Forecasting cloudlet development on mobile computing clouds

Forecasting cloudlet development on mobile computing clouds

Автор: Rashid G. Alakbarov, Fahrad H. Pashaev, Oqtay R. Alakbarov

Журнал: International Journal of Information Technology and Computer Science @ijitcs

Статья в выпуске: 11 Vol. 9, 2017 года.

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Article studies development dynamics of mobile cloud technologies. Advantages of this technology and problems occurring during its use are analyzed. At the same time, issues related to meeting the demand of computing and memory resources of mobile equipment using this technology are studied. For this purpose, main monitoring parameters, especially delays in network, CPU usage percentage, memory usage, completion time of intended essential operations etc. are analyzed. Considering significance of selected parameters in Cloudlet creation, Integral monitoring parameter was established. In the article analyze technologies were given as the time series of integral parameter. Thus article studies conditions necessitating development of cloudlets on mobile computing clouds and solves issues of forecasting location time of cloudlets near certain base stations.

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Mobile computing clouds, mobile equipment, computing and memory resources, Cloudlet, computing clouds, mobile trade, mobile healthcare, cloud services, forecasting

Короткий адрес: https://sciup.org/15016206

IDR: 15016206   |   DOI: 10.5815/ijitcs.2017.11.03

Список литературы Forecasting cloudlet development on mobile computing clouds

  • Marios D. Dikaiakos, George Pallis, Dimitrios Katsaros, PankajMehra, Athena Vakali.Cloud Computing -Distributed Internet Computing for IT and Scientific Research// IEEE internet computing, 2009. № 9, pp.10-13.
  • Alguliyev R.M., Alekperov R.K. Cloud Computing: Modern State, Problems and Prospects// Telecommunications and Radio Engineering, 2013, vol.72, no.3, pp. 255-266.
  • Rashid Alakbarov, Fahrad Pashayev, Mammad Hashimov. A Model of Computational Resources Distribution Among Data Center Users. International Journalof Advancementsin Computing Technology. Volume 7, Number 2, Mar ch 31, 2015, pp. 1-7
  • Md. Tanvir Rahman, Md. Sifat Ar Salan, Taslima Ferdaus Shuva, Risala Tasin Khan,"Efficient Sensor-Cloud Communication using Data Classification and Compression", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.6, pp.9-17, 2017. DOI: 10.5815/ijitcs.2017.06.02
  • Hoang T. Dinh, Chonho Lee, Dusit Niyato, and Ping Wang. A survey of mobile cloud computing: Architecture, applications, and approaches. Wireless Communications and Mobile Computing. Volume 13, Issue 18. 25 December 2013. Pages 1587–1611
  • Amandeep Verma, Sakshi Kaushal, "Cost Minimized PSO based Workflow Scheduling Plan for Cloud Computing", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.8, pp.37-43, 2015. DOI: 10.5815/ijitcs.2015.08.06
  • Han Qi, Abdullah Gani. Research on Mobile Cloud Computing: Review, Trend and Perspectives. https://arxiv.org/ftp/arxiv/papers/1206/1206.1118.pdf.
  • Tinankoria Diaby, Babak Bashari Rad,"Cloud Computing: A review of the Concepts and Deployment Models", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.6, pp.50-58, 2017. DOI: 10.5815/ijitcs.2017.06.07
  • Mukesh Goyal, Sukhwinder Singh. Mobile Cloud Computing. International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463 Vol. 3 Issue 4, April-2014, pp: 517-521.
  • Fangming Liu, Peng Shu, Hai Jin, Linjie Ding, Jie Yu, Di Niu, Bo Li. Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications. IEEE Wireless Communications (Volume: 20, Issue: 3, June 2013) Page(s): 14 - 22
