Reducing energy bill of data center via flexible partial execution
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Several Demand Response (DR) strategies are emerged recently to modulate the workloads of Data Center (DC) and shave the corresponding energy bill. However, since most of these DR strategies will result in the increase of latency, they can only be used for modulating the elastic workloads, which are delay-tolerant. To improve the flexibility of workload modulation and reduction of energy bill, we propose flexible partial execution for DC, which can be used to handle inelastic workloads. Further, to incentivize users of DC grant flexible partial execution of their workloads, we offer them time-varying price discount, on top of commonly-applied usage-based pricing policy. With real-world data traces, the results show that a DC with our proposed flexible partial execution can shave its peak power consumption and energy bill by \(30.9\%\) and \(20.8\%\) while improving its profit by \(18.8\%\) when comparing against the one with rigid partial execution, i.e., a fixed percentage of requests/workloads can be partially executed, which is commonly employed by today’s DCs.
KeywordsDemand response (DR) Data center (DC) Flexible partial execution Time-varying price discount
This work was partially funded by Humanities and social sciences project grant number 13XJA790006, China industrial technology association of economic management colleges grant number 16GYJS030 and Xi’an social science planning fund project 17Z06.
- Lounis M, Bounceur A, Euler R, Pottier B (2017) Estimation of energy consumption through parallel computing in wireless sensor networks. J Ambient Intell Hum Comput https://doi.org/10.1007/s12652-017-0582-5
- Xu H, Li B (2014) Reducing electricity demand charge for data centers with partial execution. In: e-Energy '14 Proceedings of the 5th international conference on Future energy systems, pp 51–61. https://doi.org/10.1145/2602044.2602048