Local semantic indexing for resource discovery on overlay networks using mobile agents
Singh, M. and Cheng, Xiaochun and Belavkin, Roman V. (2011) Local semantic indexing for resource discovery on overlay networks using mobile agents. International Journal of Computational Intelligence Systems . ISSN 1875-6891 (Accepted - In Press)
Full text is not in this repository.
This item is available in the Library Catalogue
One of the most crucial problems in a peer-to-peer system is locating of resources that are shared by various nodes. Various techniques suggested in literature suffer from drawbacks viz. saturation of network, inability to locate multi- keyword based resource or locate resource based on semantics. We present the solution that is more efficient and effective for discovering shared resources on a network that is influenced by content shared by nodes. To reduce the search load on nodes that have uncorrelated content, an efficient migration route is proposed for mobile agent that is based on cosine similarity of content shared by nodes and user query and minimum support. Results show reduction in search load and traffic due to communication, and increase in locating of resources defined by multiple keys using mobile agent that are logically similar to user query. Furthermore, the results indicate that by use of our technique the relevance of search results is higher; that is obtained by minimal traffic generation/communication and hops made by mobile agent.
|Keywords (uncontrolled):||Resource Discovery, Overlay Network, Reconnaissance Agent, Latent Semantic Indexing, Cosine Similarity|
|Research Areas:||A. > School of Science and Technology > Computer and Communications Engineering|
A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
|Deposited On:||14 Nov 2011 07:18|
|Last Modified:||10 Mar 2015 10:49|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year