Energy-aware Scheduling on Multiprocessor Platforms - Info and Reading Options
By Dawei Li
"Energy-aware Scheduling on Multiprocessor Platforms" was published by Springer New York in 2013 - New York, NY, it has 59 pages and the language of the book is English.
“Energy-aware Scheduling on Multiprocessor Platforms” Metadata:
- Title: ➤ Energy-aware Scheduling on Multiprocessor Platforms
- Author: Dawei Li
- Language: English
- Number of Pages: 59
- Publisher: Springer New York
- Publish Date: 2013
- Publish Location: New York, NY
“Energy-aware Scheduling on Multiprocessor Platforms” Subjects and Themes:
- Subjects: ➤ Systems engineering - Energy Technology - Operation Research/Decision Theory - Circuits and Systems - Engineering - Processor Architectures - Computer science - Electrical engineering - Operations research - Electronic data processing - Distributed processing - Computer scheduling - System design - Electronic data processing, distributed processing
Edition Specifications:
- Format: [electronic resource] /
- Pagination: VII, 59 p. 28 illus.
Edition Identifiers:
- The Open Library ID: OL27036251M - OL19847362W
- Library of Congress Control Number (LCCN): 2012950310
- ISBN-13: 9781461452249
- All ISBNs: 9781461452249
AI-generated Review of “Energy-aware Scheduling on Multiprocessor Platforms”:
"Energy-aware Scheduling on Multiprocessor Platforms" Table Of Contents:
- 1- Introduction
- 2- System Model
- 3- Scheduling on Homogeneous DVFS Multiprocessor Platforms
- 4- Scheduling on Hetereogeneous DVFS Multiprocessor Systems
- 5- Related Work
- 6- Conclusion and Future Directions.
"Energy-aware Scheduling on Multiprocessor Platforms" Description:
The Open Library:
<p>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.</p>Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, <i>Energy-aware Scheduling on Multiprocessor Platforms</i> 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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