Network performance analysis using the j programming language pdf

Alan holt is chief technical officer at the network consultancy company ip performance ltd. Softwaredefined networking sdn is an emerging network architecture that is adaptable, dynamic, costeffective, and manageable. The functional programming paradigm involves means for reliably deriving programs, analysis of programs, and proofs of program correctness. J is written in portable c and is available for windows, linux, mac, ios, android and raspberry pi. Data crunching requires proper tools and powerful analysis. Concurrent network programming is traditionally performed using lowlevel os mechanisms,e. Julia was designed from the beginning for high performance. We are going to discuss the need of using a programming language in data analysis and list some of the characteristics of these two languages. Network performance analysis using the j programming. Network performance analysis bonald wiley online library. However, when you have to manipulatemingle data j can be easier to handle and it will become much, much easier as you get more skilled in j programming. The goal is that each processing element be kept as busy as possible doing useful work. Iverson and roger hui, is an array programming language based primarily on apl also by iverson to avoid repeating the apl specialcharacter problem, j uses only the basic ascii character set, resorting to the use of the dot and colon as inflections to form short words similar to digraphs.

The core tools of this analysis are probability based. Network measurement and performance analysis at server. Dynamic neural network toolkit, a toolkit based on a uni ed declaration and execution programming model which we call dynamic declaration. The j programming language, developed in the early 1990s by kenneth e. This book brings network calculus closer to the network professional and will also have real appeal for postgraduates studying network performance. In contrast, r is a comprehensive, open source, platformindependent, freely available programming language, and it has a massive, worldwide user and contributor base. Using uml models for the performance analysis of network.

There is a cost d ij and demand w ij for serving customer i from facility j. The marking of a petri net can be modified by the firing of transitions. Tuning of pid controllers based on gain and phase margin specifications using fuzzy neural network. What are the best libraries in any language for doing. Performance programming seeks to improve performance beyond what is achieved by programming an algorithm in the most expedient manner. It started out as a matrix programming language where linear algebra programming was simple. A licence is granted for personal study and classroom use. Free computer algorithm books download ebooks online. A novel router software architecture supporting reconfiguration. Which is the best language for network programming. Giving learners equal access to the information and tools they need at no extra cost gives them the best opportunity to engage and progress. Local and global computer networks are the basis of the communication infrastructure of modern society. Im reasonably familiar with matlab so using an arraybased programming language wouldnt constitute a tremendous paradigm shift. Fundamentals of the j programming language springerlink.

Browse our product catalogue and lecturer resources. A performance analysis for evaluation of programming languages. It takes a network file as input, calculates a variety of centralities and topological metrics, clusters nodes into modules, and displays the network using different graph layout algorithms. He is author of the popular springer text network performance analysis.

Description course work and grading schedule and lecture notes problem sets supplemental readings. However, you can have both worlds using r interfaces in j. Efficient estimation of mutual information for strongly dependent variables gao15. We calculate, how does the time or space taken by an algorithm increases with the input size. We present sbetoolbox systems biology and evolution toolbox, an opensource matlab toolbox for biological network analysis. It builds a bridge between mathematics theory and the practical use of computers in the field of network performance analysis. Network programming network applications are everywhere. Its not really possible to give a definitive answer without knowing what you want to achieve. Introduces concepts and principles of network performance analysis by example, using the j programming language.

A working knowledge of r is an important skill for anyone who is interested in performing most types of data analysis. Introduction to modeling optimization problems in python. So practically speaking, j almost definitely shouldnt be the next language i learn. J is rich in mathematical functionality, which makes it an ideal. We introduce some of js builtin functions and show how they can be applied to data objects. This book develops functions in j to demonstrate mathematical concepts, thereby enabling readers to explore the underlying principles behind network performance analysis. You shouldnt overuse forloops either in j or r, though. Pdf network performance analysis using the j programming. Julia is dynamicallytyped, feels like a scripting language, and has good support for interactive use.

