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Analysis of Optimal Power-aware Scheduling Techniques in Embedded Systems for the Multiprocessor Platform Running Non-preemptive Jobs

2015 Computer scheduling
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Release : 2015
Genre : Computer scheduling
Kind : eBook
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Book Synopsis Analysis of Optimal Power-aware Scheduling Techniques in Embedded Systems for the Multiprocessor Platform Running Non-preemptive Jobs by : Rahul Ghosh

Download or read book Analysis of Optimal Power-aware Scheduling Techniques in Embedded Systems for the Multiprocessor Platform Running Non-preemptive Jobs written by Rahul Ghosh. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt:

Energy-aware Scheduling on Multiprocessor Platforms

2012-10-20 Business & Economics
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Release : 2012-10-20
Genre : Business & Economics
Kind : eBook
Book Rating : 236/5 ( reviews)

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Book Synopsis Energy-aware Scheduling on Multiprocessor Platforms by : Dawei Li

Download or read book Energy-aware Scheduling on Multiprocessor Platforms written by Dawei Li. This book was released on 2012-10-20. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multiprocessor Scheduling for Real-Time Systems

2015-01-02 Technology & Engineering
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Release : 2015-01-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 960/5 ( reviews)

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Book Synopsis Multiprocessor Scheduling for Real-Time Systems by : Sanjoy Baruah

Download or read book Multiprocessor Scheduling for Real-Time Systems written by Sanjoy Baruah. This book was released on 2015-01-02. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of both theoretical and pragmatic aspects of resource-allocation and scheduling in multiprocessor and multicore hard-real-time systems. The authors derive new, abstract models of real-time tasks that capture accurately the salient features of real application systems that are to be implemented on multiprocessor platforms, and identify rules for mapping application systems onto the most appropriate models. New run-time multiprocessor scheduling algorithms are presented, which are demonstrably better than those currently used, both in terms of run-time efficiency and tractability of off-line analysis. Readers will benefit from a new design and analysis framework for multiprocessor real-time systems, which will translate into a significantly enhanced ability to provide formally verified, safety-critical real-time systems at a significantly lower cost.

Energy-Aware Scheduling for Real-Time Embedded Systems

2012-04
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Release : 2012-04
Genre :
Kind : eBook
Book Rating : 056/5 ( reviews)

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Book Synopsis Energy-Aware Scheduling for Real-Time Embedded Systems by : Muhammad Khurram Bhatti

Download or read book Energy-Aware Scheduling for Real-Time Embedded Systems written by Muhammad Khurram Bhatti. This book was released on 2012-04. Available in PDF, EPUB and Kindle. Book excerpt: Real-time embedded systems have become ubiquitous in our daily life. Due to their diversified usage, the research on these systems has confronted with many emerging challenges. One such challenge is to reduce power and energy consumption while maintaining assurance that timing constraints will be met. Power densities in microprocessors are almost doubled every three years. As energy is power integrated over time, supplying the required energy may become prohibitively expensive, or even technologically infeasible. This is particularly difficult in portable systems that heavily rely on batteries for energy, and will become even more critical as battery capacities are increasing at a much slower rate than power consumption. This book presents four contributions that are based on the thesis that energy-efficiency of Real-time Embedded Systems and scheduling are closely related problems and therefore, should be tackled together for optimal results. Contributions of this book are: 1) Two-level Hierarchical Scheduling Algorithm for Multiprocessor Systems, 2) Assertive Dynamic Power Management Scheme, 3) Deterministic Stretch-to-Fit DVFS Technique, and 4) Hybrid Power Management Scheme.

Evaluation of Power Management Strategies on Actual Multiprocessor Platforms

2013
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Release : 2013
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Book Synopsis Evaluation of Power Management Strategies on Actual Multiprocessor Platforms by : Jabran Khan Jadoon

Download or read book Evaluation of Power Management Strategies on Actual Multiprocessor Platforms written by Jabran Khan Jadoon. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this study is to investigate how power management strategies can be efficiently exploited in actual platforms. Primarily, the challenges in multicore based embedded systems lies in managing the energy expenditure, determining the scheduling behavior and establishing methods to monitor power and energy, so as to meet the demands of the battery life and load requirements. The work presented in this dissertation is a study of low power-aware strategies in the practical world for single and multiprocessor platforms. The approach used for this study is based on representative multiprocessor platforms (real or virtual) to identify the most influential parameters, at hardware as well as application level, unlike many existing works in which these parameters are often underestimated or sometimes even ignored. The work analyzes and compares in detail various experimentations with different power policies based on Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Switching (DPS) techniques, and investigates the conditions at which these policies are effective in terms of energy savings. The results of these investigations reveal many interesting and notable conclusions that can serve as prerequisites for the efficient use of power management strategies. This work also shows the potential of advanced domain specific power strategies compared to real world available strategies that are general purpose based in their majority. Finally, some high level consumption models are derived from the different energy measurement results to let the estimation of power management benefits at early stages of a system development.

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