Approximation algorithms
Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Leakage aware dynamic voltage scaling for real-time embedded systems
Proceedings of the 41st annual Design Automation Conference
Energy-efficient policies for embedded clusters
LCTES '05 Proceedings of the 2005 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Queue - Multiprocessors
Leakage-Aware Energy-Efficient Scheduling of Real-Time Tasks in Multiprocessor Systems
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Energy-Efficient Real-Time Heterogeneous Server Clusters
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Attaining soft real-time constraint and energy-efficiency in web servers
Proceedings of the 2008 ACM symposium on Applied computing
Efficient Power Management of Heterogeneous Soft Real-Time Clusters
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
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For modern computer systems, both performance and power consumption must be considered to reduce the maintenance cost for quality of service guarantees. This paper proposes efficient and effective power management schemes for heterogeneous clusters. Distinct from existing heuristic approaches, we propose power management schemes with approximation factor guarantees, compared to the optimal power management. Our greedy power management schemes have 1.5-approximation or 2-approximation guarantees depending on the complexity. We also propose dynamic-programming approach which can trade the quality of the resulting solutions with different time/space complexity. Simulation results wrt different power consumption models show that the proposed schemes are effective for the minimization of the power consumption for large scale clusters.