - b.position);
    return ring;
}

/**
 * Find the nearest member clockwise on the ring for a given hash.
 * @param {number} hash
 * @param {{ position: number, memberId: string }[]} ring
 * @returns {string} memberId
 */
function findNearestOnRing(hash, ring) {
    if (ring.length === 0) return '';
    // Binary search for first position >= hash
    let lo = 0, hi = ring.length - 1;
    while (lo < hi) {
        const mid = (lo + hi) >> 1;
        if (ring[mid].position < hash) lo = mid + 1;
        else hi = mid;
    }
    // If hash > all positions, wrap around to ring[0]
    if (ring[lo].position < hash) lo = 0;
    return ring[lo].memberId;
}

/**
 * Consistent Hashing: place clients and members on a virtual ring.
 * @param {typeof members} activeMembers
 * @param {string[]} clientIps
 * @param {number} virtualNodes
 * @returns {Map<string, number>}
 */
function algorithmConsistentHash(activeMembers, clientIps, virtualNodes) {
    const counts = new Map(activeMembers.map(m => [m.id, 0]));
    const ring = buildHashRing(activeMembers, virtualNodes);

    for (const ip of clientIps) {
        const hash = fnv1a32(ip);
        const memberId = findNearestOnRing(hash, ring);
        if (counts.has(memberId)) {
            counts.set(memberId, counts.get(memberId) + 1);
        }
    }
    return counts;
}

// ---- Dispatch to correct algorithm -----------------------

/**
 * Run the selected algorithm and return session counts per member.
 * @param {typeof members} activeMembers
 * @param {string[]} clientIps
 * @param {string} algorithm
 * @param {number} virtualNodes
 * @returns {Map<string, number>}
 */
function runAlgorithm(activeMembers, clientIps, algorithm, virtualNodes) {
    switch (algorithm) {
        case 'roundRobin':     return algorithmRoundRobin(activeMembers, clientIps);
        case 'sourceIpHash':   return algorithmSourceIpHash(activeMembers, clientIps);
        case 'weighted':       return algorithmWeighted(activeMembers, clientIps);
        case 'consistentHash': return algorithmConsistentHash(activeMembers, clientIps, virtualNodes);
        default:               return algorithmSourceIpHash(activeMembers, clientIps);
    }
}

// ---- Metrics computation ---------------------------------

/**
 * @param {Map<string, number>} distribution - memberId -> sessionCount
 * @param {typeof members} activeMembers
 * @param {number} totalSessions
 * @returns {{ stdDev: number, maxPct: number, minPct: number, balanceScore: number }}
 */
function computeMetrics(distribution, activeMembers, totalSessions) {
    if (activeMembers.length === 0 || totalSessions === 0) {
        return { stdDev: 0, maxPct: 0, minPct: 0, balanceScore: 100 };
    }

    const values = activeMembers.map(m => distribution.get(m.id) ?? 0);
    const mean = totalSessions / activeMembers.length;

    // Population standard deviation (in sessions)
    const variance = values.reduce((s, v) => s + (v - mean) ** 2, 0) / values.length;
    const stdDev = Math.sqrt(variance);

    const maxCount = Math.max(...values);
    const minCount = Math.min(...values);
    const maxPct = (maxCount / totalSessions) * 100;
    const minPct = (minCount / totalSessions) * 100;

    // Balance score: 100 means perfectly even; 0 means all sessions on one member.
    // Coefficient of Variation normalized to [0,100].
    const cv = mean > 0 ? stdDev / mean : 0;
    const idealCv = 0; // perfect balance
    // Max CV ≈ sqrt(N-1) when all sessions on one member; clamp at 1 for score calc
    const balanceScore = Math.max(0, Math.round((1 - Math.min(cv, 1)) * 100));

    return { stdDev, maxPct, minPct, balanceScore };
}

// ---- Failure redistribution analysis ---------------------

/**
 * Compare distributions before and after a member failure.
 * Returns per-surviving-member session gains.
 * @param {Map<string, number>} before
 * @param {Map<string, number>} after
 * @param {string} failedId
 * @returns {{ memberId: string, gained: number }[]}
 */
function computeRedistribution(before, after, failedId) {
    const result = [];
    for (const [id, afterCount] of after.entries()) {
        const beforeCount = before.get(id) ?? 0;
        const gained = afterCount - beforeCount;
        if (gained !== 0) {
            result.push({ memberId: id, gained });
        }
    }
    return result;
}

