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Intelligent query processing from biotechnological database using co-operating agents in a secure cloud environment


Article Information

Title: Intelligent query processing from biotechnological database using co-operating agents in a secure cloud environment

Authors: R. Geetha, K. L. Shunmuganathan

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 7

Language: English

Categories

Abstract

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 following the FIPA (Foundation for Intelligent Physical Agents) standards, using FIPA ACL (Agent Communication Language).


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