Openstack Cloud Performance Optimization using Linux Services

Author

Ismail, Muhammad Ali ; Ismail, Muhammad Faraz ; Ahmed, Hameeza

Author_Institution

Comput. & Inf. Syst. Eng. Dept., NED Univ. of Eng. & Technol., Karachi, Pakistan

fYear

2015

fDate

26-29 April 2015

Firstpage

1

Lastpage

4

Abstract

Cloud computing is an emerging trend for online computing and resource management. OpenStack is one of the most widely used open source platform for establishing public and private clouds. Besides its implementation issues much of the importance is being given on its performance optimization. This paper focuses on such a study to improve performance of an OpenStack Cloud and its further optimization by configuring the Linux services like rpcbind for Remote Procedure Calls (RPC). The benchmarking is done by executing multiple MapReduce benchmarks on a configured multi-node Hadoop cluster on the cloud as a software service. The results indicates that after configuring the rpcbind service in the cloud, the performance of its software services enhances by means of reduced elapsed time of the benchmarks executed.

Keywords

Linux; cloud computing; open systems; parallel processing; public domain software; remote procedure calls; resource allocation; software performance evaluation; Linux services; MapReduce benchmarks; OpenStack cloud performance optimization; RPC; cloud as a software service; cloud computing; multinode Hadoop cluster; online computing; open source platform; private clouds; public clouds; remote procedure calls; resource management; rpcbind service; Benchmark testing; Cloud computing; Linux; Measurement; Optimization; Servers;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing (ICCC), 2015 International Conference on

Conference_Location

Riyadh

Print_ISBN

978-1-4673-6617-5

Type

conf

DOI

10.1109/CLOUDCOMP.2015.7149648

Filename

7149648