HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science
Snooze: A Scalable, Fault-Tolerant and Distributed Consolidation Manager for Large-Scale 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
Self-economy in cloud data centers: statistical assignment and migration of virtual machines
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
Model-driven auto-scaling of green cloud computing infrastructure
Future Generation Computer Systems
GPC'12 Proceedings of the 7th international conference on Advances in Grid and Pervasive Computing
TopCluster: A hybrid cluster model to support dynamic deployment in Grid
Journal of Computer and System Sciences
Dynamic Rightsizing with Quality-Controlled Algorithms in Virtualization Environments
International Journal of Grid and High Performance Computing
Virtual machine power measuring technique with bounded error in cloud environments
Journal of Network and Computer Applications
Mechanisms for SLA provisioning in cloud-based service providers
Computer Networks: The International Journal of Computer and Telecommunications Networking
Exploring sustainability research in computing: where we are and where we go next
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Autonomic performance-per-watt management (APM) of cloud resources and services
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Cloud engineering is Search Based Software Engineering too
Journal of Systems and Software
Network-aware virtual machine consolidation for large data centers
NDM '13 Proceedings of the Third International Workshop on Network-Aware Data Management
Hi-index | 0.00 |
Rapid growth of the demand for computational power has led to the creation of large-scale data centers. They consume enormous amounts of electrical power resulting in high operational costs and carbon dioxide emissions. Moreover, modern Cloud computing environments have to provide high Quality of Service (QoS) for their customers resulting in the necessity to deal with power-performance trade-off. We propose an efficient resource management policy for virtualized Cloud data centers. The objective is to continuously consolidate VMs leveraging live migration and switch off idle nodes to minimize power consumption, while providing required Quality of Service. We present evaluation results showing that dynamic reallocation of VMs brings substantial energy savings, thus justifying further development of the proposed policy.