In this chapter, we present the basic concepts of j. J is rich in mathematical functionality, which makes it an ideal tool for analytical methods. Network analysis and modeling csci 5352, fall 2017 time. The sdn architecture is a form of network virtualization where the network controlling functions and forwarding functions are decoupled. It can be run both under interactive sessions and as a batch job. Network calculus is a mathematical theory concerned with deriving performance bound networks and this book aims to show that it can provide useful methods. Lan protocols modeling, petri nets, performance analysis. Nevertheless, having a teacher at hand to help you with those very first steps is a comfort. Analysis of performance of various activation functions for doing the logic programming in hopfield network shehab abdulhabib saeed alzaeemi, saratha sathasivam and salaudeen abdulwaheed adebayo school of mathematical sciences, universiti sains malaysia, 11800 usm, penang malaysia.

Julia has a rich language of descriptive datatypes, and type declarations can be used to clarify. Any time you browse the web, send an email message, or pop up an x window, you are using a network application. The book presents some key mathematical tools for the performance analysis of communication networks and computer systems. Julia programs compile to efficient native code for multiple platforms via llvm. Analysis of performance of various activation functions. We introduce some of js built in functions and show how. Department of computer science and engineering, shanghai jiao tong. In asymptotic analysis, we evaluate the performance of an algorithm in terms of input size we dont measure the actual running time. Finally, is suitable for data transfer using upload scheme. Importantly, the analysis and visualization workflows in these programs have limited reproducibility and transparency. Whilst it is conventional to deal numerically with network diagrams using the standard dynamic programming algorithm considered before there are advantages to considering how to analyse such diagrams using linear programming lp below we repeat the activity on node network diagram for the problem we considered before. Matlab is a programming language developed by mathworks. A setup and configuration task of a control plane to work as an sdn controller is explained in this paper. Using r for data analysis and graphics introduction, code and commentary j h maindonald centre for mathematics and its applications, australian national university.

Language and platform for cloudera application developers. Functional programming is more than just using a functional programming language. It is a powerful tool in building new and better solutions to old problems and even better at finding solutions where the. It is a powerful tool for developing algorithms and exploring problems that are not already well understood. If you want a network service that needs to accept s of concurrent connections per second and with the lowe. I just stumbled upon the j programming language, which has the description j is particularly strong in the mathematical, statistical, and logical analysis of data. Functional programming and the j programming language. This note concentrates on the design of algorithms and the rigorous analysis of their efficiency. Comp1406 ch12 networkprogramming carleton university. The techniques we will cover are applicable beyond the design and analysis of telecommuni. Interestingly, all network applications are based on the same basic programming model, have similar overall logical structures, and rely on the same programming interface.

Communication networks and computer systems have become extremely complex. Very often the treatment is mathematical and complex. This useful volume introduces concepts and principles of network performance analysis by example, using the j programming language. With javas package, its elegant streambased io classes and its easytouse multithreading capability, network programming is turned from a difficult, highly fiddly black art into a straightforward pleasure. It has also been used in extreme programming and network performance analysis. In this paper, we present eva, a network performance analysis tool. J is a very terse array programming language, and is most suited to mathematical and statistical programming, especially when performing operations on matrices.

Asymptotic analysis is the big idea that handles above issues in analyzing algorithms. The coverage of the core language is meant to be relatively complete, covering eventually most of the dictionary. Hence the book does not cover topics such as graphics, plotting, gui, and database covered in the j user guide, nor does it cover the j application library. Alan holt the purpose of network performance analysis is to investigate how traffic management mechanisms deployed in the network affect the allocation of resources amongst its users and the performance they. Mobile device, data security, connectivity, transfer. J is a highlevel, generalpurpose programming language that is particularly suited to the mathematical, statistical, and logical analysis of data. R programmingnetwork analysis wikibooks, open books for. Alan holt the purpose of network performance analysis is to investigate how trafficmanagement mechanisms deployed in the network affect the allocation of resources amongst its users and the performance they. Network performance analysis using the j programming language. In a performance analysis of an or architecture enhanced with. Read now download network performance analysis using the j programming language pdf free. The scope of the book is the core j language defined in the j dictionary.

This book is a guide for making the transition from scalar languages to j. Using r for data analysis and graphics introduction, code. The pricinpals presented in this book are supported. Like john backuss languages fp and fl, j supports functionlevel programming via its tacit programming. Efficient computation of binomial coefficients using splay trees 2016 10. Out of all languages, we choose two popular language i. Ballerina is an open source programming language, which focuses on. The methodology of functional programming is different from that of imperative programming in substantive ways.