This volume contains 15 chapters on managing and processing big data in cloud computing. Computer scientists from Europe, Pakistan, India, and Ethiopia address text classification, social networks, Map Reduce, Hadoop, virtual packet streaming, wireless multi-hop networks, mobile cloud computing, big data virtualization, machine learning algorithms for big data computation, resource scheduling, techniques for big data analysis, green and energy-efficiency issues, and the heterogeneity paradigm in big data architectures.
– ProtoView Reviews
This is a very research-heavy volume, dense with original research, analyses, and a lot of additional reading references. Although the topics are sometimes fairly narrow, some chapters contain pages and pages of references for additional reading and research that can be incredibly valuable. For researchers or those trying to better utilize big data and cloud computing, this volume should prove to be a very valuable resource.
– Tyler Manolovitz, Digital Resources Coordinator, Sam Houston State University, USA, American Reference Books Annual