Energy Aware Scheduling On Heterogeneous Processors Using Machine Learning And Mobile Agents
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Energy Aware Scheduling On Heterogeneous Processors Using Machine Learning And Mobile Agents
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Author : Venkateswaran Shekar
language : en
Publisher:
Release Date : 2011
Energy Aware Scheduling On Heterogeneous Processors Using Machine Learning And Mobile Agents written by Venkateswaran Shekar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Algorithms categories.
This thesis focuses on scheduling tasks in a heterogeneous environment with DVS enabled processors to minimize both execution time and energy consumed. The proposed algorithm, called Energy Dynamic Level Scheduling (EDLS), favors low-energy consuming processors by introducing a cost factor that affects scheduling decisions.
Temperature And Energy Aware Scheduling Of Heterogeneous Processors Using Machine Learning
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Author : Harsh Parikh
language : en
Publisher:
Release Date : 2017
Temperature And Energy Aware Scheduling Of Heterogeneous Processors Using Machine Learning written by Harsh Parikh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Algorithms categories.
"In the past 20-some years, the entire lifetime of Data Center, the hymn computer engineers and end users have chanted in harmony has been "faster. . .smaller. . . cheaper. . . lower power. . . ," with the most recently added "and lower temperature. . ." significantly complicating the whole scenario. The trade offs among performance, complexity, cost, power and temperature have created exciting challenges and opportunities. All modern data centers face the widespread problem "High performance without trading energy, power and most important temperature". Previous research on scheduling algorithms of processors have focused on static implementation to minimize energy consumption and heat dissipation, but never used Machine Learning to dynamically apply the algorithm. We use Naive Bayesian Classifiers (NBCs) to select the processor combination for the Temperature and Energy Aware Dynamic Level Scheduling algorithm that satisfies a particular user defined condition such as a deadline, energy or temperature budget. Our simulation results exhibit significant energy and temperature savings at a reasonable increase in overall execution time, the learning algorithm selects the desired processors significantly faster than random selection." -- page iv.
Energy Aware Scheduling On Multiprocessor Platforms
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Author : Dawei Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-19
Energy Aware Scheduling On Multiprocessor Platforms written by Dawei Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-19 with Technology & Engineering categories.
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.
Temperature And Energy Aware Scheduling Of Heterogeneous Processors
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Author : Rashadul Kabir
language : en
Publisher:
Release Date : 2014
Temperature And Energy Aware Scheduling Of Heterogeneous Processors written by Rashadul Kabir and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Algorithms categories.
"With widespread growth of the internet, data centers have been trying to incorporate faster and more powerful processors to meet the high data processing requirements. Faster and more powerful processors have resulted in higher heat dissipation and energy consumption, which have had detrimental effects on operating costs. High heat dissipation, however, also affects the reliability of processing units. Previous research on scheduling algorithms of processors have either focused on minimal energy consumption or minimal heat dissipation, but never a combination of both. Hence, the focus of this research has been to schedule tasks in a heterogeneous environment with Dynamic Voltage Scaling (DVS) enabled processors to minimize execution time, energy consumption and heat dissipation. Our proposed algorithm, Temperature and Energy aware Dynamic Level Scheduling (TEDLS), favors the cooler and more energy efficient processors by introducing a cost function that affects the scheduling decisions." -- leaf v.
Energy Aware Scheduling On Multiprocessor Platforms
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Author : Springer
language : en
Publisher:
Release Date : 2012-10-20
Energy Aware Scheduling On Multiprocessor Platforms written by Springer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-20 with categories.
Energy Aware Real Time Scheduling On Heterogeneous And Homogeneous Platforms In The Era Of Parallel Computing
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Author : Ashik Ahmed Bhuiyan
language : en
Publisher:
Release Date : 2021
Energy Aware Real Time Scheduling On Heterogeneous And Homogeneous Platforms In The Era Of Parallel Computing written by Ashik Ahmed Bhuiyan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Multi-core processors increasingly appear as an enabling platform for embedded systems, e.g., mobile phones, tablets, computerized numerical controls, etc. The parallel task model, where a task can execute on multiple cores simultaneously, can efficiently exploit the multi-core platform’s computational ability. Many computation-intensive systems (e.g., self-driving cars) that demand stringent timing requirements often evolve in the form of parallel tasks. Several real-time embedded system applications demand predictable timing behavior and satisfy other system constraints, such as energy consumption.
Power Aware Scheduling In A Heterogeneous Processor
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Author : Alon Naveh
language : en
Publisher:
Release Date : 2013
Power Aware Scheduling In A Heterogeneous Processor written by Alon Naveh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Energy Aware Scheduling For Real Time Embedded Systems
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Author : Muhammad Khurram Bhatti
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012-04
Energy Aware Scheduling For Real Time Embedded Systems written by Muhammad Khurram Bhatti and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04 with categories.
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.
Energy Aware Task Scheduling On Heterogeneous Systems
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Author : Rehab Farouk Abdel-Kader
language : en
Publisher:
Release Date : 2007
Energy Aware Task Scheduling On Heterogeneous Systems written by Rehab Farouk Abdel-Kader and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computer scheduling categories.
Energy Aware Scheduling Of Parallel Applications On High Performance Computing Platforms
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Author : Ahmed AbdElHai ElRefae Ebaid
language : en
Publisher:
Release Date : 2013
Energy Aware Scheduling Of Parallel Applications On High Performance Computing Platforms written by Ahmed AbdElHai ElRefae Ebaid and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.