Sriram Govindan, Di Wang, A. Sivasubramaniam, B. Urgaonkar
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We show these mechanisms to have performance degrading ramifications, and propose an entirely orthogonal solution that leverages existing UPS batteries to temporarily augment the utility supply during emergencies. We build an experimental prototype to demonstrate such power capping on a cluster of 8 servers, each with an individual battery, and implement several online heuristics in the context of different datacenter workloads to evaluate their effectiveness in handling power emergencies. We show that our battery-based solution can: (i) handle emergencies of short durations on its own, (ii) supplement existing reaction mechanisms to enhance their efficacy for longer emergencies, and (iii) create more slack for shifting applications temporarily to nonpeak durations.","PeriodicalId":50918,"journal":{"name":"ACM Transactions on Computer Systems","volume":"14 1","pages":"2"},"PeriodicalIF":2.0000,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Aggressive Datacenter Power Provisioning with Batteries\",\"authors\":\"Sriram Govindan, Di Wang, A. Sivasubramaniam, B. Urgaonkar\",\"doi\":\"10.1145/2427631.2427633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Datacenters spend $10--25 per watt in provisioning their power infrastructure, regardless of the watts actually consumed. Since peak power needs arise rarely, provisioning power infrastructure for them can be expensive. One can, thus, aggressively underprovision infrastructure assuming that simultaneous peak draw across all equipment will happen rarely. The resulting nonzero probability of emergency events where power needs exceed provisioned capacity, however small, mandates graceful reaction mechanisms to cap the power draw instead of leaving it to disruptive circuit breakers/fuses. Existing strategies for power capping use temporal knobs local to a server that throttle the rate of execution (using power modes), and/or spatial knobs that redirect/migrate excess load to regions of the datacenter with more power headroom. We show these mechanisms to have performance degrading ramifications, and propose an entirely orthogonal solution that leverages existing UPS batteries to temporarily augment the utility supply during emergencies. 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Aggressive Datacenter Power Provisioning with Batteries
Datacenters spend $10--25 per watt in provisioning their power infrastructure, regardless of the watts actually consumed. Since peak power needs arise rarely, provisioning power infrastructure for them can be expensive. One can, thus, aggressively underprovision infrastructure assuming that simultaneous peak draw across all equipment will happen rarely. The resulting nonzero probability of emergency events where power needs exceed provisioned capacity, however small, mandates graceful reaction mechanisms to cap the power draw instead of leaving it to disruptive circuit breakers/fuses. Existing strategies for power capping use temporal knobs local to a server that throttle the rate of execution (using power modes), and/or spatial knobs that redirect/migrate excess load to regions of the datacenter with more power headroom. We show these mechanisms to have performance degrading ramifications, and propose an entirely orthogonal solution that leverages existing UPS batteries to temporarily augment the utility supply during emergencies. We build an experimental prototype to demonstrate such power capping on a cluster of 8 servers, each with an individual battery, and implement several online heuristics in the context of different datacenter workloads to evaluate their effectiveness in handling power emergencies. We show that our battery-based solution can: (i) handle emergencies of short durations on its own, (ii) supplement existing reaction mechanisms to enhance their efficacy for longer emergencies, and (iii) create more slack for shifting applications temporarily to nonpeak durations.
期刊介绍:
ACM Transactions on Computer Systems (TOCS) presents research and development results on the design, implementation, analysis, evaluation, and use of computer systems and systems software. The term "computer systems" is interpreted broadly and includes operating systems, systems architecture and hardware, distributed systems, optimizing compilers, and the interaction between systems and computer networks. Articles appearing in TOCS will tend either to present new techniques and concepts, or to report on experiences and experiments with actual systems. Insights useful to system designers, builders, and users will be emphasized.
TOCS publishes research and technical papers, both short and long. It includes technical correspondence to permit commentary on technical topics and on previously published papers.