Entropy, a new dynamics governing parameter in real time distributed system: a simulation study

References

• B.T.Akgün, BAG Distributed real-time operating system and task migration, Turk. J. Electr. Eng.9 (2001), pp. 123–136.
   Google Scholar
• B.T.Akgün, E.Peksen, and A.E.Harmanci, An Implementation of a Load Balancing Algorithm for the BAG System, Proceedings of 14th Int. Conference on Applied Informatics, IASTED, Innsbruck, Austria,1996, pp. 43–45.
   Google Scholar
• J.H.Anderson, V.Bud, and U.C.Devi, An EDF-based Scheduling Algorithm for Multiprocessor Soft Real-Time Systems, Proceedings of 17th IEEE Euromicro Conference on Real-Time Systems, Palma de Mallorca, Spain, 2005, pp. 199–208.
   Google Scholar
• J.H.Anderson, V.Bud, and U.C.Devi, An EDF-based restricted-migration scheduling algorithm for multiprocessor soft real-time systems, Int. J. Time-Crit. Comput. Real-Time Syst.38(2) (2008), pp. 85–131.
   Web of Science ®Google Scholar
• M.Bertogna, M.Cirinei, and G.Lipari, Schedulability analysis of global scheduling algorithms on multiprocessor platforms, IEEE Trans. Parallel Distrib. Syst.20(4) (2009), pp. 553–566.
   Web of Science ®Google Scholar
• L.Brillouin, Science & Information Theory, Dover Publications, Mineola, NY, 2004.
   Google Scholar
• G.C.Buttazzo, Rate monotonic vs. EDF: Judgment day, Proceedings of the 3rd International Conference on Embedded Software, Lecture Notes in Computer Science, Vol. 2855, Philadelphia, PA, USA,2003, pp. 67–83.
   Google Scholar
• P. Penfield, Jr. Chapter-10, Principle of Maximum Entropy. Available at www.mtl.mit.edu/Courses/6.050/2003/notes/chapter10.pdf.
   Google Scholar
• D.Chen, A.Mok, and S.Baruah, On Modeling Real-Time Task Systems, Proceedings of the European Educational Forum School on Embedded Systems, Lecture Notes in Computer Science, Vol. 1494, Springer, Veldhoven, The Netherlands, November 25–29, 1996, pp. 153–169.
   Google Scholar
• D.R.Cheriton, The V distributed system, Commun. ACM31(3) (1988), pp. 314–333.
   Web of Science ®Google Scholar
• A.Díaz-Ramírez, D.K.Orduño, and P.Mejía-Alvarez, A multiprocessor real-time scheduling simulation tool, in 22nd IEEE International Conference on Electrical Communications and Computers (CONIELECOMP), Puebla, Mexico, February 27–29, 2012, pp. 157–161.
   Google Scholar
• P.Emberson and I.Bate, Minimising Task Migration and Priority Changes in Mode Transitions, Proceedings of 13th IEEE Real Time and Embedded Technology and Applications Symposium, Bellevue, Washington, USA, April 3–6, 2007, pp. 158–167.
   Google Scholar
• D. Feldman, A Brief Introduction to: Information Theory, Excess Entropy and Computational Mechanics, College of the Atlantic, Bar Harbor, 2002, pp. 381–386.
   Google Scholar
• N.W. Fisher, The multiprocessor real-time scheduling of general task systems, Ph.D. diss., Department of Computer Science, The University of North Carolina at Chapel Hill, NC, 2007.
   Google Scholar
• S.F.Gull and J.Skilling, Maximum entropy method in image processing, IEEE Proc.131(6) (1984), pp. 646–659.
   Google Scholar
• S.Lehoczky and R.Rusczyk, Art of Problem Solving, Articles and Excerpts, Vol. 1, AoPS Incorporated, USA, 2006.
   Google Scholar
• S.-K.Lin, Diversity and entropy, Entropy1(1) (1999), pp. 1–3.
   Google Scholar
• C.Lu, X.Wang, and X.Koutsoukos, End-to-End Utilization Control in Distributed, Real-Time Systems, Proceedings of 24th IEEE International Conference on Distributed Computing Systems, Hachioji, Tokyo, Japan, March 24–26, 2004, pp. 456–466.
   Google Scholar
• R.Malouf, A comparison of algorithms for maximum entropy parameter estimation, in Proceedings of the Sixth Conference on Natural Language Learning (CoNLL-2002), pp. 49–55.
   Google Scholar
• M.O'Leary, The Structure of Proof: With Logic and Set Theory, Prentice-Hall, New Jersey, 2002.
   Google Scholar
• D.W.Robinson, Entropy and uncertainty, Entropy10 (2008), pp. 493–506.
   Web of Science ®Google Scholar
• A.Shah and K.Kotecha, Efficient scheduling algorithm for real-time distributed system, in 1st IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC-2010), JUIT-Waknaghat, India, October 28–30, 2010, pp. 44–48.
   Google Scholar
• C.E.Shannon, A mathematical theory of communication, Bell Syst. Tech. J.27(4) (1948), pp. 379–423.
   Google Scholar
• R.Sharma and Nitin, Task migration with EDF-RM scheduling algorithms in distributed system, in IEEE 2nd International conference on Advances in Computing and Communications, Cochin, Kerala, India, August 9–11, 2012, pp. 182–185.
   Google Scholar
• R.Sharma and Nitin, Visualization of Information Theoretic Maximum Entropy Model in Real Time Distributed System, Proceedings of IEEE 3rd International Conference on Advances in Computing and Communications (ICACC-2013), Cochin, Kerala, India, August 29–31, 2013, pp. 282–286.
   Google Scholar
• S.Shimokawa and H.Ozawa, On the thermodynamics of the oceanic general circulation: Entropy increase rate of an open dissipative system and its surroundings, Tellus53(2) (2001), pp. 266–277.
   Google Scholar
• J. Singh, R. Patnaik, S.P. Singh, and M. Sahoo, Schedulability test for soft real-time systems under multiprocessor environment by using an earliest deadline first scheduling algorithm, Int. J. Comput. Appl. 46(7) (2012), pp. 29–38.
   Google Scholar
• A.Srinivasan and J.H.Anderson, Efficient Scheduling of Soft Real-Time Applications on Multiprocessors, Proceedings of the 15th IEEE Euromicro Conference on Real-Time Systems, Porto, Portugal, July 2–4, 2003, pp. 51–59.
   Google Scholar
• G.Umarani Srikanth, A.P.Shanthi, V.Uma Maheswari, and A.Siromoney, A survey on real time task scheduling, Eur. J. Sci. Res.69(1) (2012), pp. 33–41.
   Google Scholar
• X.Wang, D.Jia, C.Lu, and X.Koutsoukos, Decentralized utilisation control in distributed real-time systems, in 26th IEEE International Real-Time Systems Symposium, Miami, FL, USA, December 6–8, 2005, pp. 133–142.
   Google Scholar
• D.Yu, L.Deng, and A.Acero, Using continuous features in the maximum entropy model, Pattern Recogn. Lett.30 (2009), pp. 1295–1300.
   Web of Science ®Google Scholar
• W.Zurek, Algorithmic randomness and physical entropy, Phys. Rev. A40 (1989), pp. 4731–4751.
   PubMed Web of Science ®Google Scholar
• W.Zurek, Thermodynamic cost of computation, algorithmic complexity and the information metric, Nature347 (1989), pp. 119–124.
   Web of Science ®Google Scholar