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Heterogeneous multi-core systems such as big/little architectures have beenintroduced as an attractive server design option with the potential to improveperformance under power constraints in data centres. Since both bighigh-performing and little power-efficient cores can run on the same systemsharing the workload processing, thread mapping/scheduling turns out to be muchmore challenging. This is particularly hard when considering the differenttrade-offs shaped by the heterogeneous cores on the quality-of-service(expressed as tail latency) experienced by user-facing applications, such asWeb Search.  In this work, we present Hurry-up, a runtime thread mapping solution designedto select individual requests to run on the most appropriate heterogeneouscores to improve tail latency. Hurry-up accelerates compute-intensive requestson big cores, while letting less intensive threads to execute on little cores.We implement and deploy Hurry-up on a real 64-bit big/little architecture (ARMJuno), and show that, compared to a conservative policy on Linux, Hurry-upreduces the server tail latency by 39.5% (mean).

Hurry-up: Scaling Web Search on Big/Little Multi-core Architectures