Resource Allocation Mechanism with New Models for Grid Environment
Resource allocation is playing a vital role in grid environment because of the dynamic and heterogeneous nature of grid resources. Literature offers numerous studies and techniques to solve the grid resource allocation problem. Some of the drawbacks occur during grid resource allocation are low util...
Gespeichert in:
| Veröffentlicht in: | International journal of grid and high performance computing 2013-04, Vol.5 (2), p.1-26 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 26 |
|---|---|
| container_issue | 2 |
| container_start_page | 1 |
| container_title | International journal of grid and high performance computing |
| container_volume | 5 |
| creator | Sathish, Kuppani Reddy, A Rama Mohan |
| description | Resource allocation is playing a vital role in grid environment because of the dynamic and heterogeneous nature of grid resources. Literature offers numerous studies and techniques to solve the grid resource allocation problem. Some of the drawbacks occur during grid resource allocation are low utilization, less economic reliability and increased waiting time of the jobs. These problems were occurred because of the inconsiderable level in the code of allocating right resources to right jobs, poor economic model and lack of provision to minimize the waiting time of jobs to get their resources. So, all these drawbacks need to be solved in any upcoming resource allocation technique. Hence in this paper, the efficiency of the resource allocation mechanism is improved by proposing two allocation models. Both the allocation models have used the Genetic Algorithm to overcome all the aforesaid drawbacks. However, one of the allocation models includes penalty function and the other does not consider the economic reliability. Both the models are implemented and experimented with different number of jobs and resources. The proposed models are compared with the conventional resource allocation models in terms of utilization, cost factor, failure rate and make span. |
| doi_str_mv | 10.4018/jghpc.2013040101 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1429917189</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A760411047</galeid><sourcerecordid>A760411047</sourcerecordid><originalsourceid>FETCH-LOGICAL-c475t-280889462e92d62cfd306174d4b019beb87de528d855cc91bd140ee739ac2b0f3</originalsourceid><addsrcrecordid>eNp1kd9rFDEQxxdRsFbffVwQwQevTrLZTfJ4lrYK_QGizyGbzO7l2EvOzK6l_333vHIHRV-SDHxm-E4-RfGewZkApr6s-9XWnXFgFcw1sBfFCdOVWgBv5MvDu9avizdEa4BGcKZOiq8_kNKUHZbLYUjOjiHF8gbdysZAm_I-jKvyFu_Lm-RxoLJLubzKwZcX8U_IKW4wjm-LV50dCN893afFr8uLn-ffFtd3V9_Pl9cLJ2Q9LrgCpbRoOGruG-46X0HDpPCiBaZbbJX0WHPlVV07p1nrmQBEWWnreAtddVp82s_d5vR7QhrNJpDDYbAR00SGCa41k0zpGf3wDF3PS8Y5neG6knzevdpRn_dUbwc07UQhIs0HhX41Um8nIrOUDQjGQMgZhz3uciLK2JltDhubHwwDs3Ng_jowRwdzy8enHJacHbpsowt06OOyUVyo-rha6MMx6vNxZut3v3D5D3Rn0BwNmoPB_0Wrq0cUWasK</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2937242139</pqid></control><display><type>article</type><title>Resource Allocation Mechanism with New Models for Grid Environment</title><source>Alma/SFX Local Collection</source><source>ProQuest Central</source><creator>Sathish, Kuppani ; Reddy, A Rama Mohan</creator><creatorcontrib>Sathish, Kuppani ; Reddy, A Rama Mohan</creatorcontrib><description>Resource allocation is playing a vital role in grid environment because of the dynamic and heterogeneous nature of grid resources. Literature offers numerous studies and techniques to solve the grid resource allocation problem. Some of the drawbacks occur during grid resource allocation are low utilization, less economic reliability and increased waiting time of the jobs. These problems were occurred because of the inconsiderable level in the code of allocating right resources to right jobs, poor economic model and lack of provision to minimize the waiting time of jobs to get their resources. So, all these drawbacks need to be solved in any upcoming resource allocation technique. Hence in this paper, the efficiency of the resource allocation mechanism is improved by proposing two allocation models. Both the allocation models have used the Genetic Algorithm to overcome all the aforesaid drawbacks. However, one of the allocation models includes penalty function and the other does not consider the economic reliability. Both the models are implemented and experimented with different number of jobs and resources. The proposed models are compared with the conventional resource allocation models in terms of utilization, cost factor, failure rate and make span.