Fog/Edge computing is a hierarchical approach where the overall infrastructure is structured in multiple layers, each responsible of offering a good coordination and data management to the nodes at the lower layer. Combining Sustainable computing with Fog and Edge computing represents a new approach for increasing quality-of-service and efficiency of the system such as high-performance visual processing techniques, creating the capability to present temporal and geo-coded information, and increase innovation, co-creation and co-designing sustainable future large scale distributed systems.

This new paradigm appears to offer a good approach in handling the scale factor of the data size, reducing the network bandwidth usage and the response latency of the system. In order to support specifically the Fog/Edge architectures, there is a need, for instance, of location-awareness and computation placement, replication and recovery. In many cases Edge resources would be required for both computation and data storage to address the time and locality constraints. There are multiple kinds of orchestration management solutions for virtualization in this type of architecture with different characteristics and drawbacks. This results in different restrictions for application definition, scalability, availability, load balancing and so on. Also, virtualization may be needed at multiple levels in a Fog/Edge architecture as it consists of the following levels of abstraction: at the sensing level we have the IoT devices/smart things (smart sensors that may be mobile and connected within a network), at the Edge level there are the gateways to a first collection and the data from the IoT devices and their preliminary processing, at the Fog level we have an additional data management layer, and at the Cloud level there is the compute/storage infrastructure with applications on top. Last, but not least, the energy efficiency is particularly important at the IoT and edge level since the devices may be equipped with a limited battery, possible difficult or impossible to be charged. So, optimizing the energy consumption is a must. Such an optimization is also needed at the other level, but for different reasons, related to the reduction of the operational costs or the ecological reasons.

To address several open research issues regarding sustainability of future Fog/Edge systems, this SFECS track at ACM SAC 2019 aims at solicit contributions highlighting challenges, state-of-the-art, and solutions to a set of currently unresolved key questions including ? but not limited to ? performance, modelling, optimization, energy-efficiency, reliability, security, privacy and techno-economic aspects of Fog/Edge systems. Through addressing these concerns while understanding their impacts and limitations, technological advancements will be channeled toward more sustainable/efficient platforms for tomorrow?s ever-connected systems.


Topics of Interest
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We plan to include all the important topics related to Sustainable computing and Fog and Edge computing within the SFECS.
These topics include, but are not limited to:
? Fog/Edge architectures for data sensing and processing
? Interoperability among Fog/Edge systems
? Big data analytics in Fog/Edge systems
? Optimization models and techniques to process data in Fog/Edge systems
? Social aspects in adopting Fog/Edge paradigms
? Security and privacy issues in Fog/Edge systems
? Dynamic resource, service and context management in Fog/Edge computing systems
? Resources and power management in sustainable Fog/Edge networks
? Energy Efficient routing protocols and data management schemes
? High-performance and parallel learning in sustainable computing
? Privacy-preserving decision-making, learning and classification in sustainable computing
? Sustainable future generation enterprise deep learning based on Fog/Edge Computing
? Sustainability of Fog/Edge platforms for next generation robots? systems
? Simulation and modeling of Fog/Edge systems
? Performance evaluation of Fog/Edge applications, platforms and systems
? Quality of service/experience (QoS/QoE)

Important Dates
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Paper submission: September 10, 2018
Acceptance notification: November 10, 2018
Camera-ready copies: November 25, 2018
Author registration: December 10, 2018


Submission Guidelines
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Authors are invited to submit original and unpublished papers of research and applications for this track. Full papers are limited to 8 pages with the option for up to 2 additional pages. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Only the title should be shown at the first page without the author's information. Papers must be formatted according to the ACM SAC template. Papers that received high reviews but were not accepted due to space limitations can be invited for the poster session. Posters are limited to 3 pages with the option for up to only additional page. For full submission guidelines, please follow the instructions on the ACM SAC 2019 website. Please submit your contribution via SAC 2019 Web page.



Registration
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Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of scheduled papers and posters will result in excluding them from the ACM digital library.



Student Research Competition (SRC) Program
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Graduate students are invited to submit research abstracts (maximum of 4 pages in ACM camera-ready format) following the instructions published at SAC 2019 website. Submission of the same abstract to multiple tracks is not allowed. All research abstract submissions will be reviewed by expert reviewers and practitioners. Authors of selected abstracts will have the opportunity to give poster presentations of their work and compete for three top-winning places. The SRC committee will evaluate and select the first-, second-, and third-place winners. The winners will receive medals and cash awards. Winners will be announced during the conference banquet. Authors of selected abstracts are eligible to apply to the SIGAPP Student Travel Award program for financial support. Please submit your contribution via SAC 2019 Web page.


Track Chair
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- Christian Esposito, University of Napoli ?Federico II?, Italy (christian.esposito@unina.it)
- Florin Pop, University Politehnica of Bucharest, Romania (florin.pop@cