The Structural-Functional Synthesis of IoT Service Delivery Systems by Performance and Availability Criteria
DOI: 10.23977/iotea.2017.21001 | Downloads: 40 | Views: 3149
Ivan Demydov 1, Yulia Klymash 1, Mykola Brych 1, Mykhailo Klymash 1
1 Department of Telecommunications, Lviv Polytechnic National University, Lviv, Ukraine
Corresponding AuthorIvan Demydov
This paper is devoted to the quantitative investigation of the availability of cloud service systems. In this paper we calculate the criteria and constraints of a distributed service platform such as availability and system performance index variations by defined set of the main parameters. We analyze the calculation results to enable optimal synthesis of distributed service platforms based on the cloud service-oriented architecture. The method of synthesis has been numerically generalized considering the type of service workload. We used Hurst parameter to statistically evaluate each integrated service that requires implementation within the service delivery platform. The latter is synthesized by structural matching of virtual machines using combination of elementary service components. According to Amdahl's Law the clustering of cloud-networks allows to break the complex dynamic network into separate segments that simplifies access to the resources of virtual machines. This in turn simplifies complex topological structure, enhancing the overall system performance. The proposed approaches and obtained results allow to numerically justify and algorithmically describe the process of structural and functional synthesis of efficient distributed service platforms. These platforms through dynamic configuring and exploitation provide an opportunity to create the dynamic environment in terms of comprehensive services range and significant user workload fluctuation.
KEYWORDSSDP, structural-functional Synthesis, cloud computing, distributed service platforms.
CITE THIS PAPER
Ivan, D. , Yulia, K. , Mykola, B. and Mykhailo K. The Structural-Functional Synthesis of IoT Service Delivery Systems by Performance and Availability Criteria. Internet of Things (IoT) and Engineering Applications (2017) 2: 1-13.
 N. Kryvinska and C. Strauss. Conceptual model of business services availability vs interoperability on collaborative IOT-enabled e-business platforms. In Internet of Things and Intercooperative Computational Technologies for Collective Intelligence, pages 167–187. Springer, 2013.
 N. Kryvinska and C. Strauss. Next Generation Networks: Service Delivery and Management. Peter Lang, 2011.
 W. F. Witt III. Keep your feet on the ground when moving software into the cloud. International Journal of Digital Content Technology and its Applications, 4(2):10–17, 2010.
 I. Demydov, M. Klymash, Z. Kharkhalis, and B. Strykhalyuk. The research of the availability at cloud service systems. In International Conference on Radio Electron- ICS & Info Communications (UkrMiCo), pages 438–442. IEEE, 2016.
 I. Demydov, M. Klymash, N. Kryvinska, and C. Strauss. Enterprise distributed service platform–network architecture and topology optimization. International Journal of Space-Based and Situated Computing, 2(1):23–30, 2012.
 I. Demydov, O. Lavriv, Yu. Dobush, B. Buhyl, and M.Klymash. Analysis of service workﬂows distribution and service delivery platform parameters. International Journal of Services, Economics and Management, 5(4):280–290, 2013.
 I. A. Ryabinin. The theoretical basics of the marines ships EES design. Naval Academy of USSR, 1964.
 B. G. Volik and I. A. Ryabinin. The effectiveness, reliability and robustness of the controlling systems. Automatics and telemechanics, 12:151–160, 1984.
 V. F. Krapivin. To the theory of complex systems robustness. Moscow: Nauka, 1978.
 V. F. Krapivin. Theoretical and gaming methods of complex systems’ synthesis in the conﬂict situations. Moscow: Sovietskoye radio, 1972.
 I. A. Ryabinin and Cherkesov G. N. Logical and probability methods of the reliability investigations in the structureally complexive systems. Moscow: Radio and Communications, 1981.
 B. G. Volik. Reliability, effectiveness and resillance of the controlling systems. Control systems and their application, Moscow: Institute of control sciences of USSR Academy of Science:23–31, 1985.
 V. A. Guliaev, A. G. Dodonov, and S. P. Peehov. The ressilent organization structures calculation. Kyiv: Naukova dumka, 1982.
 A. G. Dodonov, M. G. Kuznetsova, and E. S. Gorbachyk. An introduction to the system ressilence calculation theory. Kyiv: Naukova dumka, 1990.
 A. G. Dodonov and D. V. Lande. The ressilence of infor- mational systems. Kyiv: Naukova dumka, 2011.
 B. Strykhalyuk, I. Demydov, V. Romanchuk, and M.Beshley. A statistical parameters and characteristics study of informational ﬂows in heterogeneous networks. Scientiﬁc Proc. of Ukrainian Research Institute of Commun, (6):82–92, 2014.
 M. Klymash, O. Lavriv, B. Bugil, and R. Bak. The simulation and provision of the buffer’s utilization in the multi service trafﬁc distribution system using auto stopping technique. Problems of Telecommunications, 2(4):108–117, 2011.
 P. Deshchyskyi, B. Strykhalyuk, and M. Kaidan. Investigation of the network overloading impact to the resilience of the peering system. Herald of Lviv Polytechnic National University, (738): 231–235, 2012.
 G. Amdahl. Validity of the single processor approach to achieving large scale computing capabilities. In Proceedings of the ACM spring joint computer conference, pages 483–485. ACM, 1967.
 I. Demydov, O. Shpur, R. Lutfor, and Yu. Deshchynskyi. The method of improving the availability at cloud service
systems. In International Conference Radio Electronics & Info Communications (UkrMiCo), 2016, pages 1–3. IEEE, 2016.
 P. Deshchyskyi, B. Strykhalyuk, and M. Kaidan. Enhancement of the servicing quality in the converged mobile systems on the basis of UMA-A platform. Problems of Telecommunications, 13(1): 3–19, 2014.
 M. Klymash, B. Strykhalyuk, O. Shpur, and M. Beshley. The model of services providing on the basis of cloud-system logical structure adaptation method. Scientiﬁc Proceedings of Ukrainian Communication Research Institute, (5): 3, 2014.
 M. Beshley, M. Klymash, B. Strykhalyuk, O. Shpur, B.Bugil, and I. Kagalo. Soa quality management subsystem on the basis of load balancing method using fuzzy sets. International Journal of Computer Science and Software Engineering (IJCSSE), 4(1):10–21, 2015.
 M. Klymash and B. Buhyl. The common optimization technique for telecommunication network structures by the criterion of its resources distribution effectiveness. Information processing systems, (7): 72–78, 2013.
 P. Barham, B Dragovic, K. Fraser, S. Hand, T Harris, A.Ho, R Neugebauer, I. Pratt, and A. Warﬁeld. Xen and the art of virtualization. In ACM SIGOPS operating systems review, volume 37, pages 164–177. ACM, 2003.
 I. Demydov, M. El Hatri, and O. Shpur. Dynamic correction of routing metrics by pervasive structural routing in the scalable distributed service networks. In Second International Scientiﬁc-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T 2015), pages 164–166. IEEE, 2015.
 I. Demydov, B. Strykhalyuk, O. Shpur, M. El Hatri, and Yu. Klymash. The structural-functional synthesis of cloud service delivery platform after service availability and performance criteria. Information processing systems, (1):144–159, 2015.
 I. Demydov, B. Strykhalyuk, and M. Klymash. The holographic network analysis. In IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom’2014), pages 66–68. IEEE, 2014.
 M. Klymash, I. Demydov, M. El Hatri, and Yu. Deshchynskiy. The investigation of the availability at cloud service systems. Herald of Lviv Polytechnic National University, (849): 218–228, 2016.
 B. Strykhalyuk, Z. Kharkhalis, and I. Demydov. The structural and functional optimization of virtual machines migration processes at distributed datacenters. Computer Technologies of Printing: Scientiﬁc Proceedings, (32): 69– 81, 2014.