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Modern Distributed Pervasive Computing [MDPS] for Affording Accurate and Continual Service


Affiliations
1 Department of Computer Applications, DrSivanthi Aditanar College of Engineering , Tiruchendur–628215, India
2 Department of Computer Science and Engineering, Dr Sivanthi Aditanar College of Engineering, Tiruchendur–628215, India
     

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In the modern world Pervasive computing plays a vital role. Distributed computing finds its way in nearly every day to day operations of an individual. We have tried to produce a pervasive computing environment that provides accurate and continual service with the use of a distributed dependency graph generator. In order to provide an accurate service the faulty nodes are segregated from the main stream. In order to provide continual service the distributed dependency graph finds various surrogate nodes that are capable of performing the same functions. This is achieved by making the failed node to move to a safe state and perform sensing but not participate in the Decision Dependency Graph .Once the failed node has recovered; it is permitted to participate in the Decision Dependency Graph.

Keywords

Decision Dependency Graph, Fault Tolerant, Pervasive Computing, Surrogate Nodes.
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  • Modern Distributed Pervasive Computing [MDPS] for Affording Accurate and Continual Service

Abstract Views: 143  |  PDF Views: 2

Authors

A. Suthan
Department of Computer Applications, DrSivanthi Aditanar College of Engineering , Tiruchendur–628215, India
D. Kesavaraja
Department of Computer Science and Engineering, Dr Sivanthi Aditanar College of Engineering, Tiruchendur–628215, India

Abstract


In the modern world Pervasive computing plays a vital role. Distributed computing finds its way in nearly every day to day operations of an individual. We have tried to produce a pervasive computing environment that provides accurate and continual service with the use of a distributed dependency graph generator. In order to provide an accurate service the faulty nodes are segregated from the main stream. In order to provide continual service the distributed dependency graph finds various surrogate nodes that are capable of performing the same functions. This is achieved by making the failed node to move to a safe state and perform sensing but not participate in the Decision Dependency Graph .Once the failed node has recovered; it is permitted to participate in the Decision Dependency Graph.

Keywords


Decision Dependency Graph, Fault Tolerant, Pervasive Computing, Surrogate Nodes.