Research of Graph Mining Base on Cloud

DOI

10.2991/nceece-15.2016.38How to use a DOI?

Keywords

Big Data; Data Mining; Cloud Computing; Energy Optimization; Dynamic Graph

Abstract

With respect to the problems of idle consumption and luxury consumption existing in the present cloud computing platform, and the current situation that the traditional graph mining method could not satisfy the massive data mining, A dynamic graph mining method for minimum energy consumption optimization cloud was proposed, resources integrated utilizing and massive data mining has been solved. First, the cloud computing energy measurement formula was proposed, and analyzes the rationality of two types of task scheduling policy theoretically. Second, one time the problems of system energy optimization and system operation efficiency was considered. Under the condition that the system operates well, it converts the problem of system energy optimization into system cost control, and the total cost of the objective function was proposed, a model for computing adaptive allocation algorithm and the minimum energy consumption optimization cloud was designed.

Copyright

© 2016, 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  - Cen Li
PY  - 2015/12
DA  - 2015/12
TI  - Research of Graph Mining Base on Cloud
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 189
EP  - 193
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.38
DO  - 10.2991/nceece-15.2016.38
ID  - Li2015/12
ER  -