Authors:
Hamayun Khan,Muhammad Rehan usman,Bilal Ahmed,M. Usman Hashmi,ZeeshanNajam,Sheeraz Ahmad,DOI NO:
https://doi.org/10.26782/jmcms.2019.08.00036Keywords:
Storm,Dynamic Power Management,Multicore Devices,Real-time systems,Abstract
Microprocessors design consist of many micro level chips that reaches to a state where thermal upsurge occurs due to rapid processing of data and effect (reduce) their efficiency in many different aspects. That production of heat can cause disintegration which makes the chips disable of doing many function they are assign to perform. Embedded devices are designed to combine hardware and software, software integration can insert to hardware to perform some specific function. Multicore embedded devices are in different shapes and dimension. It has various applications on larger scale in networking and nuclear powerhouses to small multimedia players printers, automobiles, cameras mobile handset due to higher demand of power the energy becomes the major concern of the multicore devices for this a thermal aware scheduling algorithm has been proposed that consider the migration of load from higher state to that of lower state and considers all type of tasks and forecast them according to the priority by maintaining the previous history. The proposed technique also considers various thermal values by consulting the previous priorities of task on multicore systems. Migration policy is used to share load from one core to another the algorithm efficiently decreases almost 3℃ temperatures at 40% utilization and the energy utilization is 221.3 J which is 3.12 % improved as compare to the global EDF.Refference:
I. Alexandru Andrei, PetruEles, Zebo Peng, Marcus T. Schmitz, Bashir M. Al
Hashimi, “Energy optimization of multiprocessor systems on chip by voltage
selection,” IEEE Transaction on VLSI, vol 50, no.3, 2007.
II. C. J. Lasance, “Thermally Driven Reliability Issues in Microelectronic
Systems: Status-quo and Challenges”. Microelectronics Reliability, pp. 1969–
1974, December 2003.
III. FarzanFallah and MassoudPedram. Standby and active leakage current
control and minimization in cmosvlsi circuits. IEICE Transactions, 88-
C(4):509–519, 2005.
IV. G. Petrone, G. Seagnuolo, R. Teodorescu, ‘”Reliability Issues In Photovoltaic
Power Processing Systems”, IEEE Traansactions, July, 2008.
V. H. Khan, Q. Bashir, and M. U. Hashmi, “Scheduling based Energy
Optimization Technique in multiprocessor Embedded Systems,” in 2018
International Conference on Engineering and Emerging Technologies
(ICEET). doi:10.1109/iceet1.2018.8338643, 2018.
VI. H. Khan, M. U. Hashmi, Z. Khan, and R. Ahmad, “Offline Earliest Deadline
first Scheduling based Technique for Optimization of Energy using STORM
in Homogeneous Multi- core Systems,” IJCSNS Int. J. Comput. Sci. Netw.
Secur. VOL.18 No.12, December 2018, vol. 18, no. 12, pp. 125–130, 2018.
VII. H. Khan, S. Ahmad, N. Saleem, M. U. Hashmi, and Q. Bashir, “Scheduling
Based Dynamic Power Management Technique for offline Optimization of
Energy in Multi Core Processors,” Int. J. Sci. Eng. Res. Vol. 9, Issue 12,
December-2018, vol. 9, no. 12, pp. 6–10, 2018.
VIII. H. Khan, M. U. Hashmi, Z. Khan, R. Ahmad, and A. Saleem, “Performance
Evaluation for Secure DES-Algorithm Based Authentication & Counter
Measures for Internet Mobile Host Protocol,” IJCSNS Int. J. Comput. Sci.
Netw. Secur. VOL.18 No.12, December 2018, vol. 18, no. 12, pp. 181–185,
2018.
IX. Jian-Jia Chen, Shengquan Wang, and Lothar Thiele. Proactive speed
scheduling for real-time tasks under thermal constraints. In Proceedings of
the 2009 15th IEEE Symposium on Real-Time and Embedded Technology
and Applications, RTAS ’09, pages 141–150, Washington,DC, USA, 2009.
IEEE Computer Society.
X. Mehdi Kamal, A. Iranfar, A. Afzali-Kusha, M.Pedram,”A Thermal Stressaware
Algorithm for Power and Temperature Management of MPSoCs” In
EDAA, 2015.
XI. Matt Bach. How ambient temperatures affect your pc. Temperatures-Affect-
Your-PC-158/, Written on August 15, 2012.
XII. PratyushKumar,LotharThiele,”Thermally Optimal Stop-GO Scheduling of
Task Graphs with Real Time Constraints,”In ASP-DAC, IEEE Press, pp.
123-128, 2011.
XIII. Q. Bashir, H. Khan, M. U. Hashmi, and S. Ali zamin, “A Survey on
Scheduling Based Optimization Techniques in Multi-Processor Systems,” in
Proceedings of the 3rd International Conference on Engineering & Emerging
Technologies (ICEET), Superior University, Lahore, PK, 7-8 April, 2016.,
2016.
XIV. ShekharBorkar. Design challenges of technology scaling. IEEE Micro,
19(4):23–29, July 1999.
XV. Stephen H. Gunther, Frank Binns, Douglas M.Carmean, and Jonathan C.
Hall. Managing the impacincreasing microprocessor power consumption.
(Q1):9, February 2001.
XVI. T. S. Rosing, K. Mihic, G. De Micheli, “Power and Reliability Management
of SoCs,”In IEEE Transaction Very Large Scale Integrated System (VLSI),
vol. 15. no.4, pp.391-403, 2007.
XVII. ThidapatChantem, Xiaobo Sharon Hu, and Robert P. Dick.Temperatureaware
scheduling and assignment for hard real-time applications on mpsocs.
IEEE Trans. VLSI Syst., 19(10):1884–1897, 2011.
View Download