Deployment of a Grid-based Medical Imaging Application
The MammoGrid project has deployed its Service-Oriented Architecture (SOA)-based Grid application in a real environment comprising actual participating hospitals. The resultant setup is currently being exploited to conduct rigorous in-house tests in the first phase before handing over the setup to t...
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| creator | Amendolia, S R Estrella, F del Frate, C Galvez, J Hassan, W Hauer, T Manset, D McClatchey, R Odeh, M Rogulin, D Solomonides, T Warren, R |
| description | The MammoGrid project has deployed its Service-Oriented Architecture
(SOA)-based Grid application in a real environment comprising actual
participating hospitals. The resultant setup is currently being exploited to
conduct rigorous in-house tests in the first phase before handing over the
setup to the actual clinicians to get their feedback. This paper elaborates the
deployment details and the experiences acquired during this phase of the
project. Finally the strategy regarding migration to an upcoming middleware
from EGEE project will be described. This paper concludes by highlighting some
of the potential areas of future work. |
| doi_str_mv | 10.48550/arxiv.cs/0412035 |
| format | Article |
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(SOA)-based Grid application in a real environment comprising actual
participating hospitals. The resultant setup is currently being exploited to
conduct rigorous in-house tests in the first phase before handing over the
setup to the actual clinicians to get their feedback. This paper elaborates the
deployment details and the experiences acquired during this phase of the
project. Finally the strategy regarding migration to an upcoming middleware
from EGEE project will be described. This paper concludes by highlighting some
of the potential areas of future work.</description><identifier>DOI: 10.48550/arxiv.cs/0412035</identifier><language>eng</language><subject>Computer Science - Databases ; Computer Science - Distributed, Parallel, and Cluster Computing</subject><creationdate>2004-12</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/cs/0412035$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.cs/0412035$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Amendolia, S R</creatorcontrib><creatorcontrib>Estrella, F</creatorcontrib><creatorcontrib>del Frate, C</creatorcontrib><creatorcontrib>Galvez, J</creatorcontrib><creatorcontrib>Hassan, W</creatorcontrib><creatorcontrib>Hauer, T</creatorcontrib><creatorcontrib>Manset, D</creatorcontrib><creatorcontrib>McClatchey, R</creatorcontrib><creatorcontrib>Odeh, M</creatorcontrib><creatorcontrib>Rogulin, D</creatorcontrib><creatorcontrib>Solomonides, T</creatorcontrib><creatorcontrib>Warren, R</creatorcontrib><title>Deployment of a Grid-based Medical Imaging Application</title><description>The MammoGrid project has deployed its Service-Oriented Architecture
(SOA)-based Grid application in a real environment comprising actual
participating hospitals. The resultant setup is currently being exploited to
conduct rigorous in-house tests in the first phase before handing over the
setup to the actual clinicians to get their feedback. This paper elaborates the
deployment details and the experiences acquired during this phase of the
project. Finally the strategy regarding migration to an upcoming middleware
from EGEE project will be described. This paper concludes by highlighting some
of the potential areas of future work.</description><subject>Computer Science - Databases</subject><subject>Computer Science - Distributed, Parallel, and Cluster Computing</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj7lOAzEURd1QoMAHUOEfmMTL81ZGAUKkIJr0o2c_O7I0m2YiRP4eBKmudIqjcxl7kmIN3hixwfm7fq3TshEgldDmntmXPHXjtc_DhY-FI9_PlZqISyb-kakm7Pihx3Mdznw7Td0vuNRxeGB3BbslP952xU5vr6fde3P83B9222OD1pmmaLRKBhG9Cc4IgpjIayVd9B5ChgIpF61LBE-ajAVwJIILSllbJGW9Ys__2r_wdpprj_O1TUt7O6B_AL9zP8E</recordid><startdate>20041208</startdate><enddate>20041208</enddate><creator>Amendolia, S R</creator><creator>Estrella, F</creator><creator>del Frate, C</creator><creator>Galvez, J</creator><creator>Hassan, W</creator><creator>Hauer, T</creator><creator>Manset, D</creator><creator>McClatchey, R</creator><creator>Odeh, M</creator><creator>Rogulin, D</creator><creator>Solomonides, T</creator><creator>Warren, R</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20041208</creationdate><title>Deployment of a Grid-based Medical Imaging Application</title><author>Amendolia, S R ; Estrella, F ; del Frate, C ; Galvez, J ; Hassan, W ; Hauer, T ; Manset, D ; McClatchey, R ; Odeh, M ; Rogulin, D ; Solomonides, T ; Warren, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a675-f3a62190b859750d4bcd83217b8849e4f4cef33fb48d3d56447d09792266f1de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Computer Science - Databases</topic><topic>Computer Science - Distributed, Parallel, and Cluster Computing</topic><toplevel>online_resources</toplevel><creatorcontrib>Amendolia, S R</creatorcontrib><creatorcontrib>Estrella, F</creatorcontrib><creatorcontrib>del Frate, C</creatorcontrib><creatorcontrib>Galvez, J</creatorcontrib><creatorcontrib>Hassan, W</creatorcontrib><creatorcontrib>Hauer, T</creatorcontrib><creatorcontrib>Manset, D</creatorcontrib><creatorcontrib>McClatchey, R</creatorcontrib><creatorcontrib>Odeh, M</creatorcontrib><creatorcontrib>Rogulin, D</creatorcontrib><creatorcontrib>Solomonides, T</creatorcontrib><creatorcontrib>Warren, R</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Amendolia, S R</au><au>Estrella, F</au><au>del Frate, C</au><au>Galvez, J</au><au>Hassan, W</au><au>Hauer, T</au><au>Manset, D</au><au>McClatchey, R</au><au>Odeh, M</au><au>Rogulin, D</au><au>Solomonides, T</au><au>Warren, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deployment of a Grid-based Medical Imaging Application</atitle><date>2004-12-08</date><risdate>2004</risdate><abstract>The MammoGrid project has deployed its Service-Oriented Architecture
(SOA)-based Grid application in a real environment comprising actual
participating hospitals. The resultant setup is currently being exploited to
conduct rigorous in-house tests in the first phase before handing over the
setup to the actual clinicians to get their feedback. This paper elaborates the
deployment details and the experiences acquired during this phase of the
project. Finally the strategy regarding migration to an upcoming middleware
from EGEE project will be described. This paper concludes by highlighting some
of the potential areas of future work.</abstract><doi>10.48550/arxiv.cs/0412035</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Databases Computer Science - Distributed, Parallel, and Cluster Computing |
| title | Deployment of a Grid-based Medical Imaging Application |
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