Layered Contention Mitigation for Cloud Storage

We introduce an ecosystem of contention mitigation supports within the operating system, runtime and library layers. This ecosystem provides an end-to-end request abstraction that enables a uniform type of contention mitigation capabilities, namely request cancellation and delay prediction, that can be stackable together across multiple resource layers. Our evaluation shows that in our ecosystem, multi-resource storage applications are faster by 5-70% starting at 90P (the 90
^th
percentile) compared to popular practices such as speculative execution and is only 3% slower on average compared to a best-case (no contention) scenario.