Abstract
This paper addresses a stochastic approach based on Semi-Markov Process modeling in order to determine availability level and energy performance for Infrastructure as a Service (IaaS) Cloud. It is generally agreed today that Cloud Service Providers try to offer diverse IT services, using large number of physical machines (PMs). It really is created serious energy performance issue for cloud computing systems. In this situation we also propose to use information of Technical and Information State Control System in order to improve monitoring process for IaaS Cloud. Therefore, main part of the efforts has been devoted to the development of a monolithic Semi-Markov Availability model for IaaS Cloud and the evaluation power consumption for non-failed, that is available PMs. Semi-Markov Availability model for the cloud infrastructure considering sudden failures of physical and virtual machines are considered, too. Mathematical modeling results will be present in order to give certain clarifications on the possible use of approach suggested.
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References
Joshi, P.R., Islam, S., Islam, S.: A framework for cloud based E-government from the perspective of developing countries. Future Internet 9(4), 80 (2017)
Ghosh, R., Longo, F., Xia, R., Naik, V.K., Trivedi, K.S.: Stochastic model driven capacity planning for an infrastructure-as-a-service cloud. IEEE Trans. Serv. Comput. 7(4), 667–680 (2014)
Bashir, R.N., Qadri, S., Saleem, R.M., Naeem, M., Ghafoor, Y.: Human computer interaction (HCI) in ubiquitous computing. Int. J. Innov. Appl. Stud. 9(2), 534 (2014)
Nadeem, F.: Ranking grid-sites based on their reliability for successfully executing jobs of given durations. Int. J. Comput. Netw. Inf. Secur. 7(5), 9 (2015)
Kharchenko, V., Illiashenko, O.: Concepts of Green IT Engineering: Taxonomy, Principles and Implementation. In: Kharchenko, V., Kondratenko, Y., Kasprzyk J. (eds.) Green IT Engineering: Concepts, Models, Complex Systems Architectures. Studies in Systems, Decision and Control, vol. 74, pp. 3–19. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-44162-7_1
Ghosh, R.: Scalable stochastic models for Cloud Services. Dissertation, Duke of University (2012)
Kondratenko, Y., Korobko, O., Kozlov, O.: PLC-based systems for data acquisition and supervisory control of environment-friendly energy-saving technologies. In: Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds.) Green IT Engineering: Concepts, Models, Complex Systems Architectures. Studies in Systems, Decision and Control, vol. 74, pp. 247–267. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-44162-7_13
Kondratenko, Y., Korobko, V. Korobko, O., Kondratenko, G., Kozlov, O.: Green-IT approach to design and optimization of thermoacoustic waste heat utilization plant based on soft computing. In: Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds.) Green IT Engineering: Components, Networks and Systems Implementation. Studies in Systems, Decision and Control, vol. 105, pp. 287–311. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55595-9_14
Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds.) Green IT Engineering: Concepts, Models, Complex Systems Architectures. Studies in Systems, Decision and Control, vol. 74. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-44162-7
Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds.) Green IT Engineering: Components, Networks and Systems Implementation. Studies in Systems, Decision and Control, vol. 105. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55595-9
Ghosh, R., Longo, F., Naik, V.K., Trivedi, K.S.: Quantifying resiliency of IaaS cloud. In: 2010 29th IEEE Symposium on Reliable Distributed Systems, pp. 343–347, Oct 2010
Ghosh, R., Longo, F., Frattini, F., Russo, S., Trivedi, K.S.: Scalable analytics for IaaS cloud availability. IEEE Trans. Cloud Comput. 2(1), 57–70 (2014)
Bolch, G., Greiner, S., de Meer, H., Trivedi, K.S.: Queuing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications, 878 p. Wiley, New York (2006)
Ghosh, R., Trivedi, K.S., Naik, V.K., Kim, D.S.: End-to-end performability analysis for infrastructure-as-a-service cloud: An interacting stochastic models approach. In: 2010 IEEE 16th Pacific Rim International Symposium on Dependable Computing (PRDC), pp. 125–132, Dec 2010
Ghosh, R., Longo, F., Naik, V.K., Trivedi, K.S.: Modeling and performance analysis of large scale IaaS clouds. Future Gener. Comput. Syst. 29(5), 1216–1234 (2013)
Matos, R., Araujo, J., Oliveira, D., Maciel, P., Trivedi, K.S.: Sensitivity analysis of a hierarchical model of mobile cloud computing. Simul. Model. Pract. Theory 50, 151–164 (2015)
Vinayk, R., Dharmaraja, S.: Semi-Markov modeling approach for deteriorating systems with preventive maintenance. Int. J. Perform. Eng. 8(5), 515–526 (2012)
Distefano, S., Trivedi, K.S.: Non-Markovian state-space models in dependability evaluation. Qual. Reliab. Eng. Int. 29(2), 225–239 (2013)
Ivanchenko, O., Kharchenko, V., Ponochovny, Y., Blindyuk, I., Smoktii, O.: Semi-Markov availability model for an infrastructure as a service cloud considering hidden failures of physical machines. ICTERI 1844, 634–644 (2017)
Li, X., Chang, X., Board, J.A., Trivedi, K.S.: A novel approach for software vulnerability classification. In: 2017 Annual of Reliability and Maintainability Symposium (RAMS), pp. 1–7, Jan 2017
Xie, W., Hong, Y., Trivedi, K.S.: Analysis of a two-level software rejuvenation policy. Reliab. Eng. Syst. Saf. 87(1), 13–22 (2005)
Volkov, L.: Control of Air Complexes Operation, 368 p. High Education, Moscow (1981)
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Ivanchenko, O., Kharchenko, V., Moroz, B., Kabak, L., Blindyuk, I., Smoktii, K. (2019). Semi-Markov Availability Model for Infrastructure as a Service Cloud Considering Energy Performance. In: Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds) Green IT Engineering: Social, Business and Industrial Applications. Studies in Systems, Decision and Control, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-030-00253-4_7
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