Elastic and effective cloud-based solution in online education
Authors
Yi Jin, Jianhua Huang, Cheng Li, Qi Ye, Jun Yao
Corresponding Author
Yi Jin
Available Online May 2016.
- DOI
- 10.2991/wartia-16.2016.362How to use a DOI?
- Keywords
- cloud, Scaling, OpenStack, education, scheduling
- Abstract
By default, OpenStack scheduling policy is random scheduling, without considering load balancing of the resource pool. This paper proposes an elastic and effective cloud-based solution in online education. OpenStack integrating with Cloudify is used to build the cloud. An elastic scaling approach of resource provisioning is described in order to guarantee the performance of applications while the load fluctuations of online education applications occur. The solution improves the performance of applications, and adapts to the demand for resource provisioning in a private cloud. Experimental evaluation demonstrates the effectiveness of the proposed online education cloud.
- 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/).
Cite this article
TY - CONF AU - Yi Jin AU - Jianhua Huang AU - Cheng Li AU - Qi Ye AU - Jun Yao PY - 2016/05 DA - 2016/05 TI - Elastic and effective cloud-based solution in online education BT - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications PB - Atlantis Press SP - 1826 EP - 1830 SN - 2352-5401 UR - https://doi.org/10.2991/wartia-16.2016.362 DO - 10.2991/wartia-16.2016.362 ID - Jin2016/05 ER -