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Energy-aware Scheduling on Multiprocessor Platforms [electronic resource] / by Dawei Li, Jie Wu.

By: Li, Dawei [author.].
Contributor(s): Wu, Jie [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Computer Science: Publisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: VII, 59 p. 28 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461452249.Subject(s): Engineering | Operations research | Decision making | Microprocessors | Electric power production | Electronic circuits | Engineering | Energy Technology | Circuits and Systems | Processor Architectures | Operation Research/Decision TheoryAdditional physical formats: Printed edition:: No titleDDC classification: 621.042 Online resources: Click here to access online
Contents:
Introduction -- System Model -- Scheduling on Homogeneous DVFS Multiprocessor Platforms -- Scheduling on Hetereogeneous DVFS Multiprocessor Systems -- Related Work -- Conclusion and Future Directions.
In: Springer eBooksSummary: 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.
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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.

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