Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

Discusses the development of related programming models and technologies in information and communication, and how these help in formulating practical solutions for the topics covered

Performance Modeling of Big Data Oriented Architectures Marco Gribaudo, Mauro Iacono, and Francesco PalmieriWorkflow Scheduling Techniques for Big Data Platforms Mihaela-Catalina Nita, Mihaela Vasile, Florin Pop, and Valentin CristeaCloud Technologies: A New Level for Big Data Mining Viktor Medvedev and Olga KurasovaAgent Based High-Level Interaction Patterns for Modeling Individual and Collective Optimizations Problems Rocco Aversa and Luca TasquierMaximize Profit for Big Data Processing in Distributed Datacenters Weidong Bao, Ji Wang, and Xiaomin ZhuEnergy and Power Efficiency in the Cloud Michä Karpowicz, Ewa Niewiadomska-Szynkiewicz, Piotr Arabas, and Andrzej SikoraContext Aware and Reinforcement Learning Based Load Balancing System for Green Clouds Ionut Anghel, Tudor Cioara, and Ioan SalomieHigh-Performance Storage Support for Scientific Big Data Applications on the Cloud Dongfang Zhao, Akash Mahakode, Sandip Lakshminarasaiah, and Ioan RaicuInformation Fusion for Improving Decision-Making in Big Data Applications Nayat Sanchez-Pi, Luis Martí, José Manuel Molina, and Ana C. Bicharra GarcaLoad Balancing and Fault Tolerance Mechanisms for Scalable and Reliable Big Data Analytics Nitin Sukhija, Alessandro Morari, and Ioana Banicescu