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WASM Edge Computing: Performance Optimization

WASM Edge Computing: Performance Optimization

Part of: WASM Edge Computing User Guide

Edge Function Optimization

1. Minimize Bundle Size

// Use dynamic imports
#[heliosdb_edge_function]
pub async fn handler(ctx: &EdgeContext) -> Result<Value> {
    // Only load heavy modules when needed
    if needs_crypto {
        let crypto = import_crypto_module().await?;
        crypto.encrypt(&data)?;
    }


    Ok(result)
}


// Target: <1MB WASM bundle
// Typical: 200-500KB

2. Optimize Hot Paths

// Cache compiled WASM instances
static INSTANCE_CACHE: Lazy<InstanceCache> = Lazy::new(|| {
    InstanceCache::new(100) // Cache 100 instances
});


// Reuse instances across requests
let instance = INSTANCE_CACHE.get_or_compile(&function_name)?;
let result = instance.invoke(&args)?;

3. Use SIMD When Available

#[cfg(target_feature = "simd128")]
use std::arch::wasm32::*;


#[heliosdb_edge_function]
pub async fn process_batch(data: Vec<f32>) -> Vec<f32> {
    #[cfg(target_feature = "simd128")]
    {
        // Use WASM SIMD for 4x speedup
        process_simd(&data)
    }


    #[cfg(not(target_feature = "simd128"))]
    {
        process_scalar(&data)
    }
}

Cache Tuning

1. Optimize Cache Sizes

// Monitor cache hit rates
let stats = cache.stats();


if stats.l1_stats.hit_rate < 0.90 {
    // Increase L1 size
    let new_config = MultiTierCacheConfig {
        l1_size_bytes: 1024 * 1024 * 1024, // 1GB
        ..config
    };
}


if stats.l2_stats.hit_rate < 0.80 {
    // Increase L2 size
    let new_config = MultiTierCacheConfig {
        l2_size_bytes: 20 * 1024 * 1024 * 1024, // 20GB
        ..config
    };
}

2. Tune Promotion/Demotion

// Aggressive promotion (better hit rate, more memory)
let config = MultiTierCacheConfig {
    promotion_threshold: 2, // Promote after 2 accesses
    demotion_threshold: 1800, // Demote after 30 min
    ..Default::default()
};


// Conservative promotion (less memory, lower hit rate)
let config = MultiTierCacheConfig {
    promotion_threshold: 10, // Promote after 10 accesses
    demotion_threshold: 7200, // Demote after 2 hours
    ..Default::default()
};

3. Enable Prefetching

let config = MultiTierCacheConfig {
    enable_prefetch: true,
    prefetch_window_secs: 60,
    ..Default::default()
};


// Monitor prefetch accuracy
let stats = cache.stats();
if stats.prefetch_accuracy > 0.7 {
    // Good accuracy, increase window
    config.prefetch_window_secs = 120;
} else if stats.prefetch_accuracy < 0.3 {
    // Poor accuracy, disable or reduce window
    config.enable_prefetch = false;
}

Geographic Distribution

1. Co-locate with Users

// Analyze user distribution
let user_regions = analyze_user_regions().await?;


// Deploy more nodes in high-traffic regions
for (region, user_count) in user_regions {
    if user_count > 10000 {
        deploy_edge_node(region, /* capacity */ user_count / 100).await?;
    }
}

2. Strategic Failover Regions

let policy = RoutingPolicy {
    enable_failover: true,
    failover_regions: 3,
    ..Default::default()
};


// Select failover regions by distance
let decision = router.route(client_location)?;


println!("Primary: {}", decision.primary_node.region.name());
for (i, fallback) in decision.fallback_nodes.iter().enumerate() {
    println!("Failover {}: {}", i + 1, fallback.region.name());
}

CDN Selection

1. Multi-CDN Strategy

// Deploy to multiple CDNs
let providers = vec![
    CdnProvider::Cloudflare,     // Best global coverage
    CdnProvider::AwsLambdaEdge,  // Best AWS integration
    CdnProvider::FastlyCompute,  // Fastest cold starts
];


for provider in providers {
    cdn_manager.deploy(
        provider,
        function_name.clone(),
        wasm_bytes.clone(),
        version.clone(),
    ).await?;
}

2. Provider-Specific Optimization

// Cloudflare: Optimize for global distribution
let cf_config = CdnConfig {
    provider: CdnProvider::Cloudflare,
    enabled_regions: Region::all(), // All regions
    cache_ttl: Duration::from_secs(3600),
    ..Default::default()
};


// AWS Lambda@Edge: Optimize for AWS-centric workloads
let aws_config = CdnConfig {
    provider: CdnProvider::AwsLambdaEdge,
    enabled_regions: vec![
        Region::UsEast1,
        Region::UsWest2,
        Region::EuWest1,
    ],
    cache_ttl: Duration::from_secs(300),
    ..Default::default()
};

Latency Monitoring

// Track latency percentiles
let mut latencies = Vec::new();


for request in requests {
    let start = Instant::now();
    let result = execute_at_edge(&request).await?;
    let latency = start.elapsed();
    latencies.push(latency.as_micros() as f64 / 1000.0);
}


latencies.sort_by(|a, b| a.partial_cmp(b).unwrap());


let p50 = percentile(&latencies, 0.50);
let p95 = percentile(&latencies, 0.95);
let p99 = percentile(&latencies, 0.99);
let p999 = percentile(&latencies, 0.999);


println!("P50: {:.2}ms", p50);
println!("P95: {:.2}ms", p95);
println!("P99: {:.2}ms", p99);
println!("P99.9: {:.2}ms", p999);


// Alert if SLO violated
if p99 > 50.0 {
    alert!("P99 latency {} ms exceeds 50ms SLO", p99);
}