Novel resource allocation algorithms to performance and energy efficiency in cloud computing
Authors:
- Abbas HorriAHAbbas Horri
- Mohammad Sadegh MozafariMMMohammad Sadegh Mozafari
- Gholamhossein DastghaibyfardGDGholamhossein Dastghaibyfard
- 24 June 2014
- journal article
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 69 (3) , 1445-1461
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Batch scheduling of consolidated virtual machines based on their workload interference modelFuture Generation Computer Systems, 2013
- Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computingFuture Generation Computer Systems, 2012
- Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centersConcurrency and Computation: Practice and Experience, 2011
- Frontmatter2011
- Simplified cloud-oriented virtual machine management with MLNThe Journal of Supercomputing, 2010
- Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utilityFuture Generation Computer Systems, 2009
- Power and performance management of virtualized computing environments via lookahead controlCluster Computing, 2008
- Energy cost, the key challenge of today's data centersProceedings of the VLDB Endowment, 2008
- VirtualPowerACM SIGOPS Operating Systems Review, 2007
- Xen and the art of virtualizationACM SIGOPS Operating Systems Review, 2003