Open Access Open Access  Restricted Access Subscription or Fee Access

Models for Analysis and Prognostication of the Indicators of the Distributed Computer Systems’ Characteristics


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecos.v10i12.8023

Abstract


This paper proposes the model of evaluation of the data transfer rate within the distributed computer systems (DCS) based on the fractal-regression mechanism and the models of evaluation of the DCS' indicators of reliability and security based on the fractal approach and with the use of the multi-factors membership functions. It has been shown that the DCS' topology is based on fractoids: the nodes or the local clusters. Moreover it is characterized by fractal properties. With the suggested models the main indicators of the computer system' characteristics are the data transfer rate in the network, the reliability, the level of security calculated for a fractoid. Next, these main parameters are calculated for the DCS' full topology with the use of the fractal approach.
Copyright © 2015 Praise Worthy Prize - All rights reserved.

Keywords


Distributed Computing; Parameter Estimation; Predictive Models; Fractals

Full Text:

PDF


References


Quality management systems — Guidelines for performance improvements (ISO/FDIS 9004:2000(E)). http://niits.ru/public/2003/067.pdf

A. Menychtas, D. Kyriazis, K. Tserpes, Real-time configuration for guaranteeing QoS provisioning levels in Grid environments, Future Generation Computer Systems, Volume 25, Issue 7, July 2009, pp. 779–784, Elsevier.
http://dx.doi.org/10.1016/j.future.2008.11.001

End-to-end quality of service support over heterogeneous networks (Project description: European Community Research and Development Information Service). http://cordis.europa.eu/project/rcn/71874_en.pdf

F. Ricciardi, QoS and Traffic Shaping in Transparent Bridge mode Router/Bridge Linux Firewall website. ZeroShell Net Services. http://www.zeroshell.org/qos/

D. Kyriazis, K. Tserpes, A. Menychtas, A. Litke, T. Varvarigou, An innovative Workflow Mapping Mechanism for Grids in the frame of Quality of Service, Elsevier Future Generation Computer Systems, Vol. 24, Iss. 6, pp. 498-511, 2008.
http://dx.doi.org/10.1016/j.future.2007.07.009

Z. Shi, C. Beard, K. Mitchell, Analytical Models for Understanding Misbehavior and MAC Friendliness in CSMA Networks, Performance Evaluation, 66 (9–10): 469, 2009.
http://dx.doi.org/10.1016/j.peva.2009.02.002

R. Guimaraes, L. Cerdà, J. Barcelo-Ordinas, J. Garcia-Vidal, M. Voorhaen, C. Blondi, Quality of Service through Bandwidth Reservation on Multirate Ad-doc Wireless Networks, Ad Hoc Networks Journal (Elsevier), Vol. 7, Issue 2 7 (2), 388–400, March 2009.
http://dx.doi.org/10.1016/j.adhoc.2008.04.002

Kakanakov, N.R., Evaluating the delays in local controller networks, (2013) International Review on Computers and Software (IRECOS), 8 (1), pp. 307-312.

Rhattoy, A., Zatni, A., Performance evaluation of OLSR and AODV routing protocols in VANETs urban area, (2013) International Review on Computers and Software (IRECOS), 8 (7), pp. 1711-1717.

Dimassi, S., Ben Abdelali, A., Mrabet, A., Krifa, M.N., Mtibaa, A., A modeling tool for dynamically reconfigurable systems, (2014) International Review on Computers and Software (IRECOS), 9 (4), pp. 600-608.

Amali, C., Jayaprakash, D., Ramachandran, B., Optimized network selection using aggregate utility function in heterogeneous wireless networks, (2014) International Review on Computers and Software (IRECOS), 9 (7), pp. 1293-1301.

Kalai Kumar, K., Baburaj, E., Performance analysis of cross layer communication in wireless sensor network to improve throughput and utility maximization, (2013) International Review on Computers and Software (IRECOS), 8 (11), pp. 2634-2641.

