#5847. Online delay-guaranteed workload scheduling to minimize power cost in cloud data centers using renewable energy

July 2026publication date
Proposal available till 17-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Theoretical Computer Science;
Computer Networks and Communications;
Hardware and Architecture;
Software;
Artificial Intelligence;
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Abstract:
More and more cloud data centers are turning to leverage on-site renewable energy to reduce power cost for sustainable development. But how to effectively coordinate the intermittent renewable energy with workload remains to be a great challenge. This paper investigates the problem of workload scheduling for power cost minimization under the constraints of different Service Level Agreements (SLAs) of delay tolerant workload and delay sensitive workload for green data centers in a smart grid. Different from the existing studies, we take into consideration of the impact of zero price in the smart grid and the cost of on-site renewable energy. To handle the randomness of workload, electricity price and renewable energy availability, we first formulate the problem as a constrained stochastic problem. Then we propose an efficient online control algorithm named ODGWS (Online Delay-Guaranteed Workload Scheduling) which makes online scheduling decisions achieve a bounded guarantee from the worst scheduling delay for delay tolerant workload.
Keywords:
Cloud data center; Delay tolerant scheduling; Lyapunov optimization; Renewable energy; Smart grid

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