CONCEPTUALISATION OF A CONTEXT AWARE CLOUD ADAPTATION (CACA) FRAMEWORK FOR SHARED AND SUSTAINABLE DISASTER MANAGEMENT SYSTEMS

Abstract

The development and management of collaborative community warning (CW) and emergency incident response (EIR) processes and information systems, demand a paradigmatic shift in our thinking, as we have witnessed from the problems and issues encountered in recent disasters. Emergency services agencies (ESA) must provide the community with information and systems to assist them to prepare for, react to and recover from a crisis. This has placed ESA under enormous pressure to respond to public concerns regarding the contextual limitations of their disaster management systems for this purpose.
Recent CW and EIR systems failures in the 2009 Victorian bush fires and 2010/11 Queensland floods has focused interest and attention on the adoption of sustainable and shared collaborative computing architectures. Most recently, the emergence of Software as a Service (SaaS) within cloud computing environments has made it possible to develop and deploy collaborative business processes, information systems, and infrastructure as eServices. A decision to move to the cloud, however, is not an ad-hoc or easy task for government and there is little guidance available on how to do so. This paper proposes the development and application of a context-aware cloud adaptation (CACA) framework by using an iterative constructive development process. This framework can be used to enhance CW and EIR information and systems by establishing an appropriate sustainable and shared systems environment for ESA. This paper conceptualizes this framework based on complex event processing, context-awareness and self-adaptation approaches.

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