E-health Framework Based on Autonomic Cloud Computing
Although cloud computing applies the self-acting principles from autonomic computing, it's possible to achieve even greater synergy. In this paper definitions of basic terms concerning cloud computing and autonomic computing are given. A new model is presented which incorporates autonomic princ...
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creator | Martinovic, G. Zoric, B. |
description | Although cloud computing applies the self-acting principles from autonomic computing, it's possible to achieve even greater synergy. In this paper definitions of basic terms concerning cloud computing and autonomic computing are given. A new model is presented which incorporates autonomic principles into cloud computing, and that model is later viewed from the aspect of its application to e-health. An overview of the current research state covering specific problems and their potential solution through the use of cloud computing and autonomy is also given. Based on the proposed model, the application of autonomic paradigm to e-health is considered. |
doi_str_mv | 10.1109/CGC.2012.36 |
format | Conference Proceeding |
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In this paper definitions of basic terms concerning cloud computing and autonomic computing are given. A new model is presented which incorporates autonomic principles into cloud computing, and that model is later viewed from the aspect of its application to e-health. An overview of the current research state covering specific problems and their potential solution through the use of cloud computing and autonomy is also given. Based on the proposed model, the application of autonomic paradigm to e-health is considered.</description><subject>Adaptation models</subject><subject>autonomic computing</subject><subject>Cloud computing</subject><subject>Computational modeling</subject><subject>Computers</subject><subject>e-health</subject><subject>Knowledge based systems</subject><subject>Security</subject><subject>Sugar</subject><isbn>1467330272</isbn><isbn>9781467330275</isbn><isbn>0769548644</isbn><isbn>9780769548647</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjLtOwzAUQI0QErR0YmTxDyTca8ePjMVqC1IlFpgr27mhgSSu8hDi76lEp3OWcxh7QMgRoXxyO5cLQJFLfcUWYHSpCquL4potsNBGShBG3LLVOH4BwDnRKMUdU5vsSL6djnw7-I5-0vDNn_1IFU89X89T6lPXRO7aNFfcpe40T03_ec9uat-OtLpwyT62m3f3ku3fdq9uvc8aNGrKakDSPqoovFIgLRlVBU-1IRGtNsaGOgRzFiiNDCIapBij0NGjr8GjXLLH_29DRIfT0HR--D1oaYUVIP8Ay8BEdw</recordid><startdate>201211</startdate><enddate>201211</enddate><creator>Martinovic, G.</creator><creator>Zoric, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201211</creationdate><title>E-health Framework Based on Autonomic Cloud Computing</title><author>Martinovic, G. ; Zoric, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f01e6ac5c2a55038e75dbaef7e2c86778bfbb76770973b2c71eccc26ca1af0a13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptation models</topic><topic>autonomic computing</topic><topic>Cloud computing</topic><topic>Computational modeling</topic><topic>Computers</topic><topic>e-health</topic><topic>Knowledge based systems</topic><topic>Security</topic><topic>Sugar</topic><toplevel>online_resources</toplevel><creatorcontrib>Martinovic, G.</creatorcontrib><creatorcontrib>Zoric, B.</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>Martinovic, G.</au><au>Zoric, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>E-health Framework Based on Autonomic Cloud Computing</atitle><btitle>2012 Second International Conference on Cloud and Green Computing</btitle><stitle>cgc</stitle><date>2012-11</date><risdate>2012</risdate><spage>214</spage><epage>218</epage><pages>214-218</pages><isbn>1467330272</isbn><isbn>9781467330275</isbn><eisbn>0769548644</eisbn><eisbn>9780769548647</eisbn><coden>IEEPAD</coden><abstract>Although cloud computing applies the self-acting principles from autonomic computing, it's possible to achieve even greater synergy. In this paper definitions of basic terms concerning cloud computing and autonomic computing are given. A new model is presented which incorporates autonomic principles into cloud computing, and that model is later viewed from the aspect of its application to e-health. An overview of the current research state covering specific problems and their potential solution through the use of cloud computing and autonomy is also given. Based on the proposed model, the application of autonomic paradigm to e-health is considered.</abstract><pub>IEEE</pub><doi>10.1109/CGC.2012.36</doi><tpages>5</tpages></addata></record> |
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language | eng |
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subjects | Adaptation models autonomic computing Cloud computing Computational modeling Computers e-health Knowledge based systems Security Sugar |
title | E-health Framework Based on Autonomic Cloud Computing |
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