Resource Re-allocation for Data Inter-dependent Continuous Tasks in Grids

Valeriia Haberland, Simon Miles, Michael Luck

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

1 Citation (Scopus)


Many researchers focus on resource intensive tasks which have to be run continuously over long periods. A Grid may offer resources for these tasks, but they are contested by multiple client agents. Hence, a Grid might be unwilling to allocate its resources for long terms, leading to tasks’ interruptions. This issue becomes more substantial when tasks are data inter-dependent, where one interrupted task may cause an interruption of a bundle of other tasks. In this paper, we discuss a new resource re-allocation strategy for a client, in which resources are re-allocated between the client tasks in order to avoid prolonged interruptions. Those re-allocations are decided by a client agent, but they should be agreed with a Grid and can be performed only by a Grid. Our strategy has been tested within different Grid environments and noticeably improves client utilities in almost all cases.
Original languageEnglish
Title of host publicationMulti-Agent Systems and Agreement Technologies
EditorsN. Criado Pacheco, C. Carrascosa, N. Osman, V. Julián Inglada
PublisherSpringer, Cham
ISBN (Electronic)978-3-319-59294-7
ISBN (Print)978-3-319-59293-0
Publication statusPublished - 23 Jun 2017

Publication series

NameLecture Notes in Computer Science


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