A Virtual Network Performance Optimization Strategy for Cloud-based Big Data Processing
- DOI
- 10.2991/ameii-15.2015.284How to use a DOI?
- Keywords
- Cloud computing; OpenStack Neutron; virtual networks; MapReduce
- Abstract
With the widely use of cloud-based MapReduce frameworks, an increasing number of solutions have been proposed to optimize the performance of the cluster. Majority of the existing studies concentrate on optimizing the task scheduling or resource provisioning mechanisms to improve the platform’s data processing or communication performance separately, without an overall consideration. This paper designs and implements a novel virtual network performance optimization strategy for cloud-based big data processing, which changes the topology of virtual networks to optimize MapReduce performance. We implement our strategy (named Topology Optimized Mechanism on OpenStack Neutron) using python and integrate TOMON into Neutron as a separate plug-in to realize automatic deployment of virtual networks.
- 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/).
Cite this article
TY - CONF AU - Lulu Pan PY - 2015/04 DA - 2015/04 TI - A Virtual Network Performance Optimization Strategy for Cloud-based Big Data Processing BT - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics PB - Atlantis Press SP - 1538 EP - 1541 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-15.2015.284 DO - 10.2991/ameii-15.2015.284 ID - Pan2015/04 ER -