Informatics Publishing Limited

A. Suthan ¹, D. Kesavaraja ²

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

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.

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D. Kesavaraja ¹, A. Suthan ², J. Mark Jain ¹

Affiliations
1 Department of Computer Science and Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, Tamilnadu, IN
2 Department of Computer Applications, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, Tamilnadu, IN

Abstract

Congestion control has been always a major problem when network and data transmission gets involved. With the emergence of cloud computing the same problem applies to cloud computing environment too. In this paper we consider the problem of congestion control in cloud web computing environment which support both multirate multicast sessions and unicast sessions. Our work proposes an efficient congestion control mechanism using genetic algorithm, which identifies service state information of the communication. A Subserver justifies packet speed labeled by identifier and it decides the rapidness in which the receiver should receive the packet. Based on the receiver's requirement speed, the sub server splits the packets and forwards it. Also it identifies service state information for allocating bandwidth to the receivers. We propose an architecture that significantly reduces this implementation complexity but still achieves approximately fair bandwidth allocations. The congestion-control mechanism takes into account the diverse user requirements when different receivers within a multicast session have proper fitness functions in GA, but does not require the network to have any knowledge about the receiver utility functions.

Keywords

Cloud Computing, Congestion Control, Genetic Algorithm, Multi Cast, Traffic Flow, Packet Transfer.

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A. Suthan ¹, D. Kesavaraja ²

Affiliations
1 Department of Master of Computer Applications, Dr. Sivanthi Aditanar College of Engineering, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Dr. Sivanthi Aditanar College of Engineering, Tamil Nadu, IN

Abstract

Grid Computing provide ample opportunities in many areas. A authorized user should be able to access any data that has been created by him, in the Grid, considering all the factor for security and other vital criteria such as reliability, availability, secure reading and writing of data. The proposed service helps the authorized user to create, modify, view the data that has been created by him or his group, irrespective of whether he is inside the grid environment or he is outside the grid. This service is maintained and moderated by a coordinator which takes care of factors of security, other vital criteria and properties of distributed and grid environment. In order to increase the availability of data LTSIA uses a replication algorithm that decides the number of replicas that has to be created and where to store the replicated data. The decisions are made from the information stored in the service table linked with co-ordinator. Elliptic curve crypto Algorithm is used to encrypt data while being transmitted outside the grid. The authorized user can use a unique id assigned to him to decrypt the data or shall use a digital certificate system as a tool to decrypt it.

Keywords

Availability, Cloud Computing, Grid Computing, Location Transparency, Replication, Security.

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