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dc.contributor.editorda Rosa Righi, Rodrigo
dc.date.accessioned2021-04-20T16:18:41Z
dc.date.available2021-04-20T16:18:41Z
dc.date.issued2020
dc.identifierONIX_20210420_9781789850543_2938
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67578
dc.description.abstractScheduling is defined as the process of assigning operations to resources over time to optimize a criterion. Problems with scheduling comprise both a set of resources and a set of a consumers. As such, managing scheduling problems involves managing the use of resources by several consumers. This book presents some new applications and trends related to task and data scheduling. In particular, chapters focus on data science, big data, high-performance computing, and Cloud computing environments. In addition, this book presents novel algorithms and literature reviews that will guide current and new researchers who work with load balancing, scheduling, and allocation problems.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineeringen_US
dc.subject.otherAlgorithms & data structures
dc.titleScheduling Problems
dc.title.alternativeNew Applications and Trends
dc.typebook
oapen.identifier.doi10.5772/intechopen.80171
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781789850543
oapen.relation.isbn9781789850536
oapen.relation.isbn9781839621697
oapen.imprintIntechOpen
oapen.pages154


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