Cutting the electric bill for internet-scale systems
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Greening geographical load balancing
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Capping the electricity cost of cloud-scale data centers with impacts on power markets
Proceedings of the 20th international symposium on High performance distributed computing
GreenHadoop: leveraging green energy in data-processing frameworks
Proceedings of the 7th ACM european conference on Computer Systems
Green-aware workload scheduling in geographically distributed data centers
CLOUDCOM '12 Proceedings of the 2012 IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom)
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Customers are levied a charge by the cloud service providers for using their services and the attractiveness of the offered pricing plan is one of the key determinants in the cloud adoption. The paper presents a synergistic cloud where the pricing plan, scheduler, and the charge-back model work in tandem with each other to provide green and cost-efficient computing options and incentives to the environmentally-friendly and cost-conscious end-users. The fine-grained, wholesale electricity price aware scheduler works in synergy with end-users' choices to reduce operating energy costs. The fine-grained, resource-utilization based, and spot price aware charge-back model is used to provide incentives in form of reduced usage costs. Strong evaluation results with real-world traces from Google show the feasibility of the proposed techniques.