Energy-efficient Real-time Task Scheduling in Multiprocessor DVS Systems
Resource
Design Automation Conference, 2007. ASP-DAC '07. Asia and South Pacific, 342-349
Journal
Asia and South Pacific Design Automation Conference
Pages
342-349
Date Issued
2007
Date
2007
Author(s)
Abstract
Dynamic voltage scaling (DVS) circuits have been widely adopted in many computing systems to provide tradeoff between performance and power consumption. The effective use of energy could not only extend operation duration for hand-held devices but also cut down power bills of server systems. Moreover, while many chip makers are releasing multi-core chips and multiprocessor system-on-a-chips (SoCs), multiprocessor platforms for different applications become even more popular. Multiprocessor platforms could improve the system performance and accommodate the growing demand of computing power and the variety of application functionality. This paper summarizes our work on several important issues in energy-efficient scheduling for real-time tasks in multiprocessor DVS systems. Distinct from most previous work based on heuristics, we aim at the provision of approximated solutions with worst-case guarantees. The proposed algorithms are evaluated by a series of experiments to provide insights in system designs. ©2007 IEEE.
SDGs
Other Subjects
Computer aided design; Computer systems; Conservation; Digital integrated circuits; Energy efficiency; Hand held computers; Heuristic programming; Industrial engineering; Mechanization; Microprocessor chips; Networks (circuits); Real time systems; Scheduling; Voltage stabilizing circuits; (+ mod 2N) operation; Approximated solutions; Chip makers; Computing powers; Computing systems; Design automation conference (DAC); Dynamic voltage scaling (DVS); Energy efficient; Energy Efficient Scheduling; Growing demand; Hand-held devices; Multi core chips; Multi processor platforms; Multi processor systems; Power consumption (CE); Real-time task scheduling; Real-time tasks; Server systems; South Pacific; system designs; system performances; Multiprocessing systems
Type
conference paper
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