Intelligent Distributed Computing

Customization of Recommendation System using Collaborative Filtering Algorithm on Cloud using Mahout.- A Result Verification Scheme for MapReduce Having Untrusted Participants.- Quantifying direct trust for private information sharing in an Online Social Network.- A Heuristic for Link Prediction in Online Social Network.- P-Skip Graph: An Efficient Data Structure for Peer-to-Peer Network.- Localization in Wireless Sensor Networks with Ranging Error.- Dynamic Job Scheduling Using Ant Colony Optimization for Mobile Cloud Computing.- Enhancing the Security of Dynamic Source Routing Protocol Using Energy Aware And Distributed Trust Mechanism in MANETs.- Dir-DREAM: Geographical Routing Protocol for FSO MANET.- Extending lifetime of Wireless Sensor Network using Cellular Automata.- Computer Network Optimization using Topology Modification.- Mobile Sensor Localization Under Wormhole Attacks: An Analysis.- Hash based incremental optimistic concurrency control algorithm in distributed databases.- Evaluating travel websites using WebQual: A group decision support approach.- Location-based Mutual and Mobile Information Navigation System: Lemmings.- Neural Network Based Early Warning System for an Emerging Blackout in Smart Grid Power Networks.- Hybrid Genetic Fuzzy Rule Based Inference Engine to Detect Intrusion in Networks.- Enhancement Of Data Level Security In MongoDB.- SemCrawl: Framework for Crawling Ontology Annotated Web Documents for Intelligent Information Retrieval.- OwlsGov: an OWL-S based framework for e-government services.- A Survey on Reduction of load on the Network.- Smart Human Security Framework Using Internet of Things, Cloud and Fog Computing.- Classification Mechanism for IoT devices towards Creating a Security Framework.- Data Owner Centric Approach to Ensure Data Protection in Cloud Environment.- Predictive Rule Discovery for Network Intrusion Detection.

Dr. Sabu M. Thampi is a Professor in the Department of Computer Science and Engineering, Rajagiri School of Engineering and Technology, Kerala, India. He has completed PhD degree in Computer Engineering from National Institute of Technology Karnataka, India. Rajkumar Buyya is Co-Chair of the IEEE Task Force on Cluster Computing and an international speaker in the IEEE Computer Society Chapter Tutorials Program. Currently at Monash University, Melbourne, Australia, he is conducting R&D on the use of an economics paradigm for peer-to-peer and grid-based service-oriented computing. He has co-authored Microprocessor x86 Programming and Mastering C++, and edited a popular two-volume book on high performance cluster computing. He has published over 50 research articles in major international journals and conferences.