LEADER 04342nam 22007215 450 001 996466468003316 005 20230222154633.0 010 $a3-319-61756-7 024 7 $a10.1007/978-3-319-61756-5 035 $a(CKB)4340000000061610 035 $a(DE-He213)978-3-319-61756-5 035 $a(MiAaPQ)EBC6285021 035 $a(MiAaPQ)EBC5595755 035 $a(Au-PeEL)EBL5595755 035 $a(OCoLC)994219297 035 $a(PPN)20366860X 035 $a(EXLCZ)994340000000061610 100 $a20170711d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aJob Scheduling Strategies for Parallel Processing$b[electronic resource] $e19th and 20th International Workshops, JSSPP 2015, Hyderabad, India, May 26, 2015 and JSSPP 2016, Chicago, IL, USA, May 27, 2016, Revised Selected Papers /$fedited by Narayan Desai, Walfredo Cirne 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (X, 279 p. 114 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10353 311 $a3-319-61755-9 320 $aIncludes bibliographical references and index. 327 $aParallel scheduling challenges raising at multiple levels of abstractions -- node level parallelism -- Minimization of energy consumption in task migration within a many-core chip; -- Task replication in real-time scheduling context -- Data-driven approach to schedule GPU load -- The use of lock-free data structures in OS scheduler -- The influence between user behaviour (think time, more precisely) and parallel scheduling -- Evalix, a predictor for job resource consumption -- Sophisticated and realistic simulation -- Space-filling curves leading to better scheduling of large-scale computers -- Discussion of real-life production experiences. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the 19th and 20th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2015 and 2016, held respectively in Hyderabad, India, on May 26, 2015 and in Chicago, IL, USA, on May 27, 2016. The 14 revised full papers presented (7 papers in 2015 and 7 papers in 2016) were carefully reviewed and selected from 28 submissions (14 in 2015 and 14 in 2016). The papers cover the following topics: parallel scheduling raising challenges multiple levels of abstractions; node level parallelism; minimization of energy consumption in task migration within a many-core chip; task replication in real-time scheduling context; data-driven approach to schedule GPU load; the use of lock-free data structures in OS scheduler; the influence between user behaviour (think time, more precisely) and parallel scheduling; Evalix, a predictor for job resource consumption; sophisticated and realistic simulation; space-filling curves leading to better scheduling of large-scale computers; discussion of real-life production experiences. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10353 606 $aSoftware engineering 606 $aComputer networks 606 $aAlgorithms 606 $aApplication software 606 $aComputer simulation 606 $aSoftware Engineering 606 $aComputer Communication Networks 606 $aAlgorithms 606 $aComputer and Information Systems Applications 606 $aComputer Modelling 615 0$aSoftware engineering. 615 0$aComputer networks. 615 0$aAlgorithms. 615 0$aApplication software. 615 0$aComputer simulation. 615 14$aSoftware Engineering. 615 24$aComputer Communication Networks. 615 24$aAlgorithms. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Modelling. 676 $a004.24 702 $aDesai$b Narayan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCirne$b Walfredo$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466468003316 996 $aJob Scheduling Strategies for Parallel Processing$92569128 997 $aUNISA