BUSINESS CONTINUITY PLANNING AND LEARNING BASED ON AN EXTENSION TO THE JDL DATA FUSION MODEL

[ 30 Nov 2019 | vol. 10 | pp. 1-6]

About Authors:

Sami Mohammed1, Sabah Mohammed2 and Jinan Fiaidhi2
-1Department of Computer Science, University of Victoria, Canada
-2Department of Computer Science, Lakehead University, Canada

Abstract:

Small businesses are likely to suffer severely from any disaster. Only half of businesses had any kind of plan in place to recover from such unforeseen events. The pain of disaster will be felt not only by the businesses themselves, but by their customers. Not surprisingly, this lead to a lot of customer loss where they will switch vendors due to “unreliable business systems”. Business continuity planning (BCP) is the process of creating systems of prevention and recovery to deal with potential threats to a company. This summary paper presents an extended model of JDL BCP by adding two essential levels including machine learning and workflow integration. The Node-Red workflow integration platform is suggested to be used for BCP prototyping and recovery.

Keywords:

BCP Modeling, JDL Model, Node-Red, Planning and Recovery

 

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