Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Managing server energy and operational costs in hosting centers
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Ensemble-level Power Management for Dense Blade Servers
Proceedings of the 33rd annual international symposium on Computer Architecture
Risk-Resilient Heuristics and Genetic Algorithms for Security-Assured Grid Job Scheduling
IEEE Transactions on Computers
JouleSort: a balanced energy-efficiency benchmark
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Practical Scheduling of Bag-of-Tasks Applications on Grids with Dynamic Resilience
IEEE Transactions on Computers
VirtualPower: coordinated power management in virtualized enterprise systems
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
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
Power-aware dynamic placement of HPC applications
Proceedings of the 22nd annual international conference on Supercomputing
Incentive-Based Scheduling for Market-Like Computational Grids
IEEE Transactions on Parallel and Distributed Systems
Discovering performance bounds for grid scheduling by using evolutionary multiobjective optimization
Proceedings of the 10th annual conference on Genetic and evolutionary computation
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Availability Modeling and Cost Optimization for the Grid Resource Management System
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the energy-performance tradeoff for parallel applications
EPEW'10 Proceedings of the 7th European performance engineering conference on Computer performance engineering
Markov Model Based Power Management in Server Clusters
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
Server farms' power consumption minimized via best allocation of servers and ancillary equipments
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
On the utility of DVFS for power-aware job placement in clusters
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Energy-aware service allocation
Future Generation Computer Systems
ECO-ALOC: Energy-efficient resource allocation for cluster-based software routers
Computer Networks: The International Journal of Computer and Telecommunications Networking
Optimal Server Allocation and Frequency Modulation on Multi-Core Based Server Clusters
International Journal of Green Computing
Dynamic Rightsizing with Quality-Controlled Algorithms in Virtualization Environments
International Journal of Grid and High Performance Computing
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Green computing is a new paradigm of designing the computer system which considers not only the processing performance but also the energy efficiency. Power management is one of the approaches in green computing to reduce the power consumption in distributed computing system. In this paper, we first propose an optimal power management (OPM) used by a batch scheduler in a server farm. This OPM observes the state of a server farm and makes the decision to switch the operation mode (i.e., active or sleep) of the server to minimize the power consumption while the performance requirements are met. An optimization problem based on constrained Markov decision process (CMDP) is formulated and solved to obtain an optimal decision of OPM. Given that OPM is used in the server farm, then an assignment of users to the server farms by a job broker is considered. This assignment is to ensure that the cost due to power consumption and network transportation is minimized. The performance of the system is extensively evaluated. The result shows that with OPM the job waiting time can be maintained below the maximum threshold while the power consumption is much smaller than that without OPM.