03141nam 2200565 a 450 991043757180332120200520144314.01-4614-5224-410.1007/978-1-4614-5224-9(CKB)2670000000277898(EBL)1030904(OCoLC)820123049(SSID)ssj0000798584(PQKBManifestationID)11440632(PQKBTitleCode)TC0000798584(PQKBWorkID)10744891(PQKB)10850203(DE-He213)978-1-4614-5224-9(MiAaPQ)EBC1030904(PPN)168302403(EXLCZ)99267000000027789820121108d2013 uy 0engur|n|---|||||txtccrEnergy-aware scheduling on multiprocessor platforms /Dawei Li, Jie Wu1st ed. 2013.New York Springer20131 online resource (66 p.)SpringerBriefs in computer science,2191-5768Description based upon print version of record.1-4614-5223-6 Includes bibliographical references.Introduction -- System Model -- Scheduling on Homogeneous DVFS Multiprocessor Platforms -- Scheduling on Hetereogeneous DVFS Multiprocessor Systems -- Related Work -- Conclusion and Future Directions.Multiprocessor 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 significantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supply voltage and the clock frequency to operate on different power/energy levels, is considered an effective 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 classifies existing works according to two key standards, namely, homogeneity/heterogeneity of multi­processor platforms and the task types considered. Under this classification, other sub-issues are also included, such as, slack reclamation, fixed/dynamic priority sched­uling, partition-based/global scheduling, and application-specific power consumption, etc.SpringerBriefs in Computer Science,2191-5768MultiprocessorsMultiprocessors.004.21Li Dawei1058039Wu Jie487060MiAaPQMiAaPQMiAaPQBOOK9910437571803321Energy-aware scheduling on multiprocessor platforms4185127UNINA