Rhythm
Laiping Zhao, Yanan Yang, Kaixuan Zhang, Xiaobo Zhou, Tie Qiu, Keqiu Li, Yungang Bao
Abstract
Cloud service providers improve resource utilization by co-locating latency-critical (LC) workloads with best-effort batch (BE) jobs in datacenters. However, they usually treat an LC workload as a whole when allocating resources to BE jobs and neglect the different features of components of an LC workload. This kind of coarse-grained co-location method leaves a significant room for improvement in resource utilization.
Topics & Concepts
WorkloadComputer scienceCloud computingLatency (audio)Resource (disambiguation)Service providerResource management (computing)Distributed computingService (business)Operating systemComputer networkBusinessTelecommunicationsMarketingCloud Computing and Resource ManagementParallel Computing and Optimization TechniquesAdvanced Memory and Neural Computing