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Balasubramanian, R.
- Secure and Faster Clustering Environment for Advanced Image Compression
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Authors
Affiliations
1 Department of Computer Science and Engineering, Dr Sivanthi Aditanar College of Engineering, Tiruchendur, Tamilnadu, IN
2 Department of Computer Science and Engineering, Manonmaniam Sundarnar University, Abishekapatti, Tirunelveli, Tamilnadu, IN
3 Department of Computer Science and Engineering, Einstein College of Engineering, Tirunelveli, Tamilnadu, IN
4 Department of Information Technology, PSN College of Engineering and Technology, Tirunelveli, Tamilnadu, IN
1 Department of Computer Science and Engineering, Dr Sivanthi Aditanar College of Engineering, Tiruchendur, Tamilnadu, IN
2 Department of Computer Science and Engineering, Manonmaniam Sundarnar University, Abishekapatti, Tirunelveli, Tamilnadu, IN
3 Department of Computer Science and Engineering, Einstein College of Engineering, Tirunelveli, Tamilnadu, IN
4 Department of Information Technology, PSN College of Engineering and Technology, Tirunelveli, Tamilnadu, IN
Source
International Journal of Advanced Networking and Applications, Vol 2, No 3 (2010), Pagination: 671-678Abstract
Cloud computing provides ample opportunity in many areas such as fastest image transmission, secure and efficient imaging as a service. In general users needs faster and secure service. Usually Image Compression Algorithms are not working faster. In spite of several ongoing researches, Conventional Compression and its Algorithms might not be able to run faster. So, we perform comparative study of three image compression algorithm and their variety of features and factors to choose best among them for cluster processing. After choosing a best one it can be applied for a cluster computing environment to run parallel image compression for faster processing. This paper is the real time implementation of a Distributed Image Compression in Clustering of Nodes. In cluster computing, security is also more important factor. So, we propose a Distributed Intrusion Detection System to monitors all the nodes in cluster . If an intrusion occur in node processing then take an prevention step based on RIC (Robust Intrusion Control) Method. We demonstrate the effectiveness and feasibility of our method on a set of satellite images for defense forces. The efficiency ratio of this computation process is 91.20.Keywords
Compression, Cluster, JPEG, Distributed Computing, Security.- An Analytical Performance Measure for Smooth Handoff in Mobile IPv6
Abstract Views :143 |
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Authors
Affiliations
1 Holy Cross College (Autonomous), Tiruchirappalli-620002, Tamilnadu, IN
2 Raja Duraisingam Government Arts College, Sivagangai, Tamil Nadu, IN
1 Holy Cross College (Autonomous), Tiruchirappalli-620002, Tamilnadu, IN
2 Raja Duraisingam Government Arts College, Sivagangai, Tamil Nadu, IN
Source
International Journal of Advanced Networking and Applications, Vol 1, No 3 (2009), Pagination: 175-180Abstract
Mobility is the most important feature of a wireless communication system. The mobile device needs to connect multiple points of connection and perhaps multiple networks as it moves from one location to another. Handover management is the way a network uses to maintain connection to a mobile user as it moves and changes its access point to the network. The IETF’s mobile IP that uses mobile agents to support seamless handoffs, making it possible for mobile hosts to roam from subnet to subnet without changing IP addresses. To reduce the impact on the performance and the signaling overheads, hierarchical mobility management schemes define protocols that allow movements within a domain to be handled locally, without involvement of the mobile node’s home network. To reduce the packet losses during handoff, new schemes have been defined, such as smooth handoff. This paper surveys basic handover mechanisms with an analytical model of mobile Internet protocols and also we have propose a novel performance model to evaluate the packet loss and packet delay for UDP streams that is involved in a handoff. The reason for this loss is identified and solutions to this problem are projected. This paper proposes methodology include mathematical models which is able to predict the handoff latency with empirical study.Keywords
Mobility Management, Mobile IP, IPv4, IPv6, Smooth Handoff.- Estimated Bandwidth Distribution with Admission Control for Enhanced QoS Multicast Routing in MANETs
Abstract Views :128 |
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Authors
Affiliations
1 Holy Cross College (Autonomous), Tiruchirappalli-620002, IN
2 Rajah Duraisingam Government Arts College, Sivagangai, IN
1 Holy Cross College (Autonomous), Tiruchirappalli-620002, IN
2 Rajah Duraisingam Government Arts College, Sivagangai, IN