Abstract
Cloud computing is a reasonably distributed computing with heterogeneous computational resources. Resource sharing, convenience of the resources that correspond to the needs and a lot of box-management issues facing the cloud are considered. In this paper, analysis and comparison of various existing algorithms of service brokers and load equalizing algorithms in cloud computing is presented. To check the implementation of existing algorithms, various modeling tools were developed, for instance, the Cloud Analyst. Performance of the present policies of service brokers is compared by considering the total response time and execution time in a data center.
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Calherios, R.N., Wickremasinghe, B.: Cloud Analyst: a cloud-sim-based visual modeler for analyzing cloud computing environments and applications. In: Proceedings of IEEE International Conference on Advance Information Networking and Applications (2010)
Desyatirikova, E.N., Almothana, K., Osama, A.: Load balancing in cloud computing using genetic algorithm. In: XVIII International Scientific and Methodological Conference “Informatics: Problems, Methodology, Technology”, 8–9 February 2018, Voronezh, Russia (2018)
Volkova, V.N., Loginova, A.V., Shirokova, S.V., Iakovleva, E.A.: Models for the study of the priorities of innovative companies. In: Proceedings of the 19th International Conference on Soft Computing and Measurements, SCM 2016, pp. 515–517. IEEE, St. Petersburg, Russia (2016)
Klochkov, Y., Klochkova, E., Antipova, O., Kiyatkina, E., Vasilieva, I., Knyazkina, E.: Model of database design in the conditions of limited resources. In: ICRITO, Noida, India, pp. 64–66 (2016)
Desyatirikova, E.N., Moussa, H., Almothana, K., Osama, A.: Load balancing in cloud computing. Syst. Anal. Inf. Tech. 3, 103–109 (2017). Vestnik Voronezh State University
Wickremasinghe, B.: CloudAnalyst: a CloudSim-based tool for modelling and analysis of large scale cloud computing environments. MEDC Project Report, University of Melbourne, Australia (2009)
Tordsson, J., Montero, R.S., Vozmediano, R.M., Llorente, I.M.: Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers. Future Gener. Comput. Syst. 28(2), 358–367 (2011)
Volkova, V.N., Chernenkaya, L.V., Desyatirikova, E.N., Moussa, H., Almothana, K., Osama, A.: Load balancing in cloud computing. In: Proceedings of 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (2018 ElConRus), St. Petersburg and Moscow, Russia, pp. 397–400 (2018)
Dash, M., Mahapatra, A., Ranjan, N.: Cost effective selection of data center in cloud environment. Int. J. Adv. Comput. Theory Eng. (IJACTE) (2013). ISSSN 2319–2526
Algazinov, E.K., Desyatirikova, E.N., Almothana, K.: Performance analysis of the cloud service broker algorithm. In: International Scientific Conference, St. Petersburg, Russia (2018)
Zhao, W., Peng, Y., Xie, F., Dai, Z.: Modeling and simulation of cloud computing: a review. In: IEEE Asia Pacific Cloud Computing Congress (APCloudCC), pp. 20–24 (2012)
Limbani, D., Oza, B.: A proposed service broker strategy in cloud analyst for cost-effective data center selection. Int. J. Eng. Res. 2(1), 793–797 (2012)
Desyatirikova, E.N., Almothana, K., Osama, A.: Scheduling approach for virtual machine resources in a cloud computing. In: XIX International Conference “Informatics: Problems, Methodology, Technology” (IPMT-2019), Voronezh, Russia (2019)
Shah, M.M.D., Kariyani, M.A.A., Agrawal, M.D.L.: Allocation of virtual machines in cloud computing using load balancing algorithm. Int. J. Comput. Sci. Inf. Technol. Secur. (lJCSlTS) (2013)
Dinh, H.T., Lee, C., Niyato, D., Wang, P.: A survey of mobile cloud computing: architecture, applications, and approaches. Wirel. Commun. Mob. Comput. 13(18), 1587–1611 (2013)
Rani, P., Chauhan, R., Chauhan, R.: An enhancement in service broker policy for cloud-analyst. Int. J. Comput. Appl. 115(12), 5–8 (2015)
Rekha, P.M., Dakshayini, M.: Cost based data center selection policy for large scale networks. In: ICCPEIC, 2014 International Conference (2014)
Arora, V., Tyagi, S.S.: Performance evaluation of load balancing policies across virtual machines in a data center. In: ICROIT, 2014 International Conference on the Optimization, Reliability, and Information Technology (2014)
Ranbhise, S.M., Joshi, K.K.: Simulation and analysis of cloud environment. IJARCST 2(4), 2347–9817 (2014)
Mishra, R., Jaiswal, A.: Ant colony optimization: a solution of load balancing in cloud. Int. J. Web Semant. Technol. (IJWesT) 3(2), 33–50 (2012)
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Desyatirikova, E.N., Khodar, A., Rechinskiy, A.V., Chernenkaya, L.V., Alkhayat, I. (2020). Performance Analysis of Available Service Broker Algorithms in Cloud Analyst. In: Arseniev, D., Overmeyer, L., Kälviäinen, H., Katalinić, B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-34983-7_44
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DOI: https://doi.org/10.1007/978-3-030-34983-7_44
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