// ---- UI helpers ------------------------------------------

function updateSessionLabel(value) {
    document.getElementById('sessionCountLabel').textContent = Number(value).toLocaleString();
}

function renderMemberTable() {
    const tbody = document.getElementById('memberTableBody');
    tbody.innerHTML = '';

    // Also rebuild failure select
    const failureSelect = document.getElementById('failureSelect');
    const currentFailureVal = failureSelect.value;
    failureSelect.innerHTML = '<option value="">-- Select member --</option>';

    members.forEach(m => {
        const tr = document.createElement('tr');
        tr.innerHTML = `
            <td style="font-family:monospace;font-size:13px;color:#666;">${m.id}</td>
            <td><strong>${m.ip}</strong>:${m.port}</td>
            <td>${m.weight}</td>
            <td><span class="status-badge ${m.status}">${m.status.toUpperCase()}</span></td>
            <td>
                <button class="danger-btn" onclick="removeMember('${m.id}')">Remove</button>
            </td>
        `;
        tbody.appendChild(tr);

        const opt = document.createElement('option');
        opt.value = m.id;
        opt.textContent = `${m.id} (${m.ip}:${m.port}) — ${m.status}`;
        failureSelect.appendChild(opt);
    });

    // Restore selection if still valid
    if ([...failureSelect.options].some(o => o.value === currentFailureVal)) {
        failureSelect.value = currentFailureVal;
    }
}

function addMember() {
    const ip = document.getElementById('newMemberIp').value.trim();
    const port = parseInt(document.getElementById('newMemberPort').value.trim(), 10);
    const weight = Math.max(1, Math.min(100, parseInt(document.getElementById('newMemberWeight').value, 10) || 1));

    // Basic IP validation
    const ipParts = ip.split('.');
    if (ipParts.length !== 4 || ipParts.some(p => isNaN(Number(p)) || Number(p) < 0 || Number(p) > 255)) {
        alert('Please enter a valid IPv4 address (e.g., 10.0.1.20).');
        return;
    }
    if (isNaN(port) || port < 1 || port > 65535) {
        alert('Please enter a valid port number (1–65535).');
        return;
    }
    if (members.some(m => m.ip === ip && m.port === port)) {
        alert(`Member ${ip}:${port} already exists.`);
        return;
    }

    members.push({
        id: `member_${memberCounter++}`,
        ip,
        port,
        weight,
        status: 'up',
    });

    // Auto-increment the IP for convenience
    const lastOctet = parseInt(ipParts[3], 10);
    if (!isNaN(lastOctet) && lastOctet < 254) {
        ipParts[3] = String(lastOctet + 1);
        document.getElementById('newMemberIp').value = ipParts.join('.');
    }

    renderMemberTable();
}

function removeMember(id) {
    members = members.filter(m => m.id !== id);
    renderMemberTable();
}

function setMemberDown() {
    const id = document.getElementById('failureSelect').value;
    if (!id) { alert('Select a member first.'); return; }
    const m = members.find(m => m.id === id);
    if (m) m.status = 'down';
    renderMemberTable();
}

function setMemberUp() {
    const id = document.getElementById('failureSelect').value;
    if (!id) { alert('Select a member first.'); return; }
    const m = members.find(m => m.id === id);
    if (m) m.status = 'up';
    renderMemberTable();
}

// ---- Color helpers ---------------------------------------

/**
 * Map a load percentage to a CSS color.
 * Green = balanced, Yellow = slightly over, Red = overloaded.
 * @param {number} pct  0–100
 * @param {number} idealPct  expected even share
 * @returns {string} hex color
 */
function loadColor(pct, idealPct) {
    const ratio = idealPct > 0 ? pct / idealPct : 1;
    if (ratio <= 1.15)  return '#4CAF50'; // green  — within 15% of ideal
    if (ratio <= 1.35)  return '#FFC107'; // amber  — 15–35% over
    if (ratio <= 1.60)  return '#FF9800'; // orange — 35–60% over
    return '#F44336'; // red — >60% over ideal
}

const CHART_COLORS_POOL = [
    '#4CAF50','#2196F3','#9C27B0','#FF9800',
    '#00BCD4','#E91E63','#8BC34A','#FF5722',
];

