LEADER 03141nam 2200565 a 450 001 9910437571803321 005 20200520144314.0 010 $a1-4614-5224-4 024 7 $a10.1007/978-1-4614-5224-9 035 $a(CKB)2670000000277898 035 $a(EBL)1030904 035 $a(OCoLC)820123049 035 $a(SSID)ssj0000798584 035 $a(PQKBManifestationID)11440632 035 $a(PQKBTitleCode)TC0000798584 035 $a(PQKBWorkID)10744891 035 $a(PQKB)10850203 035 $a(DE-He213)978-1-4614-5224-9 035 $a(MiAaPQ)EBC1030904 035 $a(PPN)168302403 035 $a(EXLCZ)992670000000277898 100 $a20121108d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEnergy-aware scheduling on multiprocessor platforms /$fDawei Li, Jie Wu 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (66 p.) 225 0$aSpringerBriefs in computer science,$x2191-5768 300 $aDescription based upon print version of record. 311 $a1-4614-5223-6 320 $aIncludes bibliographical references. 327 $aIntroduction -- System Model -- Scheduling on Homogeneous DVFS Multiprocessor Platforms -- Scheduling on Hetereogeneous DVFS Multiprocessor Systems -- Related Work -- Conclusion and Future Directions. 330 $aMultiprocessor platforms play important roles in modern computing systems, and appear in various applications, ranging from energy-limited hand-held devices to large data centers. As the performance requirements increase, energy-consumption in these systems also increases signi?cantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supply voltage and the clock frequency to operate on di?erent power/energy levels, is considered an e?ective way to achieve the goal of energy-saving. This book surveys existing works that have been on energy-aware task scheduling on DVFS multiprocessor platforms. Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, Energy-aware Scheduling on Multiprocessor Platforms covers current research on this topic and classi?es existing works according to two key standards, namely, homogeneity/heterogeneity of multi­processor platforms and the task types considered. Under this classi?cation, other sub-issues are also included, such as, slack reclamation, ?xed/dynamic priority sched­uling, partition-based/global scheduling, and application-speci?c power consumption, etc. 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aMultiprocessors 615 0$aMultiprocessors. 676 $a004.21 700 $aLi$b Dawei$01058039 701 $aWu$b Jie$0487060 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437571803321 996 $aEnergy-aware scheduling on multiprocessor platforms$94185127 997 $aUNINA