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Important Dates
Full paper submission deadline:
June 1, 2017
Extend June 15, 2017
Acceptance Notification:
July 1, 2017
Camera Ready Deadline and Registration Due:
July 20, 2017
Conference Date:
Oct.16-19, 2017
Paper

Call for Papers
Call for Papers
Welcome to the 2017 International Conference on Networking and Network Applications (NaNA2017)! The conference seeks papers on all areas of the design and use of the future high performance networks. Topics of interest include, but are not limited to:
Track 1: Wireless Networks
- 5G and Beyond
- Wireless ad hoc, mesh and delay tolerant networks
- Cognitive wireless Networks
- Wireless sensor networks
- Mobile internet and mobile social Network
- Wireless vehicle Networks
- Emerging wireless/mobile applications
- Security & Privacy in wireless networks
- Physical layer and cross-layer security methods
- Signal processing for wireless communications
Track 2: Wired Networks and Data Center (DC) Networks
- Novel architectures and technologies for wired networks
- Wired network survivability
- Wired network control and management
- Advances in routers and switches
- Security & Privacy in wired networks
- Convergence of wired and wireless networks
- DC network architecture & protocols
- DC Storage architecture
Track 3: Network Management, Monitoring, and Automation
- Network Management and Visualization
- Network Monitoring and Industrial Tools and Technologies
- Next Generation Network Administration and Industrial challenges
- Disaster Readiness and Management
- Network Automation
Track 4: Network Applications
- Architecture and systems design for Internet of Things (IoTs)
- IoT applications and services
- End to End / Machine to Machine (M2M) protocols
- Crowd-sourcing and opportunistic IoT
- Innovative algorithms and data analysis techniques for IoTs
- Fundamentals of cloud computing
- Cloud architectures & cloud storage technologies
- Cloud energy efficiency
- Mobile & social cloud
- Big Data theory, applications and challenges
- Big Data placement, scheduling, and optimization
- Big Data design, models and algorithms
- Big Data protection and integrity
- Deployments, test-beds and field trials

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