Green Cloud Computing June 6, 2010Posted by Rajkumar Buyya in Cloud Computing, CLOUDS Lab News, Manjrasoft News.
I would like to share a pointer to our recent work on Green Cloud
Computing. As you know our CLOUDS Lab at the University of Melbourne has
been working on energy-efficient resource management techniques for Data
Centers since 2007. Based on this experience and its growing importance
for Cloud computing, we have put together an article that offers vision,
identifies key architectural elements for Green Cloud Computing, and
open challenges and presents initial results (see below for details). I
hope you will find it useful.
Full paper can be found at:
If you comments and suggestions on improving the work, please let us
know. Thank you.
Title: Energy-Efficient Management of Data Center Resources for Cloud
Computing: A Vision, Architectural Elements, and Open Challenges
Authors: Rajkumar Buyya, Anton Beloglazov, and Jemal Abawajy
Abstract: Cloud computing is offering utility-oriented IT services to
users worldwide. Based on a pay-as-you-go model, it enables hosting of
pervasive applications from consumer, scientific, and business domains.
However, data centers hosting Cloud applications consume huge amounts of
energy, contributing to high operational costs and carbon footprints to
the environment. Therefore, we need Green Cloud computing solutions that
can not only save energy for the environment but also reduce operational
costs. This paper presents vision, challenges, and architectural
elements for energy-efficient management of Cloud computing
environments. We focus on the development of dynamic resource
provisioning and allocation algorithms that consider the synergy between
various data center infrastructures (i.e., the hardware, power units,
cooling and software), and holistically work to boost data center energy
efficiency and performance. In particular, this paper proposes (a)
architectural principles for energy-efficient management of Clouds; (b)
energy-efficient resource allocation policies and scheduling algorithms
considering quality-of-service expectations, and devices power usage
characteristics; and (c) a novel software technology for
energy-efficient management of Clouds. We have validated our approach by
conducting a set of rigorous performance evaluation study using the
CloudSim toolkit. The results demonstrate that Cloud computing model has
immense potential as it offers significant performance gains as regards
to response time and cost saving under dynamic workload scenarios.
URL for Full Paper: http://www.buyya.com/papers/GreenCloud2010.pdf
Rajkumar Buyya, Anton Beloglazov, and Jemal Abawajy, Energy-Efficient
Management of Data Center Resources for Cloud Computing: A Vision,
Architectural Elements, and Open Challenges, Proceedings of the 2010
International Conference on Parallel and Distributed Processing
Techniques and Applications (PDPTA 2010), Las Vegas, USA, July 12-15, 2010.