LEADER 04096nam 22007455 450 001 9910444451203321 005 20230221142633.0 010 $a3-319-77398-4 024 7 $a10.1007/978-3-319-77398-8 035 $a(CKB)4100000002744380 035 $a(DE-He213)978-3-319-77398-8 035 $a(MiAaPQ)EBC6284209 035 $a(MiAaPQ)EBC5596400 035 $a(Au-PeEL)EBL5596400 035 $a(OCoLC)1029604609 035 $a(PPN)225550733 035 $a(EXLCZ)994100000002744380 100 $a20180227d2018 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] $e21st International Workshop, JSSPP 2017, Orlando, FL, USA, June 2, 2017, Revised Selected Papers /$fedited by Dalibor Klusá?ek, Walfredo Cirne, Narayan Desai 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (IX, 189 p. 91 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10773 311 $a3-319-77397-6 327 $aExperience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne -- Analysis of Mixed Workloads from Shared Cloud Infrastructure -- Tuning EASY-Backfilling Queues -- Don't Hurry be Happy: a Deadline-based Backfilling Approach -- Supporting Real-Time Jobs on the IBM Blue Gene/Q: Simulation-Based Study -- Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties -- Programmable In Situ System for Iterative -- A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems Workflows -- ScSF: A Scheduling Simulation Framework -- DJSB: Dynamic Job Scheduling Benchmark. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2017, held in Orlando, FL, USA, in June 2017. The 10 revised full papers presented in this book were carefully reviewed and selected from 20 submissions. The papers cover topics in the fields of design and evaluation of new scheduling approaches; performance evaluation of scheduling approaches; workloads; consideration of additional constraints in scheduling systems; scaling and composition of very large scheduling systems; cloud provider issues; interaction between schedulers on different levels; interaction between applications/workloads; experience reports from production systems or large scale compute campaigns. . 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10773 606 $aSoftware engineering 606 $aComputer systems 606 $aComputers, Special purpose 606 $aMicroprocessors 606 $aComputer architecture 606 $aLogic design 606 $aSoftware Engineering 606 $aComputer System Implementation 606 $aSpecial Purpose and Application-Based Systems 606 $aProcessor Architectures 606 $aLogic Design 615 0$aSoftware engineering. 615 0$aComputer systems. 615 0$aComputers, Special purpose. 615 0$aMicroprocessors. 615 0$aComputer architecture. 615 0$aLogic design. 615 14$aSoftware Engineering. 615 24$aComputer System Implementation. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aProcessor Architectures. 615 24$aLogic Design. 676 $a004.35 702 $aKlusá?ek$b Dalibor$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCirne$b Walfredo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDesai$b Narayan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910444451203321 996 $aJob Scheduling Strategies for Parallel Processing$92569128 997 $aUNINA