Informatics Publishing Limited

Harish Rathod ¹, Kaushik H. Raviya ¹

Affiliations
1 Department of Computer Science and Engineering, B.H Gardi College of Engineering & Technology, Rajkot, Gujarat, IN

Abstract

To estimate the reliability of software various reliability growth models have been proposed but no one is proven to be best for various applications. Component Based Systems achieve flexibility by clearly separating the stable parts of systems (i.e. the components) from the specification of their composition. In order to estimate the reliability of Component Based Software System, it is required to measure the reliability of each component of the system. However, due to the black-box nature of components, where the source code of these components are not available, it is difficult to use conventional metrics in Component Based Development as these metrics require analysis of source codes. Soft Computing Techniques i.e. Artificial Neural Networks and Fuzzy Logic have been recognized as attractive alternatives to the standard, well-established “hard computing” paradigms. In this paper, we adopt Soft Computing Techniques i.e. Artificial Neural Networks and Fuzzy Logic based approach to estimate the reliability of Component Based Software, the reliability of Component Based Software will be estimated based on the reliabilities of the individual components and the architecture of the system.

Keywords

Software Components, Software Engineering, Software Architecture, Neural Network, Software Quality.

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Kaushik H. Raviya ¹, Prashant M. Jadav ¹, C. K. Bhensdadia ²

Affiliations
1 Department of Computer Engineering, Dharmsinh Desai University, Nadiad, Gujarat, IN
2 Department of Computer Engineering, Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarart, IN

Abstract

Peer-to-Peer (P2P) systems have become an important part of the internet; millions of users have been attracted to use their structure and services. A P2P system can be defined as a distributed network architecture, whereby participants share a part of their own hardware resources such as processing power, storage capacity, or network bandwidth. The service or content provided by the P2P network is accessible by other peers directly, without passing intermediary entities. A simulation is an attempt to model a system in order to study it scientifically. Simulator tools are widely used for investigating overlay networks and peer-to-peer (P2P) applications. Simulating P2P overlay networks is a common problem for researchers and developers because P2P systems can consist of million of nodes and they are dynamic in nature. So simulation for such a large dynamic network is difficult due to technical constraints even on the most powerful machines. In this paper we focus on survey and comparison of different P2P simulators by taking some important criteria viz., architecture, usability, scalability, programming language support and overlay supports into consideration.

Keywords

Peer to Peer (P2P), Protocol, Simulators, Structured, Unstructured.

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