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Mobile devices and computing cloud resources allocation for interactive applications

Abstract

Using mobile devices such as smartphones or iPads for various interactive applications is currently very common. In the case of complex applications, e.g. chess games, the capabilities of these devices are insufficient to run the application in real time. One of the solutions is to use cloud computing. However, there is an optimization problem of mobile device and cloud resources allocation. An iterative heuristic algorithm for application distribution is proposed. The algorithm minimizes the energy cost of application execution with constrained execution time.

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Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
Archives of Control Sciences no. 27, edition 2, pages 293 - 307,
ISSN: 1230-2384
Language:
English
Publication year:
2017
Bibliographic description:
Krawczyk H., Nykiel M.: Mobile devices and computing cloud resources allocation for interactive applications// Archives of Control Sciences. -Vol. 27., iss. 2 (2017), s.293-307
DOI:
Digital Object Identifier (open in new tab) 10.1515/acsc-2017-0019
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  1. H. BAUER, Y. GOH, S. SCHLINK and C. THOMAS: The supercomputer in your pocket. McKinsey on Semiconductors, (Autumn), (2012), 14-27, open in new tab
  2. Chessgames Services LLC: Chess Statistics. http://www.chessgames.com/chessstats.html, 2016. open in new tab
  3. B. CHUN, S. IHM, P. MANIATIS, M. NAIK and A. PATTI: Clonecloud: elastic execution between mobile device and cloud. Proc. of the 6th Conf. on Computer Systems, (2001), 301-314. open in new tab
  4. Cisco, Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Up- date, 2013-2018. 2014. open in new tab
  5. E. CUERVO. A. BALASUBRAMANIAN, D. CHO, A. WOLMAN, S. SAROIU, R. CHANDRA and P. BAHL: MAUI: making smartphones last longer with code of- fload. Proc. of the 8th Int. Conf. on Mobile Systems, Applications, and Services, (2010), 49-62. open in new tab
  6. E. CZAPLICKI: Elm: Concurrent FRP for Functional GUIs. Senior thesis, Harvard University, 2012. open in new tab
  7. O. ETZION and P. NIBLETT: Event Processing in Action. Manning Publications Co., 2010. open in new tab
  8. J.X. HAO and J.B. ORLIN: A faster algorithm for finding the minimum cut in a directed graph. J. of Algorithms, 17(3), (1994), 424-446. open in new tab
  9. R. KEMP, N. PALMER, T. KIELMANN and H. BAL: Cuckoo: a computation of- floading framework for smartphones. Mobile Computing, Applications, and Ser- vices. Springer, 2010, 59-79. open in new tab
  10. R.E. KORF and D.M. CHICKERING: Best-first minimax search. Artificial Intelli- gence, 84(1), (1996), 299-337. open in new tab
  11. S. KOSTA, A. AUCINAS, P. HUI, R. MORTIER and X. ZHANG: Unleashing the power of mobile cloud computing using thinkair. arXiv:1105.3232 [cs.DC], (2011). open in new tab
  12. H. KRAWCZYK, M. NYKIEL and J. PROFICZ: Mobile offloading framework: So- lution for optimizing mobile applications using cloud computing. Computer Net- works, Springer International Publishing, (2015), 293-305. open in new tab
  13. J. LIBERTY, P. BETTS and S. TURALSKI: Programming Reactive Extensions and LINQ. Springer, 2011. open in new tab
  14. R.K. MA, K.T. LAM and C. WANG: eXCloud: Transparent runtime support for scaling mobile applications in cloud. Int. Conf. on Cloud and Service Computing, (2011), 103-110. open in new tab
  15. V.MARCH, Y. GU, E. LEONARDI, G. GOH, M. KIRCHBERG and B.S. LEE: µcloud: towards a new paradigm of rich mobile applications. Procedia Computer Science, 5 (2011), 618-624. open in new tab
  16. Microsoft Open Technologies: The Reactive Extensions for JavaScript. https://github.com/Reactive-Extensions/RxJS, 2016. open in new tab
  17. H. NILSSON, A. COURTNEY and J. PETERSON: Functional reactive program- ming, continued. Proc. of the 2002 ACM SIGPLAN Workshop on Haskell, (2002), 51-64. open in new tab
  18. M. OTHMAN, S.A. MADANI and S.U. KHAN: A survey of mobile cloud comput- ing application models. IEEE Communications Surveys & Tutorials, 16(1), (2014), 393-413.
  19. A. PATHAK, C. HU, M. ZHANG, P. BAHL and Y. WANG: Enabling automatic offloading of resource-intensive smartphone applications. Purdue University, Elec- trical and Computer Engineering Technical Report, 2011. open in new tab
  20. M. SATYANARAYANAN: Mobile computing: the next decade. Proc. of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond, (2010). open in new tab
  21. M. SATYANARAYANAN, P. BAHL, R. CACERES and N. DAVIES: The case for vm-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4), (2009), 14-23. open in new tab
  22. C. SHANNON: Programming a computer for playing chess. The London, Edin- burgh, and Dublin Philosophical Magazine and J. of Science, 41(314), (1950), 256-275. open in new tab
  23. A. STALTZ: Cycle.js -a Functional and Reactive JavaScript Framework for Cleaner Code. http://cycle.js.org/, 2016.
  24. X. ZHANG, A. KUNJITHAPATHAM, S. JEONG and S. GIBBS: Towards an elastic application model for augmenting the computing capabilities of mobile devices with cloud computing. Mobile Networks and Applications, 16(3), (2011), 270-284. open in new tab
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