Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
WETICE '09 Proceedings of the 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises
Virtual machine power metering and provisioning
Proceedings of the 1st ACM symposium on Cloud computing
Energy proportionality of an enterprise network
Proceedings of the first ACM SIGCOMM workshop on Green networking
ElasticTree: saving energy in data center networks
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
GentleCool: cooling aware proactive workload scheduling in multi-machine systems
Proceedings of the Conference on Design, Automation and Test in Europe
Workload management for power efficiency in virtualized data centers
Communications of the ACM
Dynamic hosting management of web based applications over clouds
HIPC '11 Proceedings of the 2011 18th International Conference on High Performance Computing
Energy efficient utilization of resources in cloud computing systems
The Journal of Supercomputing
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A novel economic model for cloud-based services is presented that: (i) transparently presents energy demands (of services) to the customers in a simple abstract form, called green point, which is understandable to any general user; (ii) provides economic incentives (through dynamic discounts) as motivations for customers to select greener configuration; and (iii) offers service prices to customers such that the profit of cloud vendor is maximized while providing the discounts. Price is differentiated for different classes of customers (e.g. gold, silver, and bronze) and dynamic based on posterior distribution on resource demand considering both current demand and willingness toward green configuration. The model enables a paradigm shift in cloud service offering that provides higher transparency and control knobs to users for greener configuration. Preliminary results indicate higher profit using the proposed model compared to static pricing in existing pay-per-use service offerings.