  • M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, “The case for vm-based cloudlets in mobile computing,” Pervasive Computing, IEEE, vol. 8, no. 4, pp. 14–23, 2009.
  • Yujin Li and Wenye Wang. The Unheralded Power of Cloudlet Computing in the Vicinity of Mobile Devices. Globecom 2013 - Wireless Networking Symposium Pages 4959-4964
  • Ryzhov A.L., Tkhostov A., Pechnikova L. Psychological aspects of involvement in Massively Multiplayer On-line Game (MMOG). International Journal of Psychology. 2015. том 51, № S1, Page(s): 594-594
  • Eric Lengyel. Foundations of Game Engine Development. Terathon Software LLC. 2016. 200 p.
  • Joshua Glazer, Sanjoy Madhav. Multiplayer Game Programming. Architecting Networked Games. Pearson Edication Inc. 2015. 365 p.
  • Debessay Fesehaye, Yunlong Gao, Klara Nahrstedt, Guijun Wang. Impact of Cloudlets on Interactive Mobile Cloud Applications. Enterprise Distributed Object Computing Conference (EDOC), 2012 IEEE 16th International, pp. 10.
  • Tinankoria Diaby, Babak Bashari Rad,"Cloud Computing: A review of the Concepts and Deployment Models", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.6, pp.50-58, 2017. DOI: 10.5815/ijitcs.2017.06.07
  • Debessay Fesehaye, Yunlong Gao, Klara Nahrstedt, Guijun Wang. Impact of Cloudlets on Interactive Mobile Cloud Applications. Enterprise Distributed Object Computing Conference (EDOC), 2012 IEEE 16th International, pp. 10.
  • Yujin Li and Wenye Wang. Can Mobile Cloudlets Support Mobile Applications?. https://research.ece.ncsu.edu/netwis/papers/14LW-Info.pdf
  • Young-Chul Shim. Effects of cloudlets on interactive applications in mobile cloud computing environments. International Journal Of Advanced Computer Technology, Volume 4, Number 1, 2015, pp.54-62.
  • S. Wang, R. Urgaonkar, M. Zafer, T. He, K. Chan, and K. K. Leung, “Dynamic service migration in mobile edge-clouds,” in Proc. of IFIP Networking 2015, May 2015, pp. 9.
  • R. Alakbarov, F.Pashayev, M. Hashimov. Development of the Method of Dynamic Distribution of Users’ Data in Storage Devices in Cloud Technology. // Advances in Information Sciences and Service Sciences (AISS), Vol. 8, No 1,2016. pp.16-21.
  • Usman Shaukat, Ejaz Ahmed, Zahid Anwar, Feng Xia. Cloudlet deployment in local wireless networks: Motivation, architectures, applications, and open challenges Journal of Network and Computer Applications 62 (2016) pp. 18–40
  • Amol C. Adamuthe, Vikram D. Salunkhe, Seema H. Patil, Gopakumaran T. Thampi,"Cloud Computing – A market Perspective and Research Directions", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.10, pp.42-53, 2015. DOI: 10.5815/ijitcs.2015.10.06
  • Christian Meurisch, Alexander Seeliger, Benedikt Schmidt, Immanuel Schweizer, Fabian Kaup, and Max Munlhauser. Upgrading Wireless Home Routers for Enabling Large-Scale Deployment of Cloudlets. https://www.tk.informatik.tu-darmstadt.de/fileadmin/ user_upload/Group_TK/Slides/CM/2015_MobiCASE_Presentation.pdf
  • David Cherney, Tom Denton, Rohit Thomas and Andrew Waldron. Linear Algebra. First Edition. Davis California, 2013. 436 p.
  • Daubechies I. Ten lectures on wavelets. Izhevsk: Scientific-Resarch Center “Regular and chaotic dynamics”, 2001, 464 pp.
  • Daubechies, I. Orthonormal Bases of Compactly Supported Wavelets, Comm. Pure Applied Mathematics, vol. 41, 1988, pp. 909-996.
  • S. G. Mallat, A Wavelet Tour of Signal Processing, Academic Press, 2nd Edition, 1999.
  • R. Rojas. (1996) Neural networks. Springer-Verlag, Berlin, pp. 479.
  • Stanislav Osovsky. (2002) Neuron networks for information processing. Publisher: «Finance and statistics» 343 pp.
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