Dynamic Load Balancing on Web-Server Systems
IEEE Internet Computing
RTSS '07 Proceedings of the 28th IEEE International Real-Time Systems Symposium
IEEE Transactions on Parallel and Distributed Systems
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Temperature-aware dynamic resource provisioning in a power-optimized datacenter
Proceedings of the Conference on Design, Automation and Test in Europe
A bio-inspired algorithm for energy optimization in a self-organizing data center
SOAR'09 Proceedings of the First international conference on Self-organizing architectures
ICPPW '10 Proceedings of the 2010 39th International Conference on Parallel Processing Workshops
Green Task Scheduling Algorithms with Speeds Optimization on Heterogeneous Cloud Servers
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
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Energy consumption in data centers is nowadays a critical objective because of its dramatic environmental and economic impact. Over the last years, several approaches have been proposed to tackle the energy/cost optimization problem, but most of them have failed on providing an analytical model to target both the static and dynamic optimization domains for complex heterogeneous data centers. This paper proposes and solves an optimization problem for the energy-driven configuration of a heterogeneous data center. It also advances in the proposition of a new mechanism for task allocation and distribution of workload. The combination of both approaches outperforms previous published results in the field of energy minimization in heterogeneous data centers and scopes a promising area of research.