DocumentCode :
123334
Title :
Experimental Study of Remote Job Submission and Execution on LRM through Grid Computing Mechanisms
Author :
Prajapati, Harshad B. ; Shah, V.A.
Author_Institution :
Inf. Technol. Dept., Dharmsinh Desai Univ., Nadiad, India
fYear :
2014
fDate :
8-9 Feb. 2014
Firstpage :
335
Lastpage :
341
Abstract :
Remote job submission and execution is fundamental requirement of distributed computing done using Cluster computing. However, Cluster computing limits usage within a single organization. Grid computing environment can allow use of resources for remote job execution that are available in other organizations. This paper discusses concepts of batch-job execution using LRM and using Grid. The paper discusses two ways of preparing test Grid computing environment that we use for experimental testing of concepts. This paper presents experimental testing of remote job submission and execution mechanisms through LRM specific way and Grid computing ways. Moreover, the paper also discusses various problems faced while working with Grid computing environment and discusses their trouble-shootings. The understanding and experimental testing presented in this paper would become very useful to researchers who are new to the field of job management in Grid.
Keywords :
grid computing; organisational aspects; resource allocation; workstation clusters; LRM; batch job execution; cluster computing; distributed computing; grid computing mechanism; job management; local resource manager; remote job execution mechanism; remote job submission mechanism; resource allocation; single organization; Grid computing; Organizations; Protocols; Security; Software; Testing; Virtual machining; Condor; Globus; Grid computing; Grid testbed; LRM; remote job execution; remote job submission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2014 Fourth International Conference on
Conference_Location :
Rohtak
Type :
conf
DOI :
10.1109/ACCT.2014.31
Filename :
6783473
Link To Document :
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