Call for Papers
Workshop on Enabling Real-time Edge Data Analytics through Edge Device Cloud for Intelligent Applications
The device ecosystem is growing rapidly these days. Besides, the volume, the variety and value of devices are simply mesmerizing. Due to continuous innovations in the device landscape and the faster stability and maturity of a bevy of enabling technologies, we have been hearing about, reading, and even experiencing scores of state-of-the-art devices. In short, our everyday devices are accordingly instrumented, systematically interconnected and artistically intelligent to be convenient and relevant for us.
With the faster adoption of edge technologies such as single board computers (SBCs), programmable logic controllers (PLCs), robots, drones, advanced processors (GPUs, TPUs, FPGAs, etc.), microchips, path-breaking actuators, minuscule sensors, tags, codes, stickers and controllers, illuminating beacons, LEDs, etc., all kinds of physical, mechanical, electrical and electronics systems in our everyday environments are empowered technologically to join in the mainstream computing.
Precisely speaking, the edge era is all set to dawn on us in a dramatic and decisive way. Having understood the profound significance of edge/fog devices for realizing deeper automation and augmentation in setting up and sustaining next-generation business and people-centric applications, we have methodically designed and developed a highly reliable, robust and versatile edge applications development and deployment platform. The distinct trait and tenet of this edge platform is the usage of microservices architecture (MSA), event-driven architecture (EDA), containerization, orchestration platforms, in-memory databases, etc. Topics of interests include:
- The Explosion of IoT Devices
- Next-Generation IoT Devices Applications and Services
- Edge/Fog Computing
- Serverless Computing at Edge
- Edge device clouds/clusters
- Platforms for Edge Computing
- IoT Device Gateways
- 5G Communication for Sophisticated IoT Applications
- Edge device data analytics (Fast and Streaming Analytics)
- Real-time Edge Applications
- Kubernetes-based lightweight platforms for automated edge application deployment, scaling, scheduling and healing
- Realizing “Intelligence at Edge” through Machine and Deep Learning (ML/DL) Algorithms on Edge Devices
- The Blockchain Technology for IoT Edge Devices and Data Security
- Event Mesh for Integrated and Insightful Applications
- Cloud-native Computing encompassing Edge Clouds
- Microservices Architecture (MSA)
- Event-driven Architecture (EDA)
- Containerization-enablement Platforms
We invite workshop participation through contributions that respond to one or more of the mentioned research questions in 6-10 pages. Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).
Accepted and presented technical papers will be submitted for publication by Springer and made available through SpringerLink Digital Library. Workshop Papers will be published in a dedicated section of the MONAMI Conference Proceedings. Proceedings will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
Paper Submission deadline: 20 July 2020
Notification deadline: 20 August 2020
Camera-ready deadline: 20 September 2020
Pethuru Raj, PhD.
Chief Architect and Vice President
Site Reliability Engineering (SRE) Division
Reliance Jio Infocomm. Ltd. (RJIL)
IT Portal: http://www.peterindia.net/
Google Scholar: https://scholar.google.co.in/citations?user=yaDflpYAAAAJ&hl=en&oi=ao
Chellammal Surianarayanan, PhD.
Department of Computer Science
Bharathidasan University Constituent Arts & Science College
Saini Kavita PhD.
Rajeev Sharma PhD
Sabu M. Thampi, Ph.D.
Sathyan Munirathinam, PhD.
Peter Augustine PhD
Usha Sakthivel PhD.
Dr. Gordon J.A. Hunter
Susila Nagajaran PhD.
Jenn-Wei Lin PhD.
Kayarvizhy N., Ph.D.
Samarjeet Borah, PhD
Sathish A.P. Kumar, Ph.D.
S. Koteeswaran PhD.
Dinesh Peter PhD.
Beaulah Soundarabai PhD.