Abstract
Fault tolerance is a major concern to guarantee availability and reliability of critical services as well as application execution. Recently, due to rapid expansion of smart phone market and wireless communication environment, mobile devices are considered as resource for large scale distributed processing but there are several drawbacks, such as unstable wireless connection, limitation of data storage capacity, low communication bandwidth and frequent location changes. Cloud systems differ from these previous frameworks in that they are designed to support large numbers of customer-oriented applications, each with different quality of service (QoS) requirements and resource consumption characteristics. As resource providers, mobile devices can join and leave the distributed computing environment unpredictably. This interrupts the undergoing operation, and the delay or failure of completing the operation may cause a system failure. In this paper, we propose a monitoring technique based on Load Balancing.
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References
Jisu Park, H.Y., Chung, K., Lee, E.: Markov chain based monitoring service for fault tolerance in mobile cloud computing. In: 2011 Workshops of International Conference on Advanced Information Networking and Applications, pp. 520–526. IEEE (2011)
Etoh, M.: Future mobile services technologies beyond 2020 (TTM). In: 2011 IEEE Technology Time Machine Symposium, pp. 1–2 (2011)
Hong, D.: Pervasive forensic analysis based on mobile cloud computing. In: 2011 Third International Conference on Multimedia Information Networking and Security, pp. 572–576 (2011)
Lin, J.: Distributed mobility control for fault-tolerant mobile networks. In: Proceedings of Systems Communications, pp. 61–66 (2005)
Sook, K.C.: Replication and checkpoint schemes for task-fault tolerance in campus-wide mobile grid. Grid Distrib. Comput. Commun. Comput. Inf. Sci. 261, 455–467 (2011)
Wang, C., Wang, Q., Ren, K., Cao, N., Lou, W.: Toward secure and dependable storage services in cloud computing. IEEE Trans. Serv. Comput. 5(2), 220–232 (2012)
Bowers, K.D., Juels, A., Oprea, A.: HAIL: a high-availability and integrity layer for cloud storage. In: Proceedings of the ACM Conference on Computer and Comm. Security (CCS’09), pp. 187–198 (2009)
Wang, Y., Zhou, Y.: Cloud architecture based on near field communication in the smart city. In: The 7th International Conference on Computer Science & Education (ICCSE 2012), pp. 231–234 (2012)
Nurmi. D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., Zagorodnov, D.: The Eucalyptus Open-Source Cloud-Computing System. IEEE/ACM (2009)
Li, X., Yu, Q.: Design and implementation of quality tracking system based on cloud computing. In: International Conference on Computer Science and Network Technology 2011, pp. 2495–2498. IEEE (2011)
Chalermarrewong, T., Achalakul, T., See, S.: The design of a fault management framework for cloud. In: 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTICON2012), pp. 1–4 (2012)
Gmach, D., Rolia, J., Cherkasova, L.: Resource and virtualization costs up in the cloud: models and design choices. In: 2011 IEEE/IFIP 41st International Conference on Dependable Systems & Network, pp. 395–402 (2011)
Zhang, X., Chen, L.: Fault tolerance study for durable storage on the cloud. In: 2011 International Conference on Cloud and Service Computing, pp. 360–365 (2011)
Wu, M., Sun, X. H., Jin, H., Performance under failure of high-end computing. In: Proceedings of the 2007 ACM/IEEE Conference on SuperComputing (2007)
Tian, J.: Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement. Wiley, New York (2005)
Vincenzo. G., Raffaela M., Antonino S.,: A model-driven approach to performability analysis of dynamically reconfigurable component-based systems. In: Proceedings of 6th International Workshop on Software and Performance, pp. 103–114. ACM, New York (2007)
Woitaszek, M., Tufo, H.M.: Developing a cloud computing charging model for high-performance computing resources. In: Proceedings of the 10th IEEE International Conference on Computer and Information Technology, pp. 210–217 (2010)
Gabner, R., Schwefel, H.P., Hummel, K.., Haring, G.: Optimal model-based policies for component migration of mobile cloud services. In: 10th IEEE International Symposium on Network Computing and Applications, pp. 195–202 (2011)
Avresky, D.R., Geoghegan, S.J., Varoglu, Y.: Evaluation of software-implemented fault-tolerance approach in gracefully degradable multi-computer systems. IEEE Trans. Reliab. 55(3), 451–457 (2006)
Weiqing, Z., Yafei, S., Lijuan, D.: Improving computer basis teaching through mobile communication and cloud computing technology. In: 2010 3rd International Conference on Advanced Computer Theory and Engineering, vol. 1, pp. 452–454. IEEE (2010)
Acknowledgements
Appreciation Conveyed to Ministry of Higher Education Malaysia for project financing under Exploratory Research Grant Scheme RDU120608 and University Malaysia Pahang Short Term Grant RDU120331.
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Noraziah, A., Herawan, T., Rahman, M.T.A., Abdullah, Z., Mustafa, B.A., Fakharaldien, M.A.I. (2019). Fault Tolerance Impact on Near Field Communication for Data Storage of Mobile Commerce Technology in Cloud Computing. In: Abawajy, J., Othman, M., Ghazali, R., Deris, M., Mahdin, H., Herawan, T. (eds) Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) . Lecture Notes in Electrical Engineering, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-13-1799-6_51
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DOI: https://doi.org/10.1007/978-981-13-1799-6_51
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