// ---- Chart rendering -------------------------------------

/**
 * Render or update the bar chart.
 * @param {string[]} labels
 * @param {number[]} sessionCounts
 * @param {number} idealPct
 * @param {number} totalSessions
 */
function renderChart(labels, sessionCounts, idealPct, totalSessions) {
    const ctx = document.getElementById('distributionChart').getContext('2d');

    const colors = sessionCounts.map((count, i) => {
        const pct = totalSessions > 0 ? (count / totalSessions) * 100 : 0;
        return loadColor(pct, idealPct);
    });

    if (distributionChart) {
        distributionChart.data.labels = labels;
        distributionChart.data.datasets[0].data = sessionCounts;
        distributionChart.data.datasets[0].backgroundColor = colors;
        distributionChart.update();
        return;
    }

    distributionChart = new Chart(ctx, {
        type: 'bar',
        data: {
            labels,
            datasets: [{
                label: 'Sessions',
                data: sessionCounts,
                backgroundColor: colors,
                borderColor: colors.map(c => c + 'cc'),
                borderWidth: 1,
                borderRadius: 4,
            }],
        },
        options: {
            responsive: true,
            plugins: {
                legend: { display: false },
                tooltip: {
                    callbacks: {
                        label(ctx) {
                            const count = ctx.parsed.y;
                            const pct = totalSessions > 0
                                ? ((count / totalSessions) * 100).toFixed(1)
                                : '0.0';
                            return ` ${count.toLocaleString()} sessions (${pct}%)`;
                        },
                    },
                },
            },
            scales: {
                y: {
                    beginAtZero: true,
                    title: { display: true, text: 'Sessions', color: '#666', font: { size: 12 } },
                },
                x: {
                    title: { display: true, text: 'Pool Member', color: '#666', font: { size: 12 } },
                },
            },
        },
    });
}

// ---- Hash ring canvas ------------------------------------

/**
 * Draw the consistent hash ring visualization on a canvas.
 * @param {typeof members} activeMembers
 * @param {number} virtualNodes
 * @param {Map<string, number>} distribution
 */
function renderHashRing(activeMembers, virtualNodes, distribution) {
    const canvas = document.getElementById('hashRingCanvas');
    const ctx = canvas.getContext('2d');
    const W = canvas.width;
    const H = canvas.height;
    const cx = W / 2;
    const cy = H / 2;
    const ringR = Math.min(W, H) * 0.40;
    const nodeR = 5;

    ctx.clearRect(0, 0, W, H);

    // Draw ring background
    ctx.strokeStyle = '#e0e0e0';
    ctx.lineWidth = 12;
    ctx.beginPath();
    ctx.arc(cx, cy, ringR, 0, Math.PI * 2);
    ctx.stroke();

    // Assign colors to members
    const colorMap = new Map();
    activeMembers.forEach((m, i) => {
        colorMap.set(m.id, CHART_COLORS_POOL[i % CHART_COLORS_POOL.length]);
    });

    // Draw arc segments for each member's territory
    const ring = buildHashRing(activeMembers, virtualNodes);
    const MAX32 = 0x100000000;
    const TWOPI = Math.PI * 2;

    // For each consecutive pair of virtual nodes, draw a colored arc
    if (ring.length > 0) {
        for (let i = 0; i < ring.length; i++) {
            const next = ring[(i + 1) % ring.length];
            const currAngle = (ring[i].position / MAX32) * TWOPI - Math.PI / 2;
            const nextAngle = (next.position / MAX32) * TWOPI - Math.PI / 2;
            const color = colorMap.get(ring[i].memberId) ?? '#ccc';
            ctx.strokeStyle = color + 'aa';
            ctx.lineWidth = 10;
            ctx.beginPath();
            // Arc from current to next (always clockwise)
            const startA = currAngle;
            let endA = nextAngle;
            if (endA <= startA) endA += TWOPI;
            ctx.arc(cx, cy, ringR, startA, endA);
            ctx.stroke();
        }
    }

