Lei Shu

Timothy Gordon

Imed Romdhani

Deze Zeng

Hara Takahiro

Zhangbing Zhou

This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2017, held in Edinburgh, UK, in December 2017. The 65 papers presented were carefully reviewed and selected from 103 submissions and focus on electronic collaboration between distributed teams of humans, computer applications, and autonomous robots to achieve higher productivity and produce joint products.

13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings

Collaborative Computing: Networking, Applications and Worksharing

Song Guo

Lin Gu

This book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (SDN) and network function virtualization (NFV) technologies as key cloud networking technologies. The authors illustrate that SDN and NFV can be applied to benefit the big data processing by proposing a cloud networking framework. Based on the framework, two case studies examine how to improve the cost efficiency of big data processing. Cloud Networking for Big Data targets professionals and researchers working in big data, networks, wireless communications and information technology. Advanced-level students studying computer science and electrical engineering will also find this book valuable as a study guide.

Cloud Networking for Big Data

Deze Zeng

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