Scheduling for Responsive Grids
Grids are facing the challenge of seamless integration of the Grid power into everyday use. One critical component for this integration is responsiveness, the capacity to support on-demand computing and interactivity. Grid sched uling is involved at two levels in order to provide responsiveness: the...
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| Veröffentlicht in: | Journal of grid computing 2008-03, Vol.6 (1), p.15-27 |
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| container_title | Journal of grid computing |
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| creator | Germain-Renaud, Cécile Loomis, Charles Mościcki, Jakub T. Texier, Romain |
| description | Grids are facing the challenge of seamless integration of the Grid power into everyday use. One critical component for this integration is responsiveness, the capacity to support on-demand computing and interactivity. Grid sched uling is involved at two levels in order to provide responsiveness: the policy level and the implementation level. The main contributions of this paper are as follows. First, we present a detailed analysis of the performance of the EGEE Grid with respect to responsiveness. Second, we examine two user-level schedulers located between the general scheduling layer and the application layer. These are the DIANE (distributed analysis environment) framework, a general-purpose overlay system, and a specialized, embedded scheduler for gPTM3D, an interactive medical image analysis application. Finally, we define and demonstrate a virtualization scheme, which achieves guaranteed turnaround time, schedulability analysis, and provides the basis for differentiated services. Both methods target a brokering-based system organized as a federation of batch-scheduled clusters, and an EGEE implementation is described. |
| doi_str_mv | 10.1007/s10723-007-9086-4 |
| format | Article |
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All Rights Reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-a5ed4df2f0a097d61918fc72dba3de5102f5176f83221619d1bc62663bfed6893</citedby><cites>FETCH-LOGICAL-c431t-a5ed4df2f0a097d61918fc72dba3de5102f5176f83221619d1bc62663bfed6893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10723-007-9086-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10723-007-9086-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://inria.hal.science/inria-00117486$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Germain-Renaud, Cécile</creatorcontrib><creatorcontrib>Loomis, Charles</creatorcontrib><creatorcontrib>Mościcki, Jakub T.</creatorcontrib><creatorcontrib>Texier, Romain</creatorcontrib><title>Scheduling for Responsive Grids</title><title>Journal of grid computing</title><addtitle>J Grid Computing</addtitle><description>Grids are facing the challenge of seamless integration of the Grid power into everyday use. 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| source | SpringerLink Journals - AutoHoldings |
| subjects | Computer Science Critical components Distributed, Parallel, and Cluster Computing Embedded systems Image analysis Management of Computing and Information Systems Medical imaging Processor Architectures Scheduling User Interfaces and Human Computer Interaction |
| title | Scheduling for Responsive Grids |
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