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*--- * *CALL FOR PAPERS* *Big Data for Networking* Big data from everything around us at an unprecedented velocity, volume and variety is changing the way we recognize the world. Big data analytics has shown great potential in decision making, optimizing operations, preventing threats and capitalizing on new sources of revenues in various fields such as manufacturing, healthcare, insurance, and retail. To harness the power of big data, many research efforts have been made to develop new data programming models, e.g., MapReduce, and enhance data processing infrastructure from aspects of computation, storage and network. As networking plays a critical role in big data generation, transmission and processing, networking for big data has been well investigated. However, how big data affects networking is seldom studied. Although various kinds of networks, such as mobile and wireless networks, wide area Internet network, enterprise and home networks, wireless sensor networks, etc. have changed the way people interact with each other and the world, they become inefficient and difficult to manage because of high complexities and interdependencies. Big network data, which come from countless network devices in forms of device log, usage history, media content delivered over networks and so on, provide a fundamentally different and novel approach to explore, design and develop reliable and scalable networks. This special issue covers the most recent research results that address challenges of big data for networking. Topics of interest include, but are not limited to, the following: - Big data for network design - Big data for network management - Big data for network measurement - Big data for green communication and networking - Big data for network resource optimization - Big data for network security and privacy - Big data for network economics and pricing - Big data for network performance evaluation - Big data for crowdsourcing With regard to both the content and formatting style of the submissions, prospective authors should follow the *IEEE Network* submission guidelines available at*http://www.comsoc.org/netmag/paper-submission-guidelines* <http://www.comsoc.org/netmag/paper-submission-guidelines>. Authors should submit their manuscripts via Manuscript Central, choosing "Big Data for Networking" from the drop-down menu on the submission page. The corresponding author is also requested to send the title of the submission and the list of authors by email to the Guest Editors Important Dates · Manuscript submission: June 1, 2015 · First revision/reject notification: August 15, 2015 · Acceptance notification: October 15, 2015 · Final manuscript due: November 15, 2015 · Publication date: January 2016 Guest Editors Prof. Song Guo, The University of Aizu, Japan, [email protected] Dr. Shui Yu, Deakin University, Australia, [email protected], Prof. Jie Li, University of Tsukuba, Japan, [email protected] Prof. Nirwan Ansari, New Jersey Institute of Technology, USA, [email protected]
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