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Download Big Data: Related Technologies, Challenges and Future by Min Chen PDF

By Min Chen

This Springer short presents a accomplished evaluation of the historical past and up to date advancements of huge information. the worth chain of massive info is split into 4 levels: information iteration, facts acquisition, information garage and information research. for every part, the ebook introduces the overall historical past, discusses technical demanding situations and studies the newest advances. applied sciences lower than dialogue contain cloud computing, web of items, info facilities, Hadoop and extra. The authors additionally discover a number of consultant functions of huge facts akin to firm administration, on-line social networks, healthcare and scientific functions, collective intelligence and clever grids. This booklet concludes with a considerate dialogue of attainable learn instructions and improvement tendencies within the box. large information: similar applied sciences, demanding situations and destiny customers is a concise but thorough exam of this fascinating sector. it truly is designed for researchers and execs attracted to gigantic information or similar examine. Advanced-level scholars in desktop technology and electric engineering also will locate this ebook useful.

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Extra resources for Big Data: Related Technologies, Challenges and Future Prospects

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Fiber optic communication technologies: What’s needed for datacenter network operations. Communications Magazine, IEEE, 48(7):32–39, 2010. 32. Guohui Wang, David G Andersen, Michael Kaminsky, Konstantina Papagiannaki, TS Ng, Michael Kozuch, and Michael Ryan. c-through: Part-time optics in data centers. In ACM SIGCOMM Computer Communication Review, volume 40, pages 327–338. ACM, 2010. 33. Xiaohui Ye, Yawei Yin, SJ Ben Yoo, Paul Mejia, Roberto Proietti, and Venkatesh Akella. Dos: A scalable optical switch for datacenters.

To use a distributed system to store massive data, the following factors should be taken into consideration: • Consistency: a distributed storage system requires multiple servers to cooperatively store data. As there are more servers, the probability of server failures will be larger. Usually data is divided into multiple pieces to be stored at different servers to ensure availability in case of server failure. However, server failures and parallel storage may cause inconsistency among different copies of the same data.

22. M Jinno, H Takara, and B Kozicki. Dynamic optical mesh networks: Drivers, challenges and solutions for the future. In Optical Communication, 2009. ECOC’09. 35th European Conference on, pages 1–4. IEEE, 2009. 23. Luiz André Barroso and Urs Hölzle. The datacenter as a computer: An introduction to the design of warehouse-scale machines. Synthesis Lectures on Computer Architecture, 4(1):1– 108, 2009. 24. Jean Armstrong. Ofdm for optical communications. Journal of lightwave technology, 27(3): 189–204, 2009.

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