Qualitative Analyzing and Evaluating Energy Efficient Datacenters Based on Cloud Model in Cloud Environment

DOI

10.2991/cmes-15.2015.74How to use a DOI?

Keywords

Green cloud, energy efficiency, cloud model, tasks scheduling

Abstract

The green cloud becomes a center of attention, how to evaluate the energy efficiency of the cloud environment has been one of difficult and attractive field . Cloud models are the effective tools in transforming between qualitative concepts and their quantitative expressions. This paper designs an uncertainty enhanced energy-efficiency evaluation model based on cloud model theory, through the cloud model we convert the energy, performance and QoS parameters into qualitative concept, and then we propose a new tasks scheduling algorithm to optimize the energy-efficiency of cloud datacenters. Our research results can be integrated into Cloud systems to monitor energy efficiency and support static or dynamic system-level energy-efficiency optimization.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ke Han
AU  - Xiaobo Cai
AU  - Hui Rong
PY  - 2015/04
DA  - 2015/04
TI  - Qualitative Analyzing and Evaluating Energy Efficient Datacenters Based on Cloud Model in Cloud Environment
BT  - Proceedings of the 2nd International Conference on Civil, Materials and Environmental Sciences
PB  - Atlantis Press
SP  - 268
EP  - 271
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmes-15.2015.74
DO  - 10.2991/cmes-15.2015.74
ID  - Han2015/04
ER  -