</description><identifier>ISSN: 1938-0259</identifier><identifier>EISSN: 1938-0267</identifier><identifier>DOI: 10.4018/jghpc.2013040101</identifier><language>eng</language><publisher>Hershey, PA: IGI Publishing</publisher><subject>Algorithms ; Allocations ; Analysis ; Applied sciences ; Computer science; control theory; systems ; Computer systems and distributed systems. User interface ; Cost engineering ; Dynamics ; Economic analysis ; Economic models ; Economics ; Employment ; Environment models ; Exact sciences and technology ; Failure rates ; Genetic algorithms ; Mathematical models ; Penalty function ; Reliability ; Resource allocation ; Software ; Utilization</subject><ispartof>International journal of grid and high performance computing, 2013-04, Vol.5 (2), p.1-26</ispartof><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2013 IGI Global</rights><rights>Copyright © 2013, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c475t-280889462e92d62cfd306174d4b019beb87de528d855cc91bd140ee739ac2b0f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2937242139?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,33722,43781</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27682485$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Sathish, Kuppani</creatorcontrib><creatorcontrib>Reddy, A Rama Mohan</creatorcontrib><title>Resource Allocation Mechanism with New Models for Grid Environment</title><title>International journal of grid and high performance computing</title><description>Resource allocation is playing a vital role in grid environment because of the dynamic and heterogeneous nature of grid resources. Literature offers numerous studies and techniques to solve the grid resource allocation problem. Some of the drawbacks occur during grid resource allocation are low utilization, less economic reliability and increased waiting time of the jobs. These problems were occurred because of the inconsiderable level in the code of allocating right resources to right jobs, poor economic model and lack of provision to minimize the waiting time of jobs to get their resources. So, all these drawbacks need to be solved in any upcoming resource allocation technique. Hence in this paper, the efficiency of the resource allocation mechanism is improved by proposing two allocation models. Both the allocation models have used the Genetic Algorithm to overcome all the aforesaid drawbacks. However, one of the allocation models includes penalty function and the other does not consider the economic reliability. Both the models are implemented and experimented with different number of jobs and resources. The proposed models are compared with the conventional resource allocation models in terms of utilization, cost factor, failure rate and make span.</description><subject>Algorithms</subject><subject>Allocations</subject><subject>Analysis</subject><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Cost engineering</subject><subject>Dynamics</subject><subject>Economic analysis</subject><subject>Economic models</subject><subject>Economics</subject><subject>Employment</subject><subject>Environment models</subject><subject>Exact sciences and technology</subject><subject>Failure rates</subject><subject>Genetic algorithms</subject><subject>Mathematical models</subject><subject>Penalty function</subject><subject>Reliability</subject><subject>Resource allocation</subject><subject>Software</subject><subject>Utilization</subject><issn>1938-0259</issn><issn>1938-0267</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kd9rFDEQxxdRsFbffVwQwQevTrLZTfJ4lrYK_QGizyGbzO7l2EvOzK6l_333vHIHRV-SDHxm-E4-RfGewZkApr6s-9XWnXFgFcw1sBfFCdOVWgBv5MvDu9avizdEa4BGcKZOiq8_kNKUHZbLYUjOjiHF8gbdysZAm_I-jKvyFu_Lm-RxoLJLubzKwZcX8U_IKW4wjm-LV50dCN893afFr8uLn-ffFtd3V9_Pl9cLJ2Q9LrgCpbRoOGruG-46X0HDpPCiBaZbbJX0WHPlVV07p1nrmQBEWWnreAtddVp82s_d5vR7QhrNJpDDYbAR00SGCa41k0zpGf3wDF3PS8Y5neG6knzevdpRn_dUbwc07UQhIs0HhX41Um8nIrOUDQjGQMgZhz3uciLK2JltDhubHwwDs3Ng_jowRwdzy8enHJacHbpsowt06OOyUVyo-rha6MMx6vNxZut3v3D5D3Rn0BwNmoPB_0Wrq0cUWasK</recordid><startdate>20130401</startdate><enddate>20130401</enddate><creator>Sathish, Kuppani</creator><creator>Reddy, A Rama Mohan</creator><general>IGI Publishing</general><general>IGI