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- W2978280452 abstract "Improving server utilization is increasingly important to service providers. Latency-critical services have strict tail latency service-level objects and safe colocation of the latencycritical service with other workloads on the same machine is difficult. This would underutilize server resources. We present Hermes, a user-level resource management layer to address this dilemma. We implement two kinds of runtime systems in Hermes, one for latency-critical workloads (LC runtime) and one for besteffort workloads (BE runtime). LC runtime implements userlevel thread management and controls the dedicated computing resources occupied by latency-critical workload through a feedback-based controller. BE runtimes schedule threads of besteffort workloads to take advantage of simultaneous multithreading technology. Runtime systems are aware of their colocation and work in a cooperative approach to improve server utlization without violating the tail latency service-level objects of the latency-critical workload. Hermes is implemented entirely at user-level on Linux. We evaluate Hermes using memcached and several sythetic micro-benchmarks, the result shows that Hermes could achieve both safe colocation and improvement of core utilization." @default.
- W2978280452 created "2019-10-10" @default.
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- W2978280452 date "2019-08-01" @default.
- W2978280452 modified "2023-09-24" @default.
- W2978280452 title "Hermes: Improving Server Utilization by Colocation-Aware Runtime Systems" @default.
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- W2978280452 doi "https://doi.org/10.1109/hpcc/smartcity/dss.2019.00131" @default.
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