    // Draw ring outline (thin)
    ctx.strokeStyle = '#bbb';
    ctx.lineWidth = 1;
    ctx.beginPath();
    ctx.arc(cx, cy, ringR, 0, TWOPI);
    ctx.stroke();

    // Draw virtual nodes as small dots
    for (const node of ring) {
        const angle = (node.position / MAX32) * TWOPI - Math.PI / 2;
        const x = cx + ringR * Math.cos(angle);
        const y = cy + ringR * Math.sin(angle);
        ctx.fillStyle = colorMap.get(node.memberId) ?? '#ccc';
        ctx.beginPath();
        ctx.arc(x, y, nodeR, 0, TWOPI);
        ctx.fill();
    }

    // Center label
    ctx.fillStyle = '#555';
    ctx.font = 'bold 12px sans-serif';
    ctx.textAlign = 'center';
    ctx.textBaseline = 'middle';
    ctx.fillText(`${virtualNodes} VN`, cx, cy - 8);
    ctx.font = '11px sans-serif';
    ctx.fillStyle = '#888';
    ctx.fillText('per member', cx, cy + 8);

    // Legend
    const legendEl = document.getElementById('ringLegend');
    legendEl.innerHTML = '';
    activeMembers.forEach(m => {
        const sessions = distribution.get(m.id) ?? 0;
        const color = colorMap.get(m.id) ?? '#ccc';
        const item = document.createElement('div');
        item.className = 'ring-legend-item';
        item.innerHTML = `
            <div class="ring-legend-dot" style="background:${color};"></div>
            <div>
                <strong>${m.id}</strong> — ${m.ip}:${m.port}<br>
                <span style="font-size:12px;color:#888;">${sessions.toLocaleString()} sessions</span>
            </div>
        `;
        legendEl.appendChild(item);
    });
}

// ---- Algorithm explanation text --------------------------

const ALGO_EXPLANATIONS = {
    roundRobin: `<strong>Round Robin:</strong> Each incoming session is assigned to the next member in a fixed sequence, cycling through all active members. Session ${1} goes to member 1, session 2 to member 2, ..., session N+1 back to member 1. Result: perfectly even distribution regardless of client source. Standard deviation approaches zero with large session counts.`,
    sourceIpHash: `<strong>Source IP Hash:</strong> A 32-bit FNV-1a hash of the client IP address is computed, then taken modulo the active member count. The same client IP always maps to the same member — providing session affinity at the cost of distribution uniformity. Skewed client populations (Zipfian traffic) may produce uneven loads.`,
    weighted: `<strong>Weighted Distribution:</strong> Members receive traffic proportional to their configured weight. A member with weight 4 receives 4x the sessions of a weight-1 member. Selection is deterministic per client IP (using a seeded hash), so a client consistently reaches the same high-capacity member.`,
    consistentHash: `<strong>Consistent Hashing:</strong> Members are placed at multiple positions on a 2^32 virtual ring (virtual nodes). Client IPs are hashed to a ring position; the request is forwarded to the next clockwise member. When a member is removed, only the sessions in that member's arc are redistributed — minimising disruption compared to modulo hashing.`,
};

// ---- Main simulation -------------------------------------

function runSimulation() {
    const algorithm = document.getElementById('algorithmSelect').value;
    const sessionCount = parseInt(document.getElementById('sessionSlider').value, 10);
    const virtualNodes = parseInt(document.getElementById('virtualNodes').value, 10);

    const activeMembers = members.filter(m => m.status === 'up');

    if (activeMembers.length === 0) {
        alert('No active (up) pool members. Please add members or bring some back up.');
        return;
    }

    // --- Normal distribution ---
    const clientIps = generateClientIps(sessionCount);
    const distribution = runAlgorithm(activeMembers, clientIps, algorithm, virtualNodes);
    const metrics = computeMetrics(distribution, activeMembers, sessionCount);
    const idealPct = 100 / activeMembers.length;

