Abstract: Nowadays the importance of data collection, processing, and analyzing is growing tremendously. BigData technologies are in high demand in different areas, including bio-informatics, hydrometeorology, high energy physics, etc. One of the most popular computation paradigms that is used in large data processing frameworks is the MapReduce programming model. Today integrated optimization mechanisms that take into account only load balance and execution fast simplicity are not enough for advanced computations and more efficient complex approaches are needed. In this paper, we suggest an improved algorithm based on categorization for data reorganization in MapReduce frameworks using replication and network aspects. Moreover, for urgent computations that require a specific approach, the prioritization customization is introduced.

Abstract: Complex phenomena are increasingly attracting the interest of researchers from various branches of computational science. So far, this interest have conditioned the demand not only for more sophisticated autonomous models, but also for mechanisms that would associate them. This paper presents a multiscale agent-based modelling and simulation technique based on the incorporation of multiple modules. Two key principles are presented as guiding such an integration: common abstract space as a space, where entities of different models interact and commonly controlled agents – abstract actors operating in a common space, which can be handled by different agent-based models. Proposed approach is evaluated through series of experiments on simulating the emergency evacuation from the cinema building to the city streets, where building and street levels are reproduced in heterogeneous models.

Abstract: We present a resource provisioning and execution management solution for a flood decision support system. The system developed within the ISMOP project, features an urgent computing scenario in which flood threat assessment for large sections of levees is requested within a specified deadline. Unlike typical decision support systems which utilize heavyweight simulations in order to predict the possible course of an emergency, in ISMOP we employ an alternative approach based on the `scenario identification' method. We show that this approach is a particularly good fit for the resource provisioning model of IaaS Clouds. We describe the architecture of the ISMOP decision support system, focusing on the urgent computing scenario and its formal resource provisioning model. Preliminary results of experiments performed in order to calibrate and validate the model indicate that the model fits experimental data.

Abstract: This paper presents the concept of holistic approach to urgent computing which extends resources management in situation of emergency from computational resources to Data Acquisition and Preprocessing System. The layered structure of this system is presented in detail and its rearrangement in case of emergency is proposed. This process is harmonised with large scale computation using Urgent Service Profile. The proposed approach was validated by practical work performed under ISMOP project. Concrete examples of Urgent Service Profile definition have been discussed. Results of preliminary experiments related to energy management and data transmission optimization in case of emergency have been presented.

Abstract: The paper describes a software system to simulate the ship motions in a crisis situation. The scenario consists of the damaged ship subjected to wave excitation forces generated by a random sea base on real wave spectrum. The simulation is displayed in an interactive Virtual Environment allowing the visualization of the ship motions. The numerical simulation of the sea surface and ship motions requires intensive computation to maintain the real-time or even the fast-forward simulations, which are the only ones of interest for these situations. Dedicated tools to analyse the ship behaviour in time are also described. The system can be useful to evaluate the responses of the ship to the current sea state, namely the amplitude, variations and tendencies of ship motions, and help the planning and coordination of rescue operations.