Abstract
Resource provision and security requirement for large-scale cloud applications is a challenging issue while design of any web based client oriented business application. Extensive research on various issues in real environment has reported that on-demand provision of resources in cloud where connectivity issue persists for heterogeneous communication channel, requires developers to consider network infrastructure and the environment, which is beyond certain control. In wireless mobile network, the network condition is always changeable and cannot be predicted neither controlled. In this paper resource provisioning and checking of continuous availability of resource to the clients has been carried out using a web based application software that uses cloud servers and data centers. Secondly, an improved security feature has been added to the mobile stations in a registered group to eliminate the unnecessary utilization of resource by unauthorized station which maliciously consumes bandwidth and other facility provided by the cloud provider. Simulation results show that the proposed system performs better than other similar approaches when compared with specific network parameters.
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Tian W, Zhao Y, Xu M, Zhong Y, Sun X (2015) A toolkit for modeling and simulation of real-time virtual machine allocation in a cloud data center. IEEE Trans Autom Sci Eng 12(1):153–161
Lin T, Alpcan T, Hinton K (2017) A game-theoretic analysis of energy efficiency and performance for cloud computing in communication networks. IEEE Syst J 11(2):649–660
https://arxiv.org/pdf/1506.01106.pdf. Last accessed 30 June 2017
Zhao F, Nian G, Jin H, Yang LT, Zhu Y (2017) A hybrid ebusiness software metrics framework for decision making in cloud computing environment. IEEE Syst J 11(2):1049–1059
Panigrahi CR, Sarkar JL, Pati B, Bakshi S (2016) E3M: an energy efficient emergency management system using mobile cloud computing. In: 2016 IEEE international conference on advanced networks and telecommunications systems (ANTS), Bangalore, India, pp 1–6
Monares A (2011) Mobile computing in urban emergency situations: improving the support to firefighters in the field. Expert Syst Appl 38(2):1255–1267
Pati B, Sarkar JL, Panigrahi CR (2016) ECS: an energy-efficient approach to select cluster-head in wireless sensor networks. Arab J Sci Eng 42(2):669–676
Pati B, Sarkar JL, Panigrahi CR, Tiwary M (2015) ECHSA: an energy-efficient cluster-head selection algorithm in wireless sensor network. In: Proceedings of 3rd international conference on mining intelligence and knowledge exploration, pp 184–193
Cao Z, Panwar SS, Kodialam M, Lakshman TV (2017) enhancing mobile networks with software defined networking and cloud computing. IEEE/ACM Trans Netw 25(3):1431–1444
Aikat J et al (2017) Rethinking security in the era of cloud computing. IEEE Secur Priv 15(3):60–69. https://doi.org/10.1109/MSP.2017.80
Garg SK, Buyya RK (2012) An environment for modeling and simulation of message-passing parallel applications for cloud computing. SOFTWARE—PRACTICE AND EXPERIENCE Softw Pract Exper. Published online in Wiley Online Library (http://www.wileyonlinelibrary.com). https://doi.org/10.1002/spe.2156
Tian W, Zhao Y, Zhong Y, Jing C, Sun X (2013) A toolkit for modeling and simulation of real-time virtual machine allocation in a cloud data center. IEEE Trans Autom Sci Eng. https://doi.org/10.1109/TASE.2013.2266338 (online first)
Panigrahi CR, Pati B, Tiwary M, Sarkar JL (2015) EEOA: improving energy efficiency of mobile cloudlets using efficient offloading approach. In: 2015 IEEE international conference on advanced networks and telecommuncations systems (ANTS), Kolkata, pp 1–6
Zhang S, Qian Z, Luo Z, Wu J, Lu S (2016) burstiness-aware resource reservation for server consolidation in computing clouds. IEEE Trans Parallel Distrib Syst 27(4):964–977. https://doi.org/10.1109/TPDS.2015.2425403
Zhao, Zhou K, Huang P (2014) Meeting service level agreement cost-effectively for video-on-demand applications in the cloud. In: IEEE INFOCOM 2014—IEEE conference on computer communications
Luong NC, Wang P, Niyato D, Wen Y, Han Z (2017) Resource management in cloud networking using economic analysis and pricing models: a survey. IEEE Commun Surv Tutor 19(2):954–1001. https://doi.org/10.1109/COMST.2017.2647981 (second quarter 2017)
Aazam M, Huh EN, St-Hilaire M, Lung CH, Lambadaris I (2016) Cloud customer’s historical record based resource pricing. IEEE Trans Parallel Distrib Syst 27(7):1929–1940. https://doi.org/10.1109/TPDS.2015.2473850
Yao G, Ding Y, Hao K (2017) Using imbalance characteristic for fault-tolerant workflow scheduling in cloud systems. IEEE Trans Parallel Distrib Syst PP(9):1. https://doi.org/10.1109/TPDS.2017.2687923
Du Y, de Veciana G (2016) Scheduling for cloud-based computing systems to support soft real-time applications. In: IEEE INFOCOM 2016—the 35th annual IEEE international conference on computer communications, San Francisco, CA, pp 1–9. https://doi.org/10.1109/INFOCOM.2016.7524414
Murugesan S, Bojanova I (2016) Cloud capacity planning and management. In: Encyclopedia of cloud computing, vol 1. Wiley–IEEE Press, p 744. https://doi.org/10.1002/9781118821930.ch23
Mong K (2016) Agent-based approaches for intelligent inter cloud resource allocation. IEEE Trans Cloud Comput PP(99):2168–7161
Chase J, Niyato D (2017) Joint optimization of resource provisioning in cloud computing. IEEE Trans Serv Comput 10(3):396–409
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Rath, M. Resource provision and QoS support with added security for client side applications in cloud computing. Int. j. inf. tecnol. 11, 357–364 (2019). https://doi.org/10.1007/s41870-017-0059-y
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DOI: https://doi.org/10.1007/s41870-017-0059-y