USENIX ATC '23 - Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks

USENIX ATC '23 - Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks

Won Wook Song, Seoul National University, Taegeon Um, Samsung Research, Sameh Elnikety, Microsoft Research, Myeongjae Jeon, UNIST, Byung-Gon Chun, Seoul National University and FriendliAI

Streaming workloads deal with data that is generated in real-time. This data is often unpredictable and changes rapidly in volume. To deal with these fluctuations, current systems aim to dynamically scale in and out, redistribute, and migrate computing tasks across a cluster …

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