Loading...
Search for:
kargahi--m
0.009 seconds
Analytical leakage-aware thermal modeling of a real-time system
, Article IEEE Transactions on Computers ; Vol. 63, issue. 6 , 2014 , pp. 1377-1391 ; ISSN: 00189340 ; Kargahi, M ; Movaghar, A ; Sharif University of Technology
Abstract
We consider a firm real-time system with a single processor working in two power modes depending on whether it is idle or executing a job. The system is equipped with dynamic thermal management through a cooling subsystem which can switch between two cooling modes. Real-time jobs which arrive to the system have stochastic properties and are prone to soft errors. A successful job is one that enters the system and completes its execution with no timing or soft error. Appropriateness of the system is evaluated based on its performance, temperature behavior, reliability, and energy consumption. It is noteworthy that these criteria have mutual interactions to each other: the stochastic nature of...
Analytical leakage/temperature-aware power modeling and optimization for a variable speed real-time system
, Article ACM International Conference Proceeding Series ; 2012 , Pages 81-90 ; 9781450314091 (ISBN) ; Kargahi, M ; Movaghar, A ; Sharif University of Technology
2012
Abstract
We consider a DVS-enabled single-processor firm real-time (FRT) system with Poisson arrival jobs having exponential execution times and generally distributed relative deadlines. The queue size of the system bounds the number of jobs which may be available therein. Further, the processor speed depends on the number of jobs in the system which varies because of the job arrivals, service completions, and dead-line misses. Thus, the processor power consumption, includling both the dynamic and leakage powers, depends on the stochastic nature of the system. More specifically, the instantaneous dynamic power consumption lonely depends on the number of jobs at that moment. However, the instantaneous...
Special section on design for resilience in cyber-physical systems
, Article CSI International Symposium on Real-Time and Embedded Systems and Technologies, RTEST 2018 ; 9-10 May , 2018 ; 9781538614754 (ISBN) ; Ejlali, A ; Kargahi, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Maximizing the accrued utility of an isochronal soft real-time system sing genetic algorithms
, Article Proceedings of the 2009 8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, 1 June 2009 through 3 June 2009, Shanghai ; 2009 , Pages 65-69 ; 9780769536415 (ISBN) ; Seifzadeh, H ; Kargahi, M ; Movaghar, A ; Lotfi, S ; IEEE Computer Society; International Association for; Computer and Information Science, ACIS ; Sharif University of Technology
2009
Abstract
Many real-time systems are in fact isochronal, where both early and late responses are harmful to the system or lead to lower quality of service. Real-time task scheduling problems proved that are NP-hard problems. Therefore, it is necessary to apply a heuristic search strategy on these problems. In this paper, a multi-objective genetic algorithm is proposed for static task scheduling in non-overloaded isochronal soft real-time systems. Its objective is to maximize the total utility of jobs. Simulation results indicate that genetic algorithm could be a suitable heuristic search strategy for task scheduling in isochronal soft real-time systems. © 2009 IEEE