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Recent developments in mobile cloud scheduling: state-of-the-art, challenges and perspectives

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Cloud computing became recently one of the most popular multi-layer distributed computational and data processing environments with various types of services, distributed data storages and resources. With rapid development of mobile technologies, computational clouds have been transformed into the systems with dynamically changing topology and flexible infrastructure through integration with the mobile devices and mobile users as the whole system nodes and actors. The aim of this paper is to provide a comprehensive study and critical comparative analysis of the recent developments in the Mobile Clouds with a new energy optimization criterion scheduling.
Słowa kluczowe
Rocznik
Tom
Strony
51--57
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
  • Faculty of Physics, Mathematics, and Computer Science, Department of Computational Intelligence, Cracow University of Technology, Warszawska 24 st 31-155 Cracow, Poland
Bibliografia
  • [1] H. Singh and D. Seehan (Sangrur) “Current trends in cloud computing a survey of cloud computing trends”, Int. J. Elec. Comp. Sci. Engin., vol. 1, no. 3, pp. 1214–1219, 2012.
  • [2] N. Fernando, S. W. Loke, and W. Rahayu, “Mobile cloud computing: a survey”, Future Gener. Comp. Syst., vol. 29, no. 1, pp. 84–106, 2013.
  • [3] M. Shanklin, “MobilE CLOUD COMPUTing” [Online]. Available: http://www.cse.wustl.edu/_jain/cse574-10/ftp/cloud/index.html#sec32
  • [4] M. Kristensen, “Scavenger: Transparent development of efficient cyber foraging applications”, in Proc. IEEE Int. Conf. Pervasive Comput. Commun. PerCom 2010, Mannheim, Germany, 2010, pp. 217–226.
  • [5] S. Sindia et al., “MobSched: Customizable scheduler for mobile cloud computing”, in Proc. 45th Southeastern Symp. Sys. Theory SSST 2013, Waco, TX, USA, 2013, pp. 129–134.
  • [6] K. Kumar and Y.-H. Lu, “Cloud computing for mobile users: can offloading computation save energy?” Computer, vol. 43, no. 4, 2010.
  • [7] M. Armbrust et al., “A view of cloud computing”, Mag. Commun. of the ACM, vol. 53, no. 4, 2010.
  • [8] I. Constandache, X. Bao, M. Azizyan, and R. R. Choudhury, “Did you see Bob?: human localization using mobile phones”, in Proc. 16th Ann. Int. Conf. Mob. Comput. Netw. MobiCom 2010, Chicago, IL, USA, 2010, pp. 149–160.
  • [9] N. Banerjee et al., “Virtual compass: relative positioning to sense mobile social interactions”, in Proc. 8th Int. Conf. Pervasive Com- put. Pervasive 2010, Helsinki, Finland, 2010. Berlin Heidelberg: Springer, 2010, pp. 1–21.
  • [10] D. Huang, X. Zhang, M. Kang, and J. Luo, “Mobicloud: building secure cloud framework for mobile computing and communication”, in Proc. 5th IEEE Int. Symp. Serv. Orient. Sys. Engin. SOSE 2010, Nanjing, China, 2010, pp. 27–34.
  • [11] K.-W. Park, S. S. Lim, and K. Ho Park, “Computationally efficient PKI-based single sign-on protocol, PKASSO, for mobile devices”, IEEE Trans. Comp., vol. 57, no. 6, 2008.
  • [12] J. Han and Y. Liu, “Rumor riding: anonymizing unstructured peer-to-peer systems”, in Proc. 14th IEEE Int. Conf. Netw. Protoc. ICNP 2006, Santa Barbara, CA, USA, 2006, pp. 22–31.
  • [13] A. Bandara et al., “Privacy rights management for mobile applications”, in Proc. 4th Int. Symp. Usable Priv. Secur., Pitsburg, PA, USA, 2008.
  • [14] J. Flinn and M. Satyanarayanan, “Powerscope: a tool for profiling the energy usage of mobile applications”, in Proc. 2nd IEEE Worksh. Mob. Comput. Syst. Appl. WMCSA’99, New Orleans, Louisiana, USA, 199, pp. 2–10.
  • [15] A. Rice and S. Hay, “Decomposing power measurements for mobile devices”, in Proc. 8th Int. Conf. Pervasive Comput. Pervasive 2010, Helsinki, Finland, 2010. Berlin Heidelberg: Springer, 2010, pp. 70–78.
  • [16] K. Banerjee and E. Agu, “Powerspy: fine-grained software energy profiling for mobile devices”, in Proc. Int. Conf. Wirel. Netw. Commun. Mob. Comput., Maui, HI, USA, 2005, vol. 2, pp. 1136–1141.
  • [17] L. Xinhui, L. Ying, L. Tiancheng, Q. Jie, and W. Fengchun, “The method and tool of cost analysis for cloud computing”, in Proc. 2nd IEEE Int. Conf. Cloud Comput. CLOUD’09, Bangalore, India, 2009, pp. 93–100.
  • [18] J. Zhang, D. Wu, S. Ci, H. Wang, and A. Katsaggelos, “Poweraware mobile multimedia: A survey”, J. Commun., vol., no. 9, pp. 600–613, 2009.
  • [19] Z. He, Y. Liang, L. Chen, I. Ahmad, and D. Wu, “Power-ratedistortion analysis for wireless video communication dunder energy constraints”, IEEE Trans. Circ. Syst. Video Technol., vol. 15, no. 5, pp. 645–658, 2005.
  • [20] C.-H. Hsu and M. Hefeeda, “A framework for cross-layer optimization of video streaming in wireless networks”, ACM Trans. Multim. Comput. Commun. Appl., vol. 7, no. 1, pp. 1–32, 2011.
  • [21] F. Zhang, T. D. Todd, D. Zhao, and V. Kezys, “Power saving access points for IEEE 802.11 wireless network infrastructure”, IEEE Trans. Mob. Comput., vol. 5, no. 2, pp. 144–156, 2006.
  • [22] W. He, K. Nahrstedt, and X. Liu,“End-to-end delay control of multimedia applications over multihop wireless links”, ACM Trans. Multim. Comput. Commun. Appl., vol. 5, no. 2, 2008.
  • [23] C. Clark et al., “Live migration of virtual machines”, in Proc. 2nd Symp. Netw. Syst. Design Implemen. NSDI’05, Boston, MA, USA, 2005, vol. 2, pp. 273–286.
  • [24] J. Kołodziej, Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems. Studies in Computational Intelligence, vol. 419. Springer, 2012.
  • [25] Q. Liu, X. Jian, J. Hu, and H. Zhao, “An optimized solution for mobile environment using mobile cloud computing”, in Proc. 5th Int. Conf. Wirel. Commun. Netw. Mob. Comput. WiCom’09, Beijing, China, 2009, pp. 1–5.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-66f58021-134d-4657-a917-443f3c26ef12
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