LEADER 01812nam 22003971 450 001 9910688419303321 005 20230629182848.0 035 $a(CKB)5400000000040793 035 $a(NjHacI)995400000000040793 035 $a(Perlego)2026514 035 $a(EXLCZ)995400000000040793 100 $a20230629d2020 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aScheduling problems $enew applications and trends /$fedited by Rodrigo da Rosa Righi 210 1$aLondon :$cIntechOpen,$d[2020] 210 4$dİ2020 215 $a1 online resource (154 pages) $cillustrations 311 08$a9781839621697 311 08$a1839621699 320 $aIncludes bibliographical references. 330 $aScheduling 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. 517 $aScheduling Problems 606 $aComputer scheduling 615 0$aComputer scheduling. 676 $a658.53 702 $aRighi$b Rodrigo da Rosa 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910688419303321 996 $aScheduling Problems$92959798 997 $aUNINA