Paper Info
Title
An Architectural Design of a Job Management System Leveraging Software Defined Network
Abstract
Whether to be able to efficiently utilize the interconnect in a cluster system is a key factor in deciding the computational performance especially for a class of jobs that require intensive communications between processes. However, most of Job Management Systems (JMSs), which are deployed on cluster systems for load-balancing, do not have any mechanism that takes the pattern and requirements of communication occurred in a job into consideration, regardless of potential large impact on its performance. In this research, we explore a novel JMS that can assign computing resources to jobs submitted to the JMS from a standpoint of efficient use of both network and processor resource. More technically, in this paper, a JMS that integrates the network programming functionality of OpenFlow as Software Defined Network is proposed and discussed towards better and more efficient allocation of computing and network resources.
Year
DOI
Venue
2013
10.1109/COMPSACW.2013.108
Computer Software and Applications Conference Workshops
Keywords
Field
DocType
intensive communication,architectural design,network programming functionality,computational performance,novel jms,cluster system,efficient use,software defined network,efficient allocation,network resource,job management system leveraging,job management systems,openflow,network topology,switches,network resources,bandwidth,resource management,computer architecture,grid computing,load balancing,parallel processing,resource allocation
Grid computing,Computer science,Network simulation,Real-time computing,Resource allocation,OpenFlow,Software-defined networking,Network management application,Computer network programming,Network management station,Distributed computing
Conference
Citations 
PageRank 
References 
3
0.51
5
Authors
7
Name
Order
Citations
PageRank
Yasuhiro Watashiba1338.84
Susumu Date213328.14
Hirotake Abe38915.09
Kohei Ichikawa46919.79
Hiroaki Yamanaka5459.91
Eiji Kawai614920.83
Haruo Takemura7903161.64