Abstract
We focus on a cloud computing environment by using open source software such as OpenStack and Eucalyptus because of the unification management of data and low cost. A cloud computing is attracting attention as a network service to share the computing resources, i.e., networks, servers, storage, applications, and services. We propose jump diffusion models based on stochastic differential equations in order to consider the interesting aspect of the provisioning process. In particular, we propose an estimation method of the network traffic density in the cloud computing. Also, we analyze actual data to show numerical illustrations of application of the reliability-oriented network management considering the characteristics of cloud computing.
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References
Arnold, L. (1974). Stochastic differential equations—Theory and applications. New York: Wiley.
E-Soft Inc., Internet Research Reports. http://www.securityspace.com/s_survey/data/.
Fujiwara, T., & Yamada, S. (2000). A testing-domain dependent software reliability growth model for practical application. In Proceedings of the second world congress for software quality (pp. 821–826).
Holland, J. H. (1992). Adaptation in natural and artificial systems. Cambridge: MIT Press.
Honoré, P. (1998). Pitfalls in estimating jump-diffusion models. Working Paper Series 18, University of Aarhus, School of Business.
Iosup, A., Ostermann, S., Yigitbasi, M. N., Prodan, R., Fahringer, T., & Epema, D. H. J. (2011). Performance analysis of cloud computing services for many-tasks scientific computing. IEEE Transactions on Parallel and Distributed Systems, 22(6), 931–945.
Karnin, E. D. (1990). A simple procedure for pruning back-propagation trained neural networks. IEEE Transaction on Neural Networks, 1, 239–242.
Karunanithi, N., & Malaiya, Y. K. (1996). Neural networks for software reliability engineering. In M. R. Lyu (Ed.), Handbook of software reliability engineering (pp. 699–728). New York: McGraw-Hill.
Kuk, G. (2006). Strategic interaction and knowledge sharing in the KDE developer mailing list. Informs Journal of Management Science, 52(7), 1031–1042.
Li, P., Shaw, M., Herbsleb, J., Ray, B., & Santhanam, P. (2004). Empirical evaluation of defect projection models for widely-deployed production software systems. In Proceeding of the 12th international symposium on the foundations of software engineering (FSE-12) (pp. 263–272).
MacCormack, A., Rusnak, J., & Baldwin, C. Y. (2006). Exploring the structure of complex software designs: An empirical study of open source and proprietary code. Informs Journal of Management Science, 52(7), 1015–1030.
Manuel, P. (2013). A trust model of cloud computing based on quality of service. Annals of Operations Research. doi:10.1007/s10479-015-1917-2.
Merton, R. C. (1976). Option pricing when underlying stock returns are discontinous. Journal of Financial Economics, 3, 125–144.
Rumyantsev, A., & Morozov, E. (2015). Stability criterion of a multiserver model with simultaneous service. Annals of Operations Research. doi:10.1007/s10479-013-1380-x.
Tamura, Y., Miyahara, H., & Yamada, S. (2012). Reliability analysis based on jump diffusion models for an open source cloud computing. In: Proceedings of the IEEE international conference on industrial engineering and engineering management (pp. 752–756).
The OpenStack project, OpenStack. http://www.openstack.org/.
Wong, E. (1971). Stochastic processes in information and systems. New York: McGraw-Hill.
Yamada, S. (2014). Software reliability modeling: Fundamentals and applications. Heidelberg: Springer.
Yamada, S., & Fujiwara, T. (2001). Testing-domain dependent software reliability growth models and their comparisons of goodness-of-fit. International Journal of Reliability, Quality and Safety Engineering, 8(3), 205–218.
Yamada, S., Kimura, M., Tanaka, H., & Osaki, S. (1994). Software reliability measurement and assessment with stochastic differential equations. IEICE Transactions on Fundamentals, E77—-A(1), 109–116.
Yamada, S., & Osaki, S. (1985). Cost-reliability optimal software release policies for software systems. IEEE Transactions on Reliability, R–34(5), 422–424.
Yamada, S., & Osaki, S. (1987). Optimal software release policies with simultaneous cost and reliability requirements. European Journal of Operational Research, 31(1), 46–51.
Yang, B., Tan, F., & Dai, Y.-S. (2011). Performance evaluation of cloud service considering fault recovery. Journal of Supercomputing, 65, 426–444.
Zhoum, Y., & Davis, J. (2005). Open source software reliability model: an empirical approach. In Proceedings of the workshop on open source software engineering (WOSSE) (vol. 30, no. 4, pp. 67–72).
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This work was supported in part by the Telecommunications Advancement Foundation in Japan, and the JSPS KAKENHI Grant Nos. 15K00102 and 25350445 in Japan.
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Tamura, Y., Yamada, S. Reliability computing and management considering the network traffic for a cloud computing. Ann Oper Res 244, 163–176 (2016). https://doi.org/10.1007/s10479-016-2140-5
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DOI: https://doi.org/10.1007/s10479-016-2140-5