Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
A Transformation Model for Heterogeneous Servers
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
Wikipedia workload analysis for decentralized hosting
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cutting the electric bill for internet-scale systems
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Managing the cost, energy consumption, and carbon footprint of internet services
Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems
INFOCOM'10 Proceedings of the 29th conference on Information communications
NapSAC: design and implementation of a power-proportional web cluster
Proceedings of the first ACM SIGCOMM workshop on Green networking
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Large, Internet based companies service user requests from multiple data centers located across the globe. These data centers often house a heterogeneous computing infrastructure and draw electricity from the local electricity market. Reducing the electricity costs of operating these data centers is a challenging problem, and in this work, we propose a novel solution which exploits both the data center heterogeneity and global electricity market diversity to reduce data center operating cost. We evaluate our solution in our test-bed that simulates a heterogeneous data center, using real-world request workload and real-world electricity prices. We show that our strategies achieve cost and energy saving of at least 21% over a naive load balancing scheme that distributes requests evenly across data centers, and outperform existing solutions which either do not exploit the electricity market diversity or do not exploit data center hardware diversity.