Global</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>7SC</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P62</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20130401</creationdate><title>Resource Allocation Mechanism with New Models for Grid Environment</title><author>Sathish, Kuppani ; Reddy, A Rama Mohan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-280889462e92d62cfd306174d4b019beb87de528d855cc91bd140ee739ac2b0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Allocations</topic><topic>Analysis</topic><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Cost engineering</topic><topic>Dynamics</topic><topic>Economic analysis</topic><topic>Economic models</topic><topic>Economics</topic><topic>Employment</topic><topic>Environment models</topic><topic>Exact sciences and technology</topic><topic>Failure rates</topic><topic>Genetic algorithms</topic><topic>Mathematical models</topic><topic>Penalty function</topic><topic>Reliability</topic><topic>Resource allocation</topic><topic>Software</topic><topic>Utilization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sathish, Kuppani</creatorcontrib><creatorcontrib>Reddy, A Rama Mohan</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of grid and high performance computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sathish, Kuppani</au><au>Reddy, A Rama Mohan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resource Allocation Mechanism with New Models for Grid Environment</atitle><jtitle>International journal of grid and high performance computing</jtitle><date>2013-04-01</date><risdate>2013</risdate><volume>5</volume><issue>2</issue><spage>1</spage><epage>26</epage><pages>1-26</pages><issn>1938-0259</issn><eissn>1938-0267</eissn><abstract>Resource allocation is playing a vital role in grid environment because of the dynamic and heterogeneous nature of grid resources. Literature offers numerous studies and techniques to solve the grid resource allocation problem. Some of the drawbacks occur during grid resource allocation are low utilization, less economic reliability and increased waiting time of the jobs. These problems were occurred because of the inconsiderable level in the code of allocating right resources to right jobs, poor economic model and lack of provision to minimize the waiting time of jobs to get their resources. So, all these drawbacks need to be solved in any upcoming resource allocation technique. Hence in this paper, the efficiency of the resource allocation mechanism is improved by proposing two allocation models. Both the allocation models have used the Genetic Algorithm to overcome all the aforesaid drawbacks. However, one of the allocation models includes penalty function and the other does not consider the economic reliability. Both the models are implemented and experimented with different number of jobs and resources. The proposed models are compared with the conventional resource allocation models in terms of utilization, cost factor, failure rate and make span.</abstract><cop>Hershey, PA</cop><pub>IGI Publishing</pub><doi>10.4018/jghpc.2013040101</doi><tpages>26</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1938-0259 |
| ispartof | International journal of grid and high performance computing, 2013-04, Vol.5 (2), p.1-26 |
| issn | 1938-0259 1938-0267 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1429917189 |
| source | Alma/SFX Local Collection; ProQuest Central |
| subjects | Algorithms Allocations Analysis Applied sciences Computer science control theory systems Computer systems and distributed systems. User interface Cost engineering Dynamics Economic analysis Economic models Economics Employment Environment models Exact sciences and technology Failure rates Genetic algorithms Mathematical models Penalty function Reliability Resource allocation Software Utilization |
| title | Resource Allocation Mechanism with New Models for Grid Environment |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-16T06%3A04%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Resource%20Allocation%20Mechanism%20with%20New%20Models%20for%20Grid%20Environment&rft.jtitle=International%20journal%20of%20grid%20and%20high%20performance%20computing&rft.au=Sathish,%20Kuppani&rft.date=2013-04-01&rft.volume=5&rft.issue=2&rft.spage=1&rft.epage=26&rft.pages=1-26&rft.issn=1938-0259&rft.eissn=1938-0267&rft_id=info:doi/10.4018/jghpc.2013040101&rft_dat=%3Cgale_proqu%3EA760411047%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2937242139&rft_id=info:pmid/&rft_galeid=A760411047&rfr_iscdi=true |