The Approach to Profile the Data Logs for Energy Saving

DOI

10.2991/emim-17.2017.336How to use a DOI?

Keywords

Virtual Machines; Physical Machine; Profiling Data; First-fit-decrease

Abstract

The paper aims at developing a system to profile the data logs for virtual machines as well as virtual machine placement respect to energy consumption. A framework is designed for data profiling and virtual machine placement, each of the profile-based framework is described. It provides a clear structure of profiling, tasks classification and virtual machine placement, emphasize the improvement from original first-fit-decrease. The final step is to evaluate the performance of the approach from the feasibility and stability two aspects.

Copyright

© 2017, 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  - Shoujin Wang
AU  - Xiaotong Cheng
AU  - Song Guo
PY  - 2017/04
DA  - 2017/04
TI  - The Approach to Profile the Data Logs for Energy Saving
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1658
EP  - 1662
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.336
DO  - 10.2991/emim-17.2017.336
ID  - Wang2017/04
ER  -