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The asynchronous model introduced in FLIP1 FLIP-425 effectively helps boost overall throughput with parallel I/O operations. However, simply expanding I/O parallelism is not enough for remote storage. For network I/O, the substantial round-trip time of RPC calls far outweighs the individual I/O size's impact. Hence, how to efficiently merge I/O requests into single network I/O operations and fetching multiple keys within a single call plays an important role in reducing the overhead of individual interactions and leverages available bandwidth more effectively. This becomes critically important for large-state jobs, where frequent state data fetching can lead to bottlenecks.
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