The algorithm design manual
Improving Distributed Workload Performance by Sharing Both CPU and Memory Resources
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Adaptive and Virtual Reconfigurations for Effective Dynamic Job Scheduling in Cluster Systems
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Dynamic Load Sharing With Unknown Memory Demands in Clusters
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
IEEE Transactions on Parallel and Distributed Systems
Design and validation of a performance and power simulator for PowerPC systems
IBM Journal of Research and Development
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Vpm tokens: virtual machine-aware power budgeting in datacenters
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Experimental study of virtual machine migration in support of reservation of cluster resources
VTDC '07 Proceedings of the 2nd international workshop on Virtualization technology in distributed computing
pMapper: power and migration cost aware application placement in virtualized systems
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
A decentralized model for scheduling independent tasks in Federated Grids
Future Generation Computer Systems
EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments
CLOUD '09 Proceedings of the 2009 IEEE International Conference on Cloud Computing
Computational models and heuristic methods for Grid scheduling problems
Future Generation Computer Systems
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Task scheduling modelling and reliability evaluation of grid services using coloured Petri nets
Future Generation Computer Systems
FlexPRICE: Flexible Provisioning of Resources in a Cloud Environment
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Editorial: Special section: Green computing
Future Generation Computer Systems
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Towards greener data centers with storage class memory
Future Generation Computer Systems
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Since power is one of the major limiting factors for a data center or for large cluster growth, the objective of this study is to minimize the power consumption of the cluster without violating the performance constraints of the applications. We propose a runtime virtual machine (VM) mapping framework in a cluster or data center to save energy. The new framework can make reconfiguration decisions on time with the consideration of a low influence on the performance. In the GreenMap framework, one probabilistic, heuristic algorithm is designed for the optimization problem: mapping VMs onto a set of physical machines (PMs) under the constraint of multi-dimensional resource consumptions. Experimental measurements show that the new method can reduce the power consumption by up to 69.2% over base, with few performance penalties. The effectiveness and performance insights are also analytically verified.