Multi Agent based intelligent query processing system for Hadoop with FIPA OS using cooperating agent in Cloud environment

Abstract

The cloud provides a flexible environment for customers to host and process their information. Cloud computing is used as set of connected remote resources which is used to manage, store and process the data. To make use of remote resources rather than local or personal computers, internet based computing is used. Many applications dealing with massive data and complex queries are routed to the cloud. The response time depends on query optimization and resource scheduling. The most popular and efficient way to handle the data are HadoopMapReduce and HDFS (Hadoop Distributed File System) in cloud environment. It also provides excellent scalability and fault tolerance. There are several techniques to optimize the query and resource scheduling but the information about the query is not stored i.e. the frequent queries will recursively do the same set of procedures. Hence, to reduce the time consumed by redundant query processing procedure we introduce agents in Hadoop framework (JobTracker). newline