SmartEdge 2018
Date: Mar 23, 2018 12:00 am – Mar 23, 2018 11:00 am
Location: Athens, Greece
The Second International Workshop on Smart Edge Computing and Networking (SmartEdge 2018)
In Conjunction with IEEE PerCom 2018 (http://www.percom.org/)
We are approaching a fundamental shift in the 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’18 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
- Crowdsourcing 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
Workshop Co-Chairs
- Tamer Nadeem, Virginia Commonwealth University, USA
- Glenn Ricart, US Ignite, USA
- Theodoros Salonidis, IBM T.J. Watson Research Center, USA
TPC Committee (To be finalized)
- Jinzhu Chen, General Motors Research & Development, USA
- Landon Cox, Duke Univ, USA
- Khalid Elgazzar, Univ of Louisiana at Lafayette, USA
- Carol Fung, Virginia Commonwealth University, 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
- Shubham Jain, Old Dominion University, USA
- Ulas Kozat, Huawei, USA
- Rick McGeer, US Ignite, USA
- Tadashi Okoshi, Keio University, Japan
- Giovanni Pau, UPMC - LIP6, France
- Peter Van Roy, Catholic University of Louvain, Belgium
- Moustafa Uddin, Nokia-Bell Labs, USA
- Moustafa Youssef, Egypt-Japan Univ. of Science. & Tech. (E-JUST), Egypt
Submitted by Amy Karns
on
The Second International Workshop on Smart Edge Computing and Networking (SmartEdge 2018)
In Conjunction with IEEE PerCom 2018 (http://www.percom.org/)
We are approaching a fundamental shift in the 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’18 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
- Crowdsourcing 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
Workshop Co-Chairs
- Tamer Nadeem, Virginia Commonwealth University, USA
- Glenn Ricart, US Ignite, USA
- Theodoros Salonidis, IBM T.J. Watson Research Center, USA
TPC Committee (To be finalized)
- Jinzhu Chen, General Motors Research & Development, USA
- Landon Cox, Duke Univ, USA
- Khalid Elgazzar, Univ of Louisiana at Lafayette, USA
- Carol Fung, Virginia Commonwealth University, 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
- Shubham Jain, Old Dominion University, USA
- Ulas Kozat, Huawei, USA
- Rick McGeer, US Ignite, USA
- Tadashi Okoshi, Keio University, Japan
- Giovanni Pau, UPMC - LIP6, France
- Peter Van Roy, Catholic University of Louvain, Belgium
- Moustafa Uddin, Nokia-Bell Labs, USA
- Moustafa Youssef, Egypt-Japan Univ. of Science. & Tech. (E-JUST), Egypt