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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.
Computer scheduling. --- Electronic data processing -- Distributed processing. --- Multiprocessor. --- Electronic data processing --- Computer scheduling --- System design --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer Science --- Electrical Engineering --- Distributed processing --- Multiprocessors. --- Engineering. --- Operations research. --- Decision making. --- Microprocessors. --- Electric power production. --- Electronic circuits. --- Energy Technology. --- Circuits and Systems. --- Processor Architectures. --- Operation Research/Decision Theory. --- Electronic digital computers --- Multiprogramming (Electronic computers) --- Parallel processing (Electronic computers) --- Systems engineering. --- Computer science. --- Energy Systems. --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- System analysis --- Design and construction --- Energy systems. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Decision making
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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.
Operational research. Game theory --- Mathematical statistics --- Relation between energy and economics --- Electrical engineering --- Applied physical engineering --- Planning (firm) --- Computer science --- Computer architecture. Operating systems --- computers --- mathematische modellen --- energietechniek --- econometrie --- operationeel onderzoek --- ingenieurswetenschappen --- computerkunde --- elektrotechniek --- architectuur (informatica) --- elektrische circuits
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Tissue engineering. --- Nanofibers. --- Fibers. --- Electrospinning. --- Biomedical materials. --- Biocompatible materials --- Biomaterials --- Medical materials --- Medicine --- Biomedical engineering --- Materials --- Biocompatibility --- Prosthesis --- Spinning --- Fibres --- Fibers --- Nanostructured materials --- Regenerative medicine --- Tissue culture --- Bioartificial materials --- Hemocompatible materials --- Biomaterials (Biomedical materials)
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