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제 목 Energy-Efficient Real-Time Scheduling and Resource~
작성자 백현애 작성일 2009-05-20 조회수 720
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1. 제 목 : Energy-Efficient Real-Time Scheduling and Resource Management for Dynamic, Mobile Embedded Systems 2. 발 표 자 : Binoy Ravindran (Associate Professor, Virginia Tech.) 3. 일 시 : 2009년 5월 20일(목) 14:00 - 16:00 4. 장 소 : 공대 11호관 103호 5. 초청교수 : 최두현교수 6. 강사약력 : (학 력) 1991 B.S., Univ. of Kerala, India, Mechanical Engineering 1994 M.S., New Jersey Institute of Technology, New Jersey, Computer Science 1998 Ph.D., University of Texas at Arlington, Texas, Computer Science (경 력) 2004-현재 Associate Professor, Department of Electrical and Computer Engineering, Virginia Tech. 7. 내용요약 : In this talk, we consider timeliness and DVS-based energy optimization in battery-powered, dynamic, mobile embedded real-time systems, which must remain functional during an operation (or mission) with a bounded energy budget. Dynamic real-time systems operate in environments with run-time uncertainties including those on application activity execution times and arrival patterns. We consider activities that are subject to time/utility function (TUF) time constraints, statistical assurance requirements on timeliness behavior, and a non-exhaustible energy budget. A TUF specifies the utility to the system resulting from the completion of an application activity as a function of its completion time. TUFs provide a vocabulary that reveals the spectrum of time constraints, of which classical deadlines are a special case. We discuss how to optimize timeliness and system-level energy consumption behaviors by dynamically (i.e., at run-time) constructing CPU schedules and scaling CPU voltage and frequency, with polynomial-time costs. We show how such schedule construction and frequency scaling can meet statistical timing requirements, energy budgets, and mutual exclusion constraints (on non-CPU resources), while heuristically maximizing accrued timeliness utility and minimizing energy consumption. We also discuss experimental studies using simulations on DVS-enabled processor models and implementations on RTOSes to validate analytical results and to understand tradeoffs. ※ 주최 : BK21 정보기술연구인력양성사업단, 전자전기컴퓨터학부 ◀ 문의처 : BK21정보기술연구인력양성사업단 ☎ 950-6613 ▶
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