SmartEdge'20 - Converted to Digital
Date: Mar 23, 2020 7:00 am – Mar 27, 2020 6:00 pm
Location: Austin, TX
COVID-19 Update
PerCom 2020 is still scheduled to happen March 23-27 but in an entirely virtual format. Given the options of canceling PerCom 2020 entirely or shifting to a remote format, we have chosen the latter. More information about logistics of the remote meeting will be forthcoming, but please feel free to reach out with more questions. To reiterate, PerCom 2020 will happen online, March 23-27.
The Fourth International Workshop on Smart Edge Computing and Networking (SmartEdge'20)
In Conjunction with IEEE PerCom 2020
Overview
We are approaching a fundamental shift in the computational era as the number of connected smart devices and Internet of Things (IoT) devices (e.g., smartphones, tablets, smart watches, smart glasses, smart meters, connected vehicles, etc.) are expected to exceed several billions in the next few years. Recent studies show that it is expected that the amount of data generated at the edge of the Internet by smart and IoT devices will be vast, incredibly rich, extremely valuable, and becoming the key enabler for data-rich edge systems and applications in several smart computing domains like smart homes, connected health, and smart cities. Therefore, it becomes very obvious that it's far more efficient and practical to manage and process data as close to its source as possible (the edge of the Internet) instead of a massive and centralized traditional storage (the cloud).
Moreover, in recent years, the world has seen many major breakthroughs in the machine learning (ML) and artificial intelligence (AI) research. By integrating the advances in smart devices and edge systems with the advances in machine learning, the future role of smart edge systems, networks, and applications is becoming limitless and it's expected to revolutionize the future of the world within the next few years. This is especially important as edge systems generate ever-growing and evolving collections of data, calling for dedicated ML/AI techniques capable of handling streaming and lifelong learning problems.
SmartEdge'20 aims at bringing together experts from several research communities spanning pervasive & mobile computing, wireless networks, embedded systems, Internet of Things, machine learning, 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. Papers describing prototype implementations of edge applications and systems are particularly welcome.
Topics of interest include, but are not limited to the following:
- Architecture of edge systems.
- Buffering, queuing, and caching at the edge.
- Blockchain and other consensus approach for edge systems.
- Co-existence of wireless technologies at the edge.
- Device-to-Device communication and cooperation.
- Data collection and analytic techniques for mobile systems and applications.
- Edge systems, applications and services.
- Edge-based data management and data analytics.
- Edge-based quality of service and experience.
- Edge authentication, authorization, and billing.
- Edge-based cyber-physical solutions.
- Energy efficiency and spectral efficiency enhancements for the edge.
- Fault-tolerance, availability and replication for the edge.
- Human factors for edge computing.
- Interactions between the edge and the cloud.
- Internet-of-Things, fog computing, cloud-let computing and related ideas.
- Load balancing and resource management for the edge.
- Machine learning techniques for cloud and edge systems, mobile sensing, applications and services.
- Machine learning for Internet of Things (IoT) devices, smart cities and cyber-physical systems.
- Mobile augmented reality and virtual reality systems on the edge.
- Programming models and toolkits for edge systems.
- Personalized/transfer learning for edge mobile systems.
- Resource indexing, monitoring, and metering.
- Security and privacy for edge systems.
- Software defined networking (SDN) for the edge.
- Smart devices and wearable technologies.
- Self-driving and connected vehicles, V2V/V2X.
- Theoretical foundations of machine learning for edge systems and applications.
- Wireless communications and networking architecture for edge systems.
SmartEdge'20 Co-Chairs
- Tamer Nadeem, Virginia Commonwealth University, USA
- Glenn Ricart, US Ignite, USA
- Theodoros Salonidis, IBM Research, USA
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on
COVID-19 Update
PerCom 2020 is still scheduled to happen March 23-27 but in an entirely virtual format. Given the options of canceling PerCom 2020 entirely or shifting to a remote format, we have chosen the latter. More information about logistics of the remote meeting will be forthcoming, but please feel free to reach out with more questions. To reiterate, PerCom 2020 will happen online, March 23-27.
The Fourth International Workshop on Smart Edge Computing and Networking (SmartEdge'20)
In Conjunction with IEEE PerCom 2020
Overview
We are approaching a fundamental shift in the computational era as the number of connected smart devices and Internet of Things (IoT) devices (e.g., smartphones, tablets, smart watches, smart glasses, smart meters, connected vehicles, etc.) are expected to exceed several billions in the next few years. Recent studies show that it is expected that the amount of data generated at the edge of the Internet by smart and IoT devices will be vast, incredibly rich, extremely valuable, and becoming the key enabler for data-rich edge systems and applications in several smart computing domains like smart homes, connected health, and smart cities. Therefore, it becomes very obvious that it's far more efficient and practical to manage and process data as close to its source as possible (the edge of the Internet) instead of a massive and centralized traditional storage (the cloud).
Moreover, in recent years, the world has seen many major breakthroughs in the machine learning (ML) and artificial intelligence (AI) research. By integrating the advances in smart devices and edge systems with the advances in machine learning, the future role of smart edge systems, networks, and applications is becoming limitless and it's expected to revolutionize the future of the world within the next few years. This is especially important as edge systems generate ever-growing and evolving collections of data, calling for dedicated ML/AI techniques capable of handling streaming and lifelong learning problems.
SmartEdge'20 aims at bringing together experts from several research communities spanning pervasive & mobile computing, wireless networks, embedded systems, Internet of Things, machine learning, 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. Papers describing prototype implementations of edge applications and systems are particularly welcome.
Topics of interest include, but are not limited to the following:
- Architecture of edge systems.
- Buffering, queuing, and caching at the edge.
- Blockchain and other consensus approach for edge systems.
- Co-existence of wireless technologies at the edge.
- Device-to-Device communication and cooperation.
- Data collection and analytic techniques for mobile systems and applications.
- Edge systems, applications and services.
- Edge-based data management and data analytics.
- Edge-based quality of service and experience.
- Edge authentication, authorization, and billing.
- Edge-based cyber-physical solutions.
- Energy efficiency and spectral efficiency enhancements for the edge.
- Fault-tolerance, availability and replication for the edge.
- Human factors for edge computing.
- Interactions between the edge and the cloud.
- Internet-of-Things, fog computing, cloud-let computing and related ideas.
- Load balancing and resource management for the edge.
- Machine learning techniques for cloud and edge systems, mobile sensing, applications and services.
- Machine learning for Internet of Things (IoT) devices, smart cities and cyber-physical systems.
- Mobile augmented reality and virtual reality systems on the edge.
- Programming models and toolkits for edge systems.
- Personalized/transfer learning for edge mobile systems.
- Resource indexing, monitoring, and metering.
- Security and privacy for edge systems.
- Software defined networking (SDN) for the edge.
- Smart devices and wearable technologies.
- Self-driving and connected vehicles, V2V/V2X.
- Theoretical foundations of machine learning for edge systems and applications.
- Wireless communications and networking architecture for edge systems.
SmartEdge'20 Co-Chairs
- Tamer Nadeem, Virginia Commonwealth University, USA
- Glenn Ricart, US Ignite, USA
- Theodoros Salonidis, IBM Research, USA