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Analysis of performance bottleneck of P2P grid applications

References ANDRADE, N., AND COSTA, L., AND GERMOGLIO, G., AND CIRNE, W. 2005. Peer-to-peer Grid Computing with the OurGrid Community. In Proceedings of the SBRC, 2005. CALHEIROS, N., AND FERRETO, AND T., ROSE, C. D. 2008. Scheduling anf management of virtual resources in grid sites: the site resource scheduler. In Parallel Processing Letters, 2008. FOSTER, I., AND KESSELMAN, C., AND TUECKE, S. 2001. The anatomy of the grid: Enabling scalable virtual organizations. In International Journal of High Performance

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Performance improvement of using lambda expressions with new features of Java 8 vs. other possible variants of iterating over ArrayList in Java

. Lambda Expressions in Java. [online]. [cit. 2017-03-10]. Available on internet: ⟨ http://www.angelikalanger.com/Lambdas/Lambdas.pdf ⟩. LANGER, A., 2015. Java performance tutorial — How fast are the Java 8 streams? [online]. [cit. 2017-03-10]. Available on internet: ⟨ https://jaxenter.com/java-performance-tutorial-how-fast-are-the-java-8-streams-118830.html ⟩. SCHILDT, H., 2014. Java 8 eSampler. Preview exclusive excerpts from brand-new and forthcoming Oracle Press Java JDK 8 books. Oracle Press. © 2014 McGraw-Hill Education. [online]. [cit. 2017

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Performance Evaluations of IPTables Firewall Solutions under DDoS attacks

HOSŤOVECKÝ, M. IPv6 Network DDoS Attack with P2P Grid. In: Creativity in Intelligent, Technologies and Data Science. Springer International Publishing, 2015, pp. 407-415. SIMON, M., HURAJ, L., and SILÁDI, V. Analysis of performance bottleneck of P2P grid applications. Journal of Applied Mathematics, Statistics and Informatics, 9(2), 2013, 5-11. SINGH, S., and GYANCHANDANI, M. Analysis of Botnet behavior using Queuing theory. International Journal of Computer Science & Communication 1.2, 2010, 239-241. VARALAKSHMI, P., and THAMARAI SELVI, S. Thwarting DDoS

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Feasible Generalized Stein-Rule Restricted Ridge Regression Estimators

. 1, Univ. of Calif. Press, 361-379, Berkeley. Kaçıranlar, S., Sakallıoğlu, S., Özkale, M.R. and Güler, H. (2011). More On the Restricted Ridge Regression Estimation. J. Stat. Comput. Simul. 81 (11): 1433-1448. Kibria, B.M.G. (2003). Performance of Some New Ridge Regression Estimators.Comm. Statist. Simul.Comput. 32 (2): 419-435. Kumar, M., Mishra, N. and Gupta, R. (2008).Predictive Performance of the Improved Estimators with Exact Restrictions in Linear Regression Models.Amer. J. Math. Management Sci. 28: 419

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A Way for Low Ranking Matrices and its Stochastic Computations Using Monte Carlo Method

Abstract

We present approximation theory of matrices based on its low ranking and stochastic computation. Finally, based on our introduced algorithm, we show the performance of these approximations to evaluate the desired results.

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Evaluation of Continuous Sampling Plan (CSP-5) Parameters Using GERT Technique and MATLAB

Abstract

In this paper, we have designed the Continuous sampling plan (CSP-5) plan using GERT analysis and the software package MATLAB 2007b. The formula for finding the performance parameters such as AOQ, E(I) and the parameters i and f are found out by GERT technique and developing program for the construction of table values and plotting graph using MATLAB.

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An Improved Family of Estimators of Finite Population Mean Using Information on an Auxiliary Variable in Sample Surveys

Abstract

In this paper we have suggested a family of estimators of the population mean using auxiliary information in sample surveys. The bias and mean squared error of the proposed class of estimators have been obtained under large sample approximation. We have derived the conditions for the parameters under which the proposed class of estimators has smaller mean squared error than the sample mean, ratio, product, regression estimator and the two parameter ratio-product-ratio estimators envisaged by Chami et al (2012). An empirical study is carried out to demonstrate the performance of the proposed class of estimators over other existing estimators.

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Use of power transformation for estimating the population mean in presence of non-response in successive sampling

Abstract

This paper addresses the problem of estimating the population mean at the current occasion in two occasion successive sampling when non-response occurs on the current (second) occasions. Using the power transformation we have suggested classes of estimators of current population mean and their properties are studied. Optimum replacement strategies for the proposed estimators have been given and empirical studies are carried out to assess the performance of estimators. We have made suitable recommendation to the practitioners on the basis of the empirical study.

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LARGE Estimation of the stress-strength reliability of progressively censored inverted exponentiated Rayleigh distributions

Abstract

Based on progressively Type-II censored samples, this paper deals with the estimation of R = P(X < Y) when X and Y come from two independent inverted exponentiated rayleigh distributions with different shape parameters, but having the same scale parameter. The maximum likelihood estimator and UMVUE of R is obtained. Different confidence intervals are presented. The Bayes estimator of R and the corresponding credible interval using the Gibbs sampling technique are also proposed. Monte Carlo simulations are performed to compare the performances of the different methods. One illustrative example is provided to demonstrate the application of the proposed method.

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Successive sampling strategy under non response

Abstract

The present work is an attempt to study the effect of non-response at both occasions in search of good successive (rotation) sampling over two occasions. A chain-type ratio and regression estimator has been proposed for estimating the population mean at current occasion in presence of non-response at both the occasion in two-occasion successive (rotation) sampling. Detail behaviors of proposed estimators have been studied. Proposed estimators are compared with the estimators for the same situations but in the absence of non-response. Performances of the proposed estimators have been demonstrated via empirical studies.

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