Cloud Computing System Scheduling Model Based On Bayesian Network

DOI

10.2991/icimm-15.2015.203How to use a DOI?

Keywords

Cloud Computing; Architecture; Elasticity; Copy Service; Optimal Scheduling

Abstract

Cloud computing platform has also posed challenges to resource management and service scheduling using virtualization technology while allowing software applications to become more efficient. On the basis of making study on difference in scheduling between "SaaS" and "IaaS", this paper focuses on resource scheduling of architecture layer, proposing scheduling model based on stochastic theory, and describes the scheduling of the layer as a problem of multi-objective optimization. In addition to service quality requirements, this paper also considers the important feature of cloud service of flexibility, and provides policy for matching task scheduling and elasticity copy service. Experiments show that the design of the scheduling mechanism has optimized the overall performance of the cloud platform, which has achieved a better load balancing and resource utilization.

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  - Hong Yang
AU  - Li Yang
AU  - Feng Lv
PY  - 2015/07
DA  - 2015/07
TI  - Cloud Computing System Scheduling Model Based On Bayesian Network
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 1122
EP  - 1126
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.203
DO  - 10.2991/icimm-15.2015.203
ID  - Yang2015/07
ER  -