Intelligent query processing from biotechnological database using co-operating agents based on FIPA standards and hadoop, in a secure cloud environment

Cloud computing is a scalable and flexible environment that delivers economical computing facilities to clients based on queries. Response to query depends upon the speed of pattern matching, error correction, and resource allocation during query processing. The algorithms for query processing, sequence alignments of data from NCBI, EMBL, DDBJ and storage of recurring complex enquiries, are complicated and time consuming in the HADOOP framework. In order to obtain secure, swift and consistent response to queries, multi-agents have been introduced as a substitute for Job Tracker. They enhance the pace of query handling, allocate tasks to the Task Trackers, boost fault tolerance and increase reliability. Multi-Agents have also been deployed amid user and Agents, in the middle of Agents and between platforms to provide security measures. Agent development is done using JADE (Java Agent Development Environment) following the FIPA (Foundation for Intelligent Physical Agents) standards, using FIPA ACL (Agent Communication Language).