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Mobile decision support second-generation cloud technologies based service for emergency situations

Keywords:

V.A. Karbovskii – Post-graduant Student, Engineer, National Research University of Information Technologies, Mechanics and Optics. E-mail: vladislav.k.work@gmail.com
A.V. Bogacheva – Post-graduant Student, Engineer,National Research University of Information Technologies, Mechanics and Optics. E-mail: bogacheva.an@gmail.ru
S.V. Ivanov – Ph. D. (Eng.), Senior Research Scientist, National Research University of Information Technologies, Mechanics and Optics. E-mail: svivanov@mail.ifmo.ru, sergei.v.ivanov@gmail.com


Modern smartphones are multipurpose devices that provide great opportunities, such as Internet access, positioning technology, and others. Together with the modern cloud technologies it allows to organize mass mobile services (MMS), focused on personalized decision support users. One of the specific directions of the development of massive mobile services is extreme situations support, which includes the notification of this situation and the organization of the evacuation. The distribution of mobile technology not only able to improve the speed of response to a potential threat, but also able to independently take steps that reduce the risk of it for individual. The results of the MMS computing are a set of scenarios that allow the user to choose the decision on the ground. To construct scenarios in terms of incompleteness and indeterminacy of input information we are using computer simulation, requiring the use of cloud technology to implement intensive procedures. This article discusses aspects of MMS for intelligent evacuation support in emergency situations based on the second-generation cloud platform CLAVIRE. With individual perceptions of extreme situations there is a tendency that the term "danger" is replaced by the term "risk". This is not a potential threat assessment, and the impact of this threat directly to them and their relatives and friends. It requires the development of the functions of personal decision support not only in rare emergency situations (floods, earthquakes, etc.), but also in the private extreme situations of personal risk of the user, which are formed on the basis of users own problems. The high-level architecture of MMS includes server core, mobile client application and a set of computer packages (AgentMapper). AgentMapper is responsible for data processing and modeling of different behavior scenarios. MMS is focused on the massive use, and it puts high requirements on the reactivity of the applied solution. Experiments were performed and averaged timings of overhead costs of the MMS work have become the results of which. This paper suggests an approach for the creation of MMS for intellectual personal decision in emergency situations, taking into account the factor of user trust.
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