    // --- Failure redistribution ---
    const downMembers = members.filter(m => m.status === 'down');
    let redistributionHtml = '';

    if (downMembers.length > 0) {
        // For each down member, simulate what WOULD have been assigned to it
        // if it were up, then compute how those sessions redistribute now.
        for (const failed of downMembers) {
            const withFailed = [...activeMembers, failed];
            const beforeDist = runAlgorithm(withFailed, clientIps, algorithm, virtualNodes);
            const afterDist = distribution;
            const redistribution = computeRedistribution(beforeDist, afterDist, failed.id);
            const failedSessionCount = beforeDist.get(failed.id) ?? 0;
            const failedPct = sessionCount > 0 ? ((failedSessionCount / sessionCount) * 100).toFixed(1) : '0.0';

            redistributionHtml += `
                <div class="data-row" style="border-left-color:#FF6B6B; margin-bottom:10px;">
                    <div class="data-label" style="color:#c62828;">${failed.id} (${failed.ip}) DOWN</div>
                    <div class="data-value" style="font-size:15px; font-family:inherit; color:#555;">
                        ${failedSessionCount.toLocaleString()} sessions (${failedPct}%) need redistribution
                    </div>
                </div>
            `;

            redistribution.sort((a, b) => b.gained - a.gained);
            redistribution.forEach(({ memberId, gained }) => {
                const receiver = members.find(m => m.id === memberId);
                const receiverLabel = receiver ? `${memberId} (${receiver.ip})` : memberId;
                const arrow = gained > 0 ? '&rarr;' : '&larr;';
                const sign = gained > 0 ? '+' : '';
                redistributionHtml += `
                    <div class="redistribution-row">
                        <span class="arrow">${arrow}</span>
                        <span class="move-label">${receiverLabel} absorbs</span>
                        <span class="move-count">${sign}${gained.toLocaleString()} sessions</span>
                    </div>
                `;
            });

            // Algorithm-specific note
            let algoNote = '';
            if (algorithm === 'consistentHash') {
                algoNote = `<div style="margin-top:10px;font-size:13px;color:#5d4037;background:#fff8e1;padding:8px 12px;border-radius:4px;border:1px solid #ffe082;">
                    Consistent hashing: only the ${failedPct}% of sessions owned by the failed member's ring arcs are affected.
                    The next clockwise member absorbs each arc. All other sessions remain pinned to their original members.
                </div>`;
            } else if (algorithm === 'sourceIpHash') {
                algoNote = `<div style="margin-top:10px;font-size:13px;color:#5d4037;background:#fff8e1;padding:8px 12px;border-radius:4px;border:1px solid #ffe082;">
                    Source IP hash (modulo): removing one member changes the modulo divisor from ${withFailed.length} to ${activeMembers.length},
                    causing ALL sessions to be rehashed — not just those belonging to the failed member.
                    <strong>~${(((withFailed.length - activeMembers.length) / withFailed.length) * 100).toFixed(0)}% of clients</strong> land on a different member.
                </div>`;
            } else if (algorithm === 'roundRobin') {
                algoNote = `<div style="margin-top:10px;font-size:13px;color:#5d4037;background:#fff8e1;padding:8px 12px;border-radius:4px;border:1px solid #ffe082;">
                    Round robin redistributes evenly — the ${failedSessionCount.toLocaleString()} sessions are shared equally across all surviving members.
                </div>`;
            } else if (algorithm === 'weighted') {
                algoNote = `<div style="margin-top:10px;font-size:13px;color:#5d4037;background:#fff8e1;padding:8px 12px;border-radius:4px;border:1px solid #ffe082;">
                    Weighted redistribution: sessions from the failed member flow to surviving members proportional to their weights,
                    matching the configured capacity ratios.
                </div>`;
            }
            redistributionHtml += algoNote;
            redistributionHtml += '<hr style="margin:15px 0; border:none; border-top:1px solid #eee;">';
        }
    } else {
        redistributionHtml = `<div style="color:#888;font-size:14px;padding:10px;">
            No members are currently marked DOWN. Use the failure simulation controls in the header to mark a member down,
            then re-run the simulation to see redistribution analysis.
        </div>`;
    }

