A Survey on the Power and Energy Consumption of Cloud Computing

Cloud computing is dilating regularly over few years in the technology commerce. It is a multitenant habitat pledge the services and resources distracted from IT infrastructure which are served “on demand” and “at scale” in the cloud domain. In this survey paper various components assesses cloud, deployment models and various cloud service models are discussed. Many analysts have proposed discrete techniques to improve energy efficiency and reducing power consumption. This paper represents the survey on existing power consumption and energy efficiency in cloud computing.

[1]  Erol Gelenbe,et al.  Energy-Efficient Cloud Computing , 2010, Comput. J..

[2]  Keqin Li,et al.  Managing performance and power consumption tradeoff for multiple heterogeneous servers in cloud computing , 2013, Cluster Computing.

[3]  Mohsen Sharifi,et al.  Power-efficient distributed scheduling of virtual machines using workload-aware consolidation techniques , 2012, The Journal of Supercomputing.

[4]  Abbas Horri,et al.  Novel resource allocation algorithms to performance and energy efficiency in cloud computing , 2014, The Journal of Supercomputing.

[5]  Dzmitry Kliazovich,et al.  GreenCloud: a packet-level simulator of energy-aware cloud computing data centers , 2010, The Journal of Supercomputing.

[6]  Gargi Dasgupta,et al.  Server Workload Analysis for Power Minimization using Consolidation , 2009, USENIX Annual Technical Conference.

[7]  Rodney S. Tucker,et al.  Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport , 2011, Proceedings of the IEEE.

[8]  Xi He,et al.  Power-aware scheduling of virtual machines in DVFS-enabled clusters , 2009, 2009 IEEE International Conference on Cluster Computing and Workshops.

[9]  Massoud Pedram,et al.  SLA-based Optimization of Power and Migration Cost in Cloud Computing , 2012, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012).