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Big Data is an emerging hot topic as human beings are generating data in an explosive fashion. Big Data possesses profound information of our society, and therefore, it impacts numerous aspects of human society, such as government, finance, security, climate and so on. Big Data is usually so large and complex, which is far beyond the capacity of the existing database management tools or traditional data processing applications. Currently, most of the work on Big Data is focusing on business, application and information processing level, such as data mining and analysis. However, Big Data definitely and desperately desires the support from networking aspect, especially when real time or near real time applications are demanded. For example, the storage of Big Data must depend on distributed systems and mechanisms. Therefore, it involves issues of network performance, structure, security, privacy and so on. However, these aspects of Big Data are seldom studied to date. This Special Issue solicits both original research and tutorial articles that discuss about networking aspect of Big Data, such as, network topology impaction on Big Data, distributed Big Data storage and retrieval, security and privacy protection for Big Data, and so on. Topics of interest include, but are not limited to: - Network architecture design for Big Data - Distributed systems for Big Data - Parallel and distributed algorithms for Big Data - Data migration and backup for Big Data - Data synchronization for Big Data - Access control in Big Data - Network security, privacy and trust in Big Data - Network performance analysis in Big Data - Network modelling for Big Data - Anonymous communication for Big Data With regard to both the content and formatting style of the submissions, prospective contributors should follow the IEEE Network guidelines for authors that can be found at http://www.comsoc.org/netmag/paper-submission-guidelines. Authors should submit their manuscripts through ScholarOne for IEEE Network Magazine. Choose"Special Issue —Networking for Big Data" from the drop down menu on the submission page. The timetable is as follows: Manuscript submission: December 1, 2013 Acceptance notification: March 1, 2014 Final manuscript due: May 1, 2014 Publication date: July 2014 The Guest Editors for this issue are: Shui Yu, [email protected] Xiaodong Lin, [email protected] Jelena Misic, [email protected] -- ----------------------------- Shui YU, PhD, Senior Lecturer School of Information Technology, Deakin University, 221 Burwood Highway, Burwood, VIC 3125, Australia. Telephone:0061 3 9251 7744 http://www.deakin.edu.au/~syu
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