SmartEdge 2017 - First International Workshop on Smart Edge Computing and Networking (SmartEdge 2017)

The First International Workshop on Smart Edge Computing and Networking (SmartEdge 2017)
http://swimsys.cs.odu.edu/SmartEdge/
In Conjunction with IEEE PerCom 2017 (http://www.percom.org/)
March 13-17, Kona, Big Island, Hawaii, USA
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We are approaching a fundamental shift in computational era as the number of smart edge devices (e.g., smartphones, tablets, smart watches, smart glasses, smart meters, connected vehicles, etc.) is expected to exceed 4 billion by the end of 2018. Recent surveys on mobile consumers show that these edge devices become the significant source for wireless data access as well as data generation. While edge devices generate a vast amount of valuable data, the same devices also offer a massive infrastructure for computing. Similarly, smartphones already possess more storage capacity than all servers combined. For example, it is expected that the collective computing and storage capacity of smartphones will surpass all worldwide servers by 2017. Moreover, it is expected that individual devices will exhibit server-like features in the coming decade.
The rapid growth of peer sharing businesses have shown that individuals are increasingly willing to share their homes, cars, and even meals when they are rewarded for it. It is reasonable, then, to infer that the owners of the devices will be willing to share their data and infrastructure in return for a reward. Developments in technologies to address the trust deficit, such as blockchain and other decentralized consensus systems, can enable untrusted parties to transact. Moreover, the explosion of edge devices coupled with a growing proliferation of cloud-based applications, requires a new breed of intelligent edge computing infrastructures to deliver optimal performance to a variety of users, devices and applications sharing the network edge.
SmartEdge’17 aims at bringing together experts from several research communities spanning pervasive & mobile computing, wireless networks, embedded systems, Internet of Things, big data, and data analytics to discuss data needs and interests, challenges to be addressed, tools to be developed, and new research problems on edge wireless infrastructure, edge mobile systems, rich set data accessed or generated by edge devices and the Internet of Things.
Topics covered include, but are not limited to:
* Edge systems, applications and services
* Interactions between the edge and the cloud
* Architecture of edge systems
* Wireless communications and networking architecture for edge systems
* Resource indexing, monitoring, and metering
* Device-to-Device communication and cooperation
* Fault-tolerance, availability and replication for the edge
* Collective context awareness
* Edge-based data management and data analytics
* Edge-based quality of service and experience
* Load balancing and resource management for the edge
* Edge authentication, authorization, and billing
* Security and privacy for edge systems
* Blockchain and other consensus approach for edge systems
* Internet-of-Things, fog computing, cloud-let computing
* Energy efficiency and spectral efficiency enhancements for the edge
* Programming models and toolkits for edge systems
* Software defined networking (SDN) for the edge
* Co-existence of wireless technologies in the edge
* Crowd sourcing and crowd sensing for edge systems
* Buffering, queuing, and caching in the edge
* Edge-based cyber-physical solutions
* Smart devices and wearable technologies
* Self-driving and connected vehicles, V2V/V2X
* Human factors for edge computing
* Machine learning techniques for smart mobile and edge systems
* Mobile augmented reality systems on the edge
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Workshop Co-Chairs
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Tamer Nadeem, Old Dominion Univ., USA
Nirmit Desai, IBM T.J. Watson Research Center, USA
Theodoros Salonidis, IBM T.J. Watson Research Center, USA
TPC Committee (To be finalized)
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- Rajesh Balan, Singapore Management University, Singapore
- Nilanjan Banerjee, University of Maryland-Baltimore, USA
- Jinzhu Chen, General Motors Research & Development, USA
- Landon Cox, Duke Univ, USA
- Abhimanyu Gosain, Raytheon BBN Technologies, USA
- Emir Halepovoc, AT&T Research Labs, USA
- Khaled Harras, CMU, Qatar
- Ahmed Helmy, University of Florida, USA
- Pan Hui, Hong Kong University of Science and Technology, Hong Kong
- Puneet Jain, HP Labs, USA
- Ulas Kozat, Huawei, USA
- Sung-Ju Lee, KAIST, Korea
- Bong Jun Ko, IBM TJ Watson Research Center, USA
- Tadashi Okoshi, Keio University, Japan
- Stephan Olariu, Old Dominion Univ., USA
- Giovanni Pau, UPMC - LIP6, France
- Souvik Sen, Google, USA
- Moustafa Uddin, Nokia-Bell Labs, USA
- Moustafa Youssef, Egypt-Japan Univ. of Science. & Tech. (E-JUST), Egypt
Submission Guidelines
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Authors are invited to submit original unpublished work, not currently under review by other conferences, workshops or journals. Full papers should be restricted to 6 camera-ready pages (in 10pt font, double column, US letter size, 8.5 x 11 inches, IEEE format), including text, figures and references. Authors must follow the formatting guidelines at http://www.percom.org/?q=cfp and http://www.computer.org/portal/web/cscps/formattin.... Papers must be submitted electronically to https://edas.info./newPaper.php?c=22944
Key Dates
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Submission Deadline: November 25, 2016 (11:59 PM Anywhere on Earth)
Acceptance Notification: December 23, 2016
Camera-Ready Deadline: January 13, 2017