    // ---- Render balance score ----
    const { balanceScore } = metrics;
    let scoreClass = 'excellent';
    let scoreLabel = 'Excellent';
    if (balanceScore < 40) { scoreClass = 'poor';      scoreLabel = 'Poor'; }
    else if (balanceScore < 65) { scoreClass = 'fair'; scoreLabel = 'Fair'; }
    else if (balanceScore < 85) { scoreClass = 'good'; scoreLabel = 'Good'; }

    document.getElementById('balanceScoreContainer').innerHTML = `
        <div class="balance-score-ring ${scoreClass}">${balanceScore}</div>
        <div class="balance-score-info">
            <h4>Balance Score: ${scoreLabel}</h4>
            <p>
                Score 0–100 where 100 = perfectly even distribution.<br>
                Calculated from the coefficient of variation (std dev / mean) across active members.
                A score above 85 is considered production-acceptable for most workloads.
            </p>
        </div>
    `;

    document.getElementById('algoExplanation').innerHTML = ALGO_EXPLANATIONS[algorithm] ?? '';

    // ---- Render metrics grid ----
    document.getElementById('metricsGrid').innerHTML = `
        <div class="metric-card">
            <div class="metric-value">${sessionCount.toLocaleString()}</div>
            <div class="metric-label">Total Sessions</div>
        </div>
        <div class="metric-card">
            <div class="metric-value">${metrics.stdDev.toFixed(1)}</div>
            <div class="metric-label">Std Deviation (sessions)</div>
        </div>
        <div class="metric-card">
            <div class="metric-value">${metrics.maxPct.toFixed(1)}%</div>
            <div class="metric-label">Max Member Load</div>
        </div>
        <div class="metric-card">
            <div class="metric-value">${metrics.minPct.toFixed(1)}%</div>
            <div class="metric-label">Min Member Load</div>
        </div>
    `;

    // ---- Render chart ----
    const labels = activeMembers.map(m => `${m.id}\n${m.ip}`);
    const sessionCounts = activeMembers.map(m => distribution.get(m.id) ?? 0);
    renderChart(labels, sessionCounts, idealPct, sessionCount);

    // ---- Render member detail rows ----
    let detailHtml = '';
    activeMembers.forEach(m => {
        const count = distribution.get(m.id) ?? 0;
        const pct = sessionCount > 0 ? ((count / sessionCount) * 100).toFixed(1) : '0.0';
        const barColor = loadColor(parseFloat(pct), idealPct);
        const barWidth = sessionCount > 0 ? Math.round((count / sessionCount) * 100) : 0;
        detailHtml += `
            <div class="data-row" style="border-left-color: ${barColor}; flex-direction: column; align-items: stretch; padding: 12px 15px;">
                <div style="display:flex; justify-content:space-between; margin-bottom:6px; flex-wrap:wrap; gap:6px;">
                    <span style="font-weight:bold; color:#444; font-size:14px;">${m.id} — ${m.ip}:${m.port}</span>
                    <span style="font-family:monospace; color:${barColor}; font-weight:bold; font-size:15px;">${count.toLocaleString()} sessions (${pct}%)</span>
                </div>
                <div style="background:#f0f0f0; border-radius:4px; height:8px; overflow:hidden;">
                    <div style="width:${barWidth}%; background:${barColor}; height:100%; border-radius:4px; transition:width 0.4s ease;"></div>
                </div>
                <div style="font-size:12px; color:#999; margin-top:4px;">
                    Weight: ${m.weight} &nbsp;|&nbsp; Ideal: ${idealPct.toFixed(1)}%
                </div>
            </div>
        `;
    });
    document.getElementById('memberDetailRows').innerHTML = detailHtml;

    // ---- Redistribution section ----
    document.getElementById('redistributionContent').innerHTML = redistributionHtml;
    document.getElementById('redistributionSection').classList.add('show');

    // ---- Hash ring section ----
    if (algorithm === 'consistentHash') {
        renderHashRing(activeMembers, virtualNodes, distribution);
        document.getElementById('hashRingSection').classList.add('show');
    } else {
        document.getElementById('hashRingSection').classList.remove('show');
    }

    // ---- Show results ----
    const resultsSection = document.getElementById('resultsSection');
    resultsSection.classList.add('show');
    resultsSection.scrollIntoView({ behavior: 'smooth', block: 'start' });
}

// ---- Initialization --------------------------------------

document.addEventListener('DOMContentLoaded', () => {
    renderMemberTable();
});
</script>