ICWS '04 Proceedings of the IEEE International Conference on Web Services
Optimizing cost and performance for multihoming
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
IEEE Transactions on Parallel and Distributed Systems
Two-Tier Resource Allocation for Slowdown Differentiation on Server Clusters
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Attaining soft real-time constraint and energy-efficiency in web servers
Proceedings of the 2008 ACM symposium on Applied computing
INFOCOM'10 Proceedings of the 29th conference on Information communications
Capping the brown energy consumption of Internet services at low cost
GREENCOMP '10 Proceedings of the International Conference on Green Computing
Power-demand routing in massive geo-distributed systems
Power-demand routing in massive geo-distributed systems
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Online service providers(OSPs) have Internet data centers (IDCs) in multiple geographical locations in order to satisfy global user demand. Increased data centers consume a large amount of energy, and at the same time cause increased heat dissipation, greater cooling requirements, reduced computational density, and higher operating costs. It places a heavy burden on both the environment and energy resources. OSPs are now focusing more than ever on the need to improve energy efficiency. A new challenge has emerged besides the energy cost, the reduction of the carbon footprint. Although electricity is a clean and relatively safe form of energy to use, there are environmental impacts associated with the production and transmission of electricity. Meanwhile, increased online services require more Internet usage, especially with the trend of cloud computing, the network costs account for a large portion of operation costs for OSPs. This paper proposes an optimization load dispatching model to minimize the overall cost for OSPs. The electricity cost for IDCs and network cost are both taken into account. We conduct extensive evaluations based on real workload data and electricity price data. The results prove the effectiveness of our load dispatching model with a theoretically guaranteed quality of service(QoS).