HGRID: Fault Tolerant, Log2N Resource Management for Grids
Grid resource discovery service is currently a very important focus of research. We propose a scheme that presents essential characteristics for efficient, self-configuring and fault-tolerant resource discovery and is able to handle dynamic attributes, such as memory capacity. Our approach consists...
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| creator | Gallardo, A. Sanjeevan, K. de Cerio, L.D. |
| description | Grid resource discovery service is currently a very important focus of research. We propose a scheme that presents essential characteristics for efficient, self-configuring and fault-tolerant resource discovery and is able to handle dynamic attributes, such as memory capacity. Our approach consists of an overlay network with a hypercube topology connecting the grid nodes and a scalable, fault-tolerant, self-configuring search algorithm. By design, the algorithm improves the probability of reaching all working nodes in the system even in the presence of failures (inaccessible, crashed or heavy loaded nodes). We analyze the static resilience of the presented approach, that is to say, how well the algorithm is able to find resources without having to update the routing tables. The results show that the presented approach has a high static resilience. |
| doi_str_mv | 10.1109/ICNS.2009.92 |
| format | Conference Proceeding |
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The results show that the presented approach has a high static resilience.</description><identifier>ISBN: 9781424436880</identifier><identifier>ISBN: 1424436885</identifier><identifier>EISBN: 0769535860</identifier><identifier>EISBN: 9780769535869</identifier><identifier>DOI: 10.1109/ICNS.2009.92</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer networks ; Fault tolerance ; fault-tolerant ; Geographic Information Systems ; Grid computing ; grid resource discovery ; hypercube overlay network ; Hypercubes ; Network topology ; Peer to peer computing ; Resilience ; Resource management ; Routing ; static resilience</subject><ispartof>2009 Fifth International Conference on Networking and Services, 2009, p.511-517</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4976811$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4976811$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gallardo, A.</creatorcontrib><creatorcontrib>Sanjeevan, K.</creatorcontrib><creatorcontrib>de Cerio, L.D.</creatorcontrib><title>HGRID: Fault Tolerant, Log2N Resource Management for Grids</title><title>2009 Fifth International Conference on Networking and Services</title><addtitle>ICNS</addtitle><description>Grid resource discovery service is currently a very important focus of research. We propose a scheme that presents essential characteristics for efficient, self-configuring and fault-tolerant resource discovery and is able to handle dynamic attributes, such as memory capacity. Our approach consists of an overlay network with a hypercube topology connecting the grid nodes and a scalable, fault-tolerant, self-configuring search algorithm. By design, the algorithm improves the probability of reaching all working nodes in the system even in the presence of failures (inaccessible, crashed or heavy loaded nodes). We analyze the static resilience of the presented approach, that is to say, how well the algorithm is able to find resources without having to update the routing tables. The results show that the presented approach has a high static resilience.</description><subject>Computer networks</subject><subject>Fault tolerance</subject><subject>fault-tolerant</subject><subject>Geographic Information Systems</subject><subject>Grid computing</subject><subject>grid resource discovery</subject><subject>hypercube overlay network</subject><subject>Hypercubes</subject><subject>Network topology</subject><subject>Peer to peer computing</subject><subject>Resilience</subject><subject>Resource management</subject><subject>Routing</subject><subject>static resilience</subject><isbn>9781424436880</isbn><isbn>1424436885</isbn><isbn>0769535860</isbn><isbn>9780769535869</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjrFOwzAURY0QElCysbH4A0jxcxzHrxsKNI0UilTKXDnOcxWUJshJB_6eSHCWuxxdHcbuQSwBBD6V-fZjKYXAJcoLdisyjWmSGi0uWYSZASWVSrQx4ppF4_glZtQsCLxhq02xK19WfG3P3cT3Q0fB9tMjr4aj3PIdjcM5OOJvtrdHOlE_cT8EXoS2Ge_YlbfdSNH_Ltjn-nWfb-LqvSjz5ypuIUun2DoBDTSEifcaZU1Njc6bxCu0JB0CSQ1O6zkqBUu1NY5qrSw1aabcHL5gD3-_LREdvkN7suHnoDDTBiD5BdO4RoY</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Gallardo, A.</creator><creator>Sanjeevan, K.</creator><creator>de Cerio, L.D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200904</creationdate><title>HGRID: Fault Tolerant, Log2N Resource Management for Grids</title><author>Gallardo, A. ; Sanjeevan, K. ; de Cerio, L.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ac01d1de93ff692bedb9cf83f49ae2c91e261c6600051aeba8ceb64aed574c443</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Computer networks</topic><topic>Fault tolerance</topic><topic>fault-tolerant</topic><topic>Geographic Information Systems</topic><topic>Grid computing</topic><topic>grid resource discovery</topic><topic>hypercube overlay network</topic><topic>Hypercubes</topic><topic>Network topology</topic><topic>Peer to peer computing</topic><topic>Resilience</topic><topic>Resource management</topic><topic>Routing</topic><topic>static resilience</topic><toplevel>online_resources</toplevel><creatorcontrib>Gallardo, A.</creatorcontrib><creatorcontrib>Sanjeevan, K.</creatorcontrib><creatorcontrib>de Cerio, L.D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gallardo, A.</au><au>Sanjeevan, K.</au><au>de Cerio, L.D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>HGRID: Fault Tolerant, Log2N Resource Management for Grids</atitle><btitle>2009 Fifth International Conference on Networking and Services</btitle><stitle>ICNS</stitle><date>2009-04</date><risdate>2009</risdate><spage>511</spage><epage>517</epage><pages>511-517</pages><isbn>9781424436880</isbn><isbn>1424436885</isbn><eisbn>0769535860</eisbn><eisbn>9780769535869</eisbn><abstract>Grid resource discovery service is currently a very important focus of research. We propose a scheme that presents essential characteristics for efficient, self-configuring and fault-tolerant resource discovery and is able to handle dynamic attributes, such as memory capacity. Our approach consists of an overlay network with a hypercube topology connecting the grid nodes and a scalable, fault-tolerant, self-configuring search algorithm. By design, the algorithm improves the probability of reaching all working nodes in the system even in the presence of failures (inaccessible, crashed or heavy loaded nodes). We analyze the static resilience of the presented approach, that is to say, how well the algorithm is able to find resources without having to update the routing tables. The results show that the presented approach has a high static resilience.</abstract><pub>IEEE</pub><doi>10.1109/ICNS.2009.92</doi><tpages>7</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer networks Fault tolerance fault-tolerant Geographic Information Systems Grid computing grid resource discovery hypercube overlay network Hypercubes Network topology Peer to peer computing Resilience Resource management Routing static resilience |
| title | HGRID: Fault Tolerant, Log2N Resource Management for Grids |
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