Title: Cloud database failure prediction using multi agent system

Authors: Souvik Chowdhury; Shibakali Gupta

Addresses: University Institute of Technology, University of Burdwan, Burdwan, West Bengal, India ' University Institute of Technology, University of Burdwan, Burdwan, West Bengal, India

Abstract: We have proposed a new method of fault tolerance mechanism in modern cloud database. Cloud database is important for big enterprises and have strict service level agreement (SLA) so any downtime is costly. All databases have their own fault tolerance mechanism by means of clustering technique, standby, backup recovery strategies with almost no data loss. The above methods are either costly or time consuming. If any measurement can be taken which can predict cloud database failure well ahead of it actually happens, suggest reason for the failure and also provide solution for the problem from knowledge database will not only reduce cost and time problem mentioned above but also will add a new dimension to fault tolerance technology. In this paper we have tried to develop an idea of failure prediction for a cloud database with the help of multi agent system and probable solution based on knowledge base search.

Keywords: cloud database; Oracle; multi agent system; MAS; RDBMS.

DOI: 10.1504/IJHI.2019.103577

International Journal of Hybrid Intelligence, 2019 Vol.1 No.2/3, pp.178 - 190

Received: 05 Apr 2018
Accepted: 23 May 2018
Published online: 12 Nov 2019 *

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