MAS workflow model and scheduling algorithm for disaster management system

Abstract

Workflow model is a computerized model to run business process in commercial industries. However, it can be used in different other scenario, especially where the real time environment is similar to distributed environment. In this paper, we have focused on how workflow model in cloud computing can help to maintain the rescue and reorganization activities of disaster situation. The proposed architecture models disaster situation as a distributed cloud system.. In this regard, existing models deal with temporal and static constrain. However they cannot be used to keep pace with an uncertainly dynamic system like disaster management system. Therefore a dynamically configurable and changeable workflow model is proposed. Multi Agent System (MAS) is used to simplify system architecture. Another contribution of this paper is to define a dynamic adaptive scheduling algorithm that offers an appropriate execution sequence of workflow activities. At the same time proposed algorithms are also capable of resource allocation and imposing dynamic control over the system. Proposed algorithms also consider both successful and failed situation in case of scheduling different activities.