Distributed Computer System Resources Control Mechanism Based on Network-Centric Approach

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Author(s)

Zhengbing Hu 1,* Vadym Mukhin 2 Yaroslav Kornaga 2 Yaroslav Lavrenko 2 Oksana Herasymenko 3

1. School of Educational Information Technology, Central China Normal University, No. 152 Louyu Road, 430079, Wuhan, China

2. National Technical University of Ukraine “Kiev Polytechnic Institute”, Pr. Pobedy, 37, 03056, Kiev, Ukraine

3. Taras Shevchenko National University of Kiev, Volodymyrska Street, 64/13, 01601, Kiev, Ukraine

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2017.07.05

Received: 18 Nov. 2016 / Revised: 20 Feb. 2017 / Accepted: 23 Apr. 2017 / Published: 8 Jul. 2017

Index Terms

Distributed computer system, resource control system, decentralized resource control, tasks scheduling, network-centric approach

Abstract

In this paper, we present the development of a decentralized mechanism for the resources control in a distributed computer system based on a network-centric approach. Intially, the network-centric approach was proposed for the military purposes, and now its principles are successfully introduced in the other applications of the complex systems control. Due to the features of control systems based on the network-centric approach, namely adding the horizontal links between components of the same level, adding the general knowledge control in the system, etc., there are new properties and characteristics. The concept of implementing of resource control module for a distributed computer system based on a network-centric approach is proposed in this study. We, basing on this concept, realized the resource control module and perform the analysis of its operation parameters in compare with resource control modules implemented on the hierarchical approach and on the decentralized approach with the creation of the communities of the computing resources. The experiments showed the advantages of the proposed mechanism for resources control in compare with the control mechanisms based on the hierarchical and decentralized approaches.

Cite This Paper

Zhengbing Hu, Vadym Mukhin, Yaroslav Kornaga, Yaroslav Lavrenko, Oksana Herasymenko,"Distributed Computer System Resources Control Mechanism Based on Network-Centric Approach", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.7, pp.41-51, 2017. DOI:10.5815/ijisa.2017.07.05

Reference

[1]Z. Hu, V. Mukhin, O. Barabash, Y. Kornaga, O. Herasymenko, «Analytical Assessment of Security Level of Distributed and Scalable Computer Systems», Int. J. of Intelligent Syst. and Applicat., vol. 8, no. 12, p. 57 – 64, Dec. 2016. doi: 10.5815/ijisa.2016.12.07.
[2]V.Mukhin, “Adaptive approach to safety control and security system modification in computer systems and networks“ , Proc. of the 5th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2009. Rende (Cosenza), Italy, 21 -23 Sept. 2009, pp.212–217.
[3]H. Hussain, S. Ur R. Malik, A. Hameed, S. Ullah Khan, G. Bickler, N. Min-Allah, M. B. Qureshi, L. Zhang, W. Yongji, N. Ghani, J. Kolodziej, A. Y. Zomaya, Ch.-Zh. Xu, P. Balaji, A. Vishnu, F. Pinel, J. E. Pecero, D. Kliazovich, P. Bouvry, H. Li, L. Wang, D. Chen and A. Rayes, “Survey on Resource Allocation in High Performance Distributed Computing Systems”, Parallel Computing, vol. 39, issue 11, pp.709-736, 2013.
[4]M. B. Qureshi, M. M. Dehnavi, N. Min-Allah, M.S. Qureshi, H. Hussain, I. Rentifis, N. Tziritas, T. Loukopoulos, S. U. Khan, Ch.-Zh. Xu and A. Y. Zomaya, “Survey on Grid Resource Allocation Mechanisms”, Journal of Grid Computing, vol. 12, issue 2, pp.399-441, 2014.
[5]S. P. Singh, S. Ch. Sharma, "A Particle Swarm Optimization Approach for Energy Efficient Clustering in Wireless Sensor Networks", International Journal of Intelligent Systems and Applications(IJISA), vol.9, no.6, pp.66-74, 2017. doi: 10.5815/ijisa.2017.06.07.
[6]Y. Zhu and L. M. Ni, A Survey on Grid Scheduling Systems [Online] , Technical Report SJTU_CS_TR_200309001, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 2013, 41p. Available at: http://www.cs.sjtu.edu.cn/~yzhu/reports/SJTU_CS_TR_200309001.pdf. (last access date 09.06.2017).
[7]D. P. Vidyarthi, B. K. Sarker, A. K. Tripathi and L. T. Yang, Scheduling in Distributed Computing Systems: Analysis, Design & Models (A Research Monography), Springer Science+Business Media: LLC, USA, 2009, 302p.
[8]Bh. V. Chawda, J. M. Patel, "Investigating Performance of Various Natural Computing Algorithms", International Journal of Intelligent Systems and Applications(IJISA), vol.9, no.1, pp.46-59, 2017. doi: 10.5815/ijisa.2017.01.05.
[9]M. Rahman, R. Ranjan, R. Buyya, “Decentralization in Distributed Systems: Challenges, Technologies, and Opportunities”, in Advancements in Distributed Computing and Internet Technologies: Trends and Issues, A.-S. K. Pathan, M. Pathan and H. Y. Lee, Eds. Information Science Reference (an imprint of IGI Global), USA, 2012, pp.386-399.
[10]P.-O. Östberg, D. Espling and E. Elmroth, “Decentralized Scalable Fairshare Scheduling”, Future Generation Computer Systems, vol. 29, issue 1, pp.130-143, 2013. doi:10.1016/j.future.2012.06.001.
[11]Y. Huang, N. Bessis, P. Norringtonb, P. Kuonend and B. Hirsbrunner, “Exploring Decentralized Dynamic Scheduling for Grids and Clouds Using the Community-aware Scheduling Algorithm”, Future Generation Computer Systems, vol. 29, issue 1, pp.402-415, 2013. doi:10.1016/j.future.2011.05.006.
[12]A. Kalyaev and Ia. Korovin, “Adaptive Multiagent Organization of the Distributed Computations”, AASRI Procedia 6, p.49-58, May 2014, doi:10.1016/j.aasri.2014.05.008.
[13]D. S. Alberts, J. J. Garstka and F. P. Stein, Network Centric Warfare: Developing and Leveraging Information Superiority, 2nd Edition (Revised), CCRP publication series, 1999, 294p.
[14]V. Muliukha, A. Ilyashenko, V. Zaborovsky and A. Lukashin, “Cyber-physical approach to the network-centric robotics control task”, AIP Conference Proceedings, 2016, 4p. doi: 10.1063/1.4965420.
[15]S. R. Ditmeyer, Network-centric Railway Operations: Utilizing Intelligent Railway Systems [Online], Journal of Transportation Law, Logistics and Policy, vol. 77, number 3, 28p., 2010. Available at: http://www.transportation.northwestern.edu/docs/2011/2011.03.15.Ditmeyer_Paper.pdf. (last access date 09.06.2017).
[16]R. Buyya and M. Murshed, “GridSim: A Toolkit for the Modeling and Simulation of Distributed Resource Management and Scheduling for Grid Computing” [Online], The Journal of Concurrency and Computation: Practice and Experience (CCPE). – Wiley Press, 37p., 2002. Available at: http://arxiv.org/abs/cs/0203019. (last access date 09.06.2017).