Research on VM Dynamic Scheduling in Cloud Environment

DOI

10.2991/icmse-18.2018.130How to use a DOI?

Keywords

cloud computing, VM dynamic Scheduling, multi-objective, BFD, ARIMA.

Abstract

In order to improve the uneven utilization of resources, electricity power loss and QoS (Quality of Service) in the cloud environment, a multi-objective VM (virtual machine) dynamic Scheduling mechanism is proposed. The VM in the cloud environment is dynamically managed via designing the strategy of migration triggering, selection of migrating VM and dynamic placement of VM. In the proposed mechanism, the model of ARIMA is employed to predict the utilization rate of physical host resources. Moreover, the improved BFD algorithm plays the role of allocating VMs dynamically according to the dual-threshold trigger migration. The empirical results demonstrate that the load balancing of physical hosts can be effectively ensured and the power consumption can be reduced while maintaining a slow SLA violation rate.

Copyright

© 2018, 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  - Hanqian Wu
AU  - Tao Chen
AU  - Jue Xie
PY  - 2018/05
DA  - 2018/05
TI  - Research on VM Dynamic Scheduling in Cloud Environment
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 702
EP  - 708
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.130
DO  - 10.2991/icmse-18.2018.130
ID  - Wu2018/05
ER  -