Fatos Xhafa

Modeling and Processing for Next-Generation Big-Data Technologies

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

Advances on Broad-Band Wireless Computing, Communication and Applications

The success of all-IP networking and wireless technology has changed the ways of living the people around the world. The progress of electronic integration and wireless communications is going to pave the way to offer people the access to the wireless networks on the fly, based on which all electronic devices will be able to exchange the information with each other in ubiquitous way whenever necessary. The aim of the volume is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of broadband and wireless computing. This proceedings volume presents the results of the 11th International Conference on Broad-Band Wireless Computing, Communication And Applications (BWCCA-2016), held November 5-7, 2016, at Soonchunhyang University, Asan, Korea.

Brokering of Cloud Infrastructures Driven by Simulation of Scientific Workloads

Cloud Computing has demonstrated to be attractive for different application fields, including scientific ones, that have already benefited from distributed environments like Grid. Nevertheless the main Grid model is static, so users cannot add or modify computational resources in accordance to their needs. Besides it is not possible to dynamically modify the resources on the basis of the real system workload. Elastic computing and pay per use business model of Cloud paradigm have been investigated to build a Grid infrastructure over virtual resources. In this paper we propose the integrated utilization of simulation techniques and service brokering to provide a decision support to the user, when it needs to choose the best Cloud infrastructure and provider that satisfy the performance requirements of its scientific application, whose workload is known.