Indian Journal of Science and Technology

Abstract

Objectives: The objective is to introduce multi-agent systems to enhance the security rules through the access right to build a distributed warehouse in the cloud environment secure manner. The work aim is to take a smart decision making using MAS in a timely manner. Analysis: Cloud computing is a very powerful, and predictable in computing infrastructure for implementing complex agent-based applications. Cloud computing in Multi-Agent System (MAS) appears as an approach to current challenges in many areas. The distributed data warehousing is used to do based on how data’s are distributed in the multiple servers.Its main problemishow the Collaborative work of a multi-agent system designed for distributed data warehousing in the cloud environment. Findings: In the existing approach, a major issue is to retrieve the relevant data from the cloud storage is a very difficult task. Other issues in attributes are increasing the network loads (traffics) and response time, the need of secure data storage, data retrieval from the cloud environment and the database updating is very slow.Cloud infrastructures provide a platform to run the MAS in the real-time, because it takes large execution time by havinga large amount of data processing and dynamic memory. Improvement: In this paper, we introduce data warehouse in the cloud computing through the multi-agent system technology. This enables cost and time saving. The technique based on data warehouse in the cloud environment using Multi-Agent Systems (MAS) technology to consider security and privacy in data storage and transmitted. The proposed system is the use of an MAS in the cloud environment, introduces autonomous decision making in the critical situation to speed up the execution time, response time, database updating and security enhancing. We apply this propose system in any application like e-banking, hospital management, election department, etc. 
Keywords: Cloud Computing, Distributed Data Warehousing, Multi Agent Systems (MAS), Query Redirection Process, Security