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ATM DATA BASE

Platform : DOT NET

ABSTRACT Introduction: An ATM clustering system is a kind of workstation clusters over an ATM network. Such a system can be used as a distributed database server which requires reliable data delivery. This paper proposes an error recovery scheme at the transport layer for reliable data transfers with high throughput in the ATM clustering system. For such data transfers, acknowledgments are sent periodically as well as at the detection of packet losses. To be efficient, the periods of acknowledgments for the scheme are adaptively varied, depending on whether current transfer is either in error free phase or in an error recovery phase. Problem in the Existing System: The design and performance evaluation of the error recovery scheme is presented with a set of parameter values to achieve the best performance. The results show that the proposed scheme operates correctly and efficiently for the ATM clustering system. We simulate models of ATM communication systems on a massively parallel SIMD computer. Proposed System: Fast simulations of ATM models are needed because the regimes of interest usually involve high volumes of traffic and low failure rates. Unexpected practical and theoretical difficulties, partly due to the massive parallelism and SIMD aspects, were encountered and we show how to cope with them. Modules:  Administrator  Manager  Accountant  Customer Description: Administrator: This module of Administrator will handle all the remaining modules which are presented in this project. He have all the privileges to add, delete modify the details of customers, managers and accountants. Manager: The manager module will take care of the customer requirements, services and the complaints/suggestions. It was also found that time-parallel simulations of ATM systems with Markov sources can be efficiently performed using parallel prefix methods only when the sources have a small number of states, while more complex sources require end-state matching for efficient simulation. Accountant: He will gather all the information from the customers, bank management and from the ATM centers. He can generate the reports of different accounts and the details of deposits, withdraws and D.D, cheques. Customer: In a replica-parallel simulation of an ATM system, large variations in computed statistics are caused by small differences in the distribution of employed random number generators. A comparison of these distributions using a secondary statistical measure served to disambiguate the results. We discovered that, with the proper choice of initial state distributions and partial regeneration points, the time and memory requirements can be much improved. Technologies Software Requirements: Web Technologies : ASP.Net2.0 Code Behind : C#.Net Database : SQL Server 2005 Operating System : Windows XP Web Server : IIS5.1 Scripting : JavaScript GUI Tools : VS.Net2005 Hardware Requirements: Intel Pentium : 600 MHz or above. RAM (SD/DDR) : 1GB Hard Disc : 60 GB or above

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