Many applications generate Big Data, like social networking and social influence programs, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grow rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficient exploit the power of widely distributed resources. The book provides, in this sense, a platform for the dissemination of advanced topics of theory, research efforts and analysis and implementation of resource management systems for Big Data platforms and applications. The book constitutes a flagship driver towards presenting and supporting advance research in the area of Big Data platforms and applications. The focus of the Edited Book, and correspondingly the topics covered, will be on new architectures, methods, techniques, protocols, components and tools related to the RMS for Big Data platforms and applications.
The book can serve as an academic reference book, which covers cross-area topics in information and communication technologies. We expect that the contribution of each chapter can be presented in one of the following formats: Literature survey and review; Monograph technical articles; Research reports and papers; Case studies. Submitted chapters should not have been previously published nor be currently under consideration for publication elsewhere.
For more information please read invitation to contribute chapters.