Effective use method of cloudlet resources by mobile users

Effective use method of cloudlet resources by mobile users

Автор: Rashid G. Alakbarov, Oqtay R. Alakbarov

Журнал: International Journal of Computer Network and Information Security @ijcnis

Статья в выпуске: 2 vol.10, 2018 года.

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The paper explores the architecture of mobile cloud technologies. The advantages and the problems emerging during the use of this technology are analyzed. The study analyzes the establishment of network infrastructure based on cloudlets at the second level of mobile computation clouds with hierarchic structure. At the same time, the issues of computation and meeting the demand for memory resources of mobile devices are investigated by employing this technology. The paper presents the solution of the linking problem of cloudlets located in the proximity of base stations of wireless metropolitan area networks (WMAN). The study also determines the number of communication channels among cloudlets for the purpose of effective utilization of cloudlet resources. The issue of uploading necessary program extensions to a corresponding cloudlet by using the possible number specifying the importance of cloudlets was investigated and a method was proposed.

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Mobile computation clouds, mobile devices, computation and memory resources, cloudlet, computation clouds, communication channel, cloud services

Короткий адрес: https://sciup.org/15015578

IDR: 15015578   |   DOI: 10.5815/ijcnis.2018.02.06

Список литературы Effective use method of cloudlet resources by mobile users

  • 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.
  • Sumit Goyal. Public vs Private vs Hybrid vs Community-Cloud Computing: A Critical Review. I.J. Computer Network and Information Security, 2014, 3, pp. 20-29. Published Online February 2014 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijcnis.2014.03.03
  • 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, pp. 1587–1611.
  • Han Qi, Abdullah Gani. Research on Mobile Cloud Computing: Review, Trend and Perspectives. https://arxiv.org/ftp/arxiv/papers/ 1206/1206.1118.pdf
  • 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.
  • Alakbarov R.G., Alakbarov O.R. Mobile Clouds Computing: Current State, Architecture and Problems. 2nd IEEE International Conference on Electrical, Computer and Communication Technologies (IEEE ICECCT 2017) 22 - 24, February 2017, Coimbatore, India. 10.1109/ICECCT.2017.8117874
  • Fernando N., Seng L.W., Rahayu L. Mobile Cloud Computing: A Survey // Journal of Future Generation System, 2013, vol29, no.1, pp. 84-106.
  • 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. vol.20, Issue: 3, June 2013, pp.14–22.
  • M. Jia, J. Cao, and W. Liang. Optimal cloudlet placement and user to cloudlet allocation in wireless metropolitan area networks. To appear in IEEE Transactions on Cloud Computing.Vol.PP.Issue:3.June2015.http://users.cecs.anu.edu.au/~Weifa.Liang/publication.html.
  • Alakbarov R.G., Pashayev F.H., Alakbarov O.R. Optimal Deployment Model of Cloudlets In Mobile Cloud Computing. 2nd IEEE International Conference on Cloud Computing and Big Data Analysis (?EEE ICCCBDA 2017). April 28-30, 2017, Chengdu, China. pp. 213-217
  • Zichuan Xu, Weifa Liang, Wenzheng Xu, Mike Jia, and Song Guo. Efficient Algorithms for Capacitated Cloudlet.Placements. IEEE Transactions on Parallel and Distributed Systems, Volume: 27, Issue: 10, Oct. 1 2016 .Page(s):2866- 2880.
  • 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.
  • Oladeji P. Akomolafe. Matthew O. Abodunrin. A Hybrid Cryptographic Model for Data Storage in Mobile Cloud Computing.I. J. Computer Network and Information Security, 2017, 6, pp.53-60. Published Online June 2017 in MECS (http://www.mecs-press.org/) DOI: 0.5815/ijcnis. 2017.06.06
  • Alakbarov R., Pashayev F., Alakbarov O. Forecasting Cloudlet Development on Mobile Computing Clouds // I.J. Information Technology and Computer Science, 2017, Vol.9, No.11, pp.23-34.
  • Zayed Al Haddad, Mostafa Hanoune and Abdelaziz Mamouni. A Collaborative Network Intrusion Detection System (C-NIDS) in Cloud Computing. International Journal of Communication Networks and Information Security (IJCNIS) Vol. 8, No. 3, December 2016, pp. 130-135.
  • Azuan Ahmad, Norbik Bashah Idris and Mohd Nazri Kama. CloudIDS: Cloud Intrusion Detection Model Inspired by Dendritic Cell Mechanism. International Journal of Communication Networks and Information Security (IJCNIS) Vol. 9, No. 1, April 2017. Pp. 67-75.
  • J. D. Araújo, D. de Andrade Rodrigues, L. S. de Melo, and Z. Abdelouahab, "EICIDS-elastic and internal cloud-based detection system, International Journal of Communication Networks and Information Security, vol. 7, p. 34, 2015. pp. 34-49.
  • 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, pp.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.
  • 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
  • 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
  • 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.
  • Eddous M., Stansfield R. Methods of decision-making. Moscow: Audit, UNITI, 1997. 590 p.
  • T.Stewart. Calculus: Early Transcendentals, Seventh Edition, Brooks/Cole, Cengage Learning, 2012, 1356 p.
  • R. E. Bellman, L. A. Zadeh, Decision-Making in a Fuzzy Environment, Management Science, 17, № 4, 1970. pp.141 – 164.
  • T.L. Saati. Decision making with the analytical hierarchical process. M: Radio and communication. 1993. 278 p.
  • L. A. Zadeh. Definition of linguistic variable and its implementation to approximate decision-making. M. Mir, 1976. 165 p.
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