Robust Parallel Job Scheduling Infrastructure for Service-Oriented Grid Computing Systems
Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end,...
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| creator | Abawajy, J. H. |
| description | Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently. |
| doi_str_mv | 10.1007/11424925_132 |
| format | Conference Proceeding |
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H.</creator><contributor>Gervasi, Osvaldo ; Gavrilova, Marina L. ; Taniar, David ; Mun, Youngsong ; Lee, Heow Pueh ; Tan, Chih Jeng Kenneth ; Kumar, Vipin ; Laganá, Antonio</contributor><creatorcontrib>Abawajy, J. H. ; Gervasi, Osvaldo ; Gavrilova, Marina L. ; Taniar, David ; Mun, Youngsong ; Lee, Heow Pueh ; Tan, Chih Jeng Kenneth ; Kumar, Vipin ; Laganá, Antonio</creatorcontrib><description>Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540258639</identifier><identifier>ISBN: 9783540258636</identifier><identifier>ISBN: 9783540258605</identifier><identifier>ISBN: 3540258604</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540323090</identifier><identifier>EISBN: 9783540323099</identifier><identifier>DOI: 10.1007/11424925_132</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Cluster Tree ; Computer science; control theory; systems ; Computer systems and distributed systems. 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H.</creatorcontrib><title>Robust Parallel Job Scheduling Infrastructure for Service-Oriented Grid Computing Systems</title><title>Computational Science and Its Applications – ICCSA 2005</title><description>Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.</description><subject>Applied sciences</subject><subject>Cluster Tree</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Exact sciences and technology</subject><subject>Grid Computing</subject><subject>Grid Schedule</subject><subject>Local Scheduler</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Report Message</subject><subject>Scheduling, sequencing</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540258639</isbn><isbn>9783540258636</isbn><isbn>9783540258605</isbn><isbn>3540258604</isbn><isbn>3540323090</isbn><isbn>9783540323099</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNULtOwzAUNS-JUrrxAV5YkALXryQeUQWlqFIRgYEpcpzrEkiTyE6Q-vekKgN3OcN56J5DyBWDWwaQ3DEmudRc5UzwI3IhlATBBWg4JhMWMxYJIfXJgeAqjYU-JRMQwCOdSHFOZiF8wXiCxamQE_Lx2hZD6OmL8aausabPbUEz-4nlUFfNhi4b503o_WD7wSN1racZ-p_KYrT2FTY9lnThq5LO22039HtLtgs9bsMlOXOmDjj7wyl5f3x4mz9Fq_ViOb9fRR3n0EcpKxALcLoARABTOgegE5UanYB1pXWuZEpJp5lMLS8UGkhjxFLhWAGkmJLrQ25ngjX1-G5jq5B3vtoav8tZrEfnWHZKbg66MFLNBn1etO13yBnk-2Xz_8uKXyW9Z18</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Abawajy, J. 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Management science</topic><topic>Report Message</topic><topic>Scheduling, sequencing</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abawajy, J. H.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abawajy, J. H.</au><au>Gervasi, Osvaldo</au><au>Gavrilova, Marina L.</au><au>Taniar, David</au><au>Mun, Youngsong</au><au>Lee, Heow Pueh</au><au>Tan, Chih Jeng Kenneth</au><au>Kumar, Vipin</au><au>Laganá, Antonio</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Robust Parallel Job Scheduling Infrastructure for Service-Oriented Grid Computing Systems</atitle><btitle>Computational Science and Its Applications – ICCSA 2005</btitle><date>2005</date><risdate>2005</risdate><spage>1272</spage><epage>1281</epage><pages>1272-1281</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540258639</isbn><isbn>9783540258636</isbn><isbn>9783540258605</isbn><isbn>3540258604</isbn><eisbn>3540323090</eisbn><eisbn>9783540323099</eisbn><abstract>Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11424925_132</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Computational Science and Its Applications – ICCSA 2005, 2005, p.1272-1281 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16991468 |
| source | Springer Books |
| subjects | Applied sciences Cluster Tree Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology Grid Computing Grid Schedule Local Scheduler Operational research and scientific management Operational research. Management science Report Message Scheduling, sequencing Software |
| title | Robust Parallel Job Scheduling Infrastructure for Service-Oriented Grid Computing Systems |
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