LEADER 01043nam0-2200325---450- 001 990008318200403321 005 20060502163554.0 010 $a3-525-35473-8 035 $a000831820 035 $aFED01000831820 035 $a(Aleph)000831820FED01 035 $a000831820 100 $a20060502d2000----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $af-------001yy 200 1 $aMemoria und Reprasentation$edie Grabmaler des Konigshauses Anjou in Italien$fvon Tanja Michalsky 210 $aGottingen$cVandenhoeck & Ruprecht$d2000 215 $a446 p.$cill., [66]c. di tav.$d25 cm 225 1 $aVeroffentlichungen des Max-Planck-Instituts fur Geschichte$v157 610 0 $aAngioini$aMonumenti sepolcrali$aSec. 13.-14. 676 $a730.94$v21$zita 700 1$aMichalsky,$bTanja$0283489 801 0$aIT$bUNINA$c20060502$gRICA$2UNIMARC 901 $aBK 912 $a990008318200403321 952 $a730.94 MIC 1$bBibl.46058$fFLFBC 959 $aFLFBC 996 $aMemoria und Reprasentation$9744952 997 $aUNINA LEADER 02353oam 2200433zu 450 001 9910141028103321 005 20241212220041.0 010 $a9781424498017 010 $a1424498015 035 $a(CKB)2670000000070673 035 $a(SSID)ssj0000527842 035 $a(PQKBManifestationID)12224576 035 $a(PQKBTitleCode)TC0000527842 035 $a(PQKBWorkID)10545109 035 $a(PQKB)11632343 035 $a(NjHacI)992670000000070673 035 $a(EXLCZ)992670000000070673 100 $a20160829d2010 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2010 IEEE International Conference on Service-Oriented Computing and Applications 210 31$a[Place of publication not identified]$cI E E E$d2010 215 $a1 online resource $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781424498024 311 08$a1424498023 330 $aWhile modern CPUs offer an increasing number of cores with shared caches, prevailing execution engines for business processes, workflows, or Web service compositions have not been optimized for properly exploiting the abundant processing resources of such CPUs. One factor limiting performance is the inefficient thread scheduling by the operating system, which can result in suboptimal use of shared caches. In this paper we study performance of the JOpera business process execution engine on a recent multicore machine. By analyzing the engine's architecture and by binding threads that are likely to access shared data to cores with a common cache, we achieve speedups up to 13% for a variety of workloads, without modifying the engine's architecture and implementation, apart from binding threads to CPUs. As the engine is implemented in Java, we provide a new Java library to manage thread bindings and hardware performance counters. We also leverage hardware performance counters to explain the observed speedup in our performance analysis. 606 $aElectronic commerce$vCongresses 615 0$aElectronic commerce 676 $a658.872 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910141028103321 996 $a2010 IEEE International Conference on Service-Oriented Computing and Applications$92540101 997 $aUNINA