Venkataraman, R., Pushpalatha, M., Sornalakshmi, K., Performance analysis of MAC schemes in wireless sensor networks, (2013) International Review on Computers and Software (IRECOS), 8 (12), pp. 2831-2836.

J. M. Wooldridge, Introductory Econometrics: A Modern Approach. 4th ed. (Mason, Ohio: South-Western, Cengage Learning, 882 p., 2009).

B. E. Hansen, Econometrics (University of Wisconsin. Department of Economics. 2014). www.ssc.wisc.edu/~bhansen/econometrics/Econometrics.pdf

J. H. Stockand, M. W. Watson, Introduction to Econometrics (3rd edition, Addison-Wesley. 2010). http://www.ssc.upenn.edu/~fdiebold/Teaching104/Ch1-7_slides.pdf

F. E. Jr. Harrell, Regression modeling strategies Vanderbilt University School of Medicine Nashville USA. http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RmS/rms.pdf

D. Campbell, and S. Campbell, Introduction to Regression and Data Analysis. statlab.stat.yale.edu/workshops/IntroRegression/StatLab-IntroRegressionFa08.pdf

P. J. K. Vaswani, M. J. Thazhuthaveetil, Construction and Use of Linear Regression Models for Processor Performance Analysis Indian Institute of Science, Bangalore, India. research.microsoft.com/pubs/78341/construction%20and%20use%20of%20linear%20regression%20models%20for%20processor%20performance%20analysis.pdf

S. Yalamanchili, Switching Techniques. users.ece.gatech.edu/~sudha/academic/class/Networks/Lectures/3%20-%20Switching%20Techniques/papers/paper.switching.pdf

R. Albert, A.-L. Barabasi, Statistical mechanics of complex networks Review of Modern Physics, Vol. 74, 2002. www.barabasilab.com/pubs/CCNR-ALB_Publications/200201-30_RevModernPhys-StatisticalMech/200201-30_RevModernPhys-StatisticalMech.pdf

J. Feder, Fractals (Plenum Press, 283 p., 1989).

E. Gerald, Classics on Fractals (Boulder, CO: Westview Press, 2004).
http://dx.doi.org/10.1086/423604

L. Zou, W. Pei, T. Li, Zh. He, Topological fractal networks introduced by mixed degree distribution Department of Radio Engineering, Southeast University, Nanjing, China. cds.cern.ch/record/1003516/files/0612056.pdf

M. E. Montiel, A. S. Aguado, E. D. Zaluska, Topology in Fractals Electronics and Computer Science, University of Southampton, Highfield, Southampton, UK. citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.104.436&rep=rep1&type=pdf

Baskaran, P., Chelliah, B.J., Multi criteria decision making for n-dimensional vertical partitions, (2015) International Review on Computers and Software (IRECOS), 10 (3), pp. 324-331.
http://dx.doi.org/10.15866/irecos.v10i3.5705

J. Branke, K. Deb, K. Miettinen, R. Slowinski, Multiobjective Optimization: Interactive and Evolutionary Approaches (Lecture Notes in Computer Science) (Springer. 2008). www.springer.com/computer/swe/book/978-3-540-88907-6
http://dx.doi.org/10.1007/978-3-540-88908-3

A. Osyzka, Multicriteria optimization for engineering design (Design Optimization (Academic Press), 1990).
http://dx.doi.org/10.1007/978-3-642-48697-5_4

J. J. Moder, S. E. Elmaghraby, Handbook of Operations Research: Foundations and Fundamentals (Van Nost. Reinhold, April 1978).

R. B. Statnikov, Multicriteria Design. Optimization and Identification (Dordrecht, Boston, London: Kluwer Academic Publisher, 1999).

Yu. K. Prokhorov, Management Decisions (2nd Ed. Saint-Peterburg, ITMO, 136 p., 2011).


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize