A study on energy efficient cloud computing

The rapid increase in demand for computation, increasing amount of data storage needed for running high performance computing enterprises increases the energy and power consumed by large infrastructure. Cloud computing provides a solution to reduce the adverse environmental impacts and saves energy. Our paper draws the attention on the various methods enforced on the cloud environment to make it more energy efficient. In this paper the different energy and power models are being discussed and the main challenges to build a model for green cloud with the help of SLAs are identified. One of the main objectives considered in cloud computing is to provide reliable QoS. This can be defined in the SLA which describes such characteristics. The different ways to minimize energy and power in the cloud computing services are also being discussed in this paper. Our work surveys the various models which will pave the road map for an energy efficient cloud.

[1]  Chao-Tung Yang,et al.  Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines , 2011, 2011 IEEE International Conference on High Performance Computing and Communications.

[2]  A. Jain,et al.  Energy efficient computing- Green cloud computing , 2013, 2013 International Conference on Energy Efficient Technologies for Sustainability.

[3]  Albert Y. Zomaya,et al.  A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems , 2010, Adv. Comput..

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

[5]  C. Valliyammai,et al.  Efficient energy consumption in green cloud , 2014, 2014 International Conference on Recent Trends in Information Technology.

[6]  P. Singh,et al.  Energy efficient Green Cloud: Underlying structure , 2013, 2013 International Conference on Energy Efficient Technologies for Sustainability.

[7]  Ivona Brandic,et al.  Energy-efficient and SLA-aware management of IaaS clouds , 2012, 2012 Third International Conference on Future Systems: Where Energy, Computing and Communication Meet (e-Energy).

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

[9]  Ian Sommerville,et al.  CloudMonitor: Profiling Power Usage , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[10]  Manish Parashar,et al.  Energy-efficient application-aware online provisioning for virtualized clouds and data centers , 2010, International Conference on Green Computing.

[11]  Paul Krause,et al.  A digital ecosystem view on cloud computing , 2012, 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST).

[12]  Qiang He,et al.  An energy consumption model and analysis tool for Cloud computing environments , 2012, 2012 First International Workshop on Green and Sustainable Software (GREENS).

[13]  Cees T. A. M. de Laat,et al.  Profiling Energy Consumption of VMs for Green Cloud Computing , 2011, 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing.

[14]  Rolf Stadler,et al.  Gossip-based resource allocation for green computing in large clouds , 2011, 2011 7th International Conference on Network and Service Management.

[15]  Vipin Chaudhary,et al.  VMeter: Power modelling for virtualized clouds , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).

[16]  Rajkumar Buyya,et al.  Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges , 2010, PDPTA.

[17]  Wolf-Dietrich Weber,et al.  Power provisioning for a warehouse-sized computer , 2007, ISCA '07.