P2C Load Balancing Outperforms Round-Robin for Java Virtual Thread Workloads
A technical analysis argues that traditional round-robin load balancing degrades performance in high-concurrency Java environments where virtual threads can handle tens of thousands of simultaneous requests per instance. Round-robin fails because it assumes uniform request processing time, while real workloads face asymmetric I/O bottlenecks and microsecond-level queue spikes that host-level metrics cannot capture. The Power-of-Two-Choices (P2C) algorithm, combined with Exponentially Weighted Moving Average (EWMA) latency tracking, is proposed as a superior alternative for routing decisions. P2C works by randomly sampling two upstream nodes, scoring each based on active virtual threads and recent latency, then routing the request to the lower-scoring node. This approach achieves near-optimal load distribution in constant time without the lock contention or herd-effect failures associated with naive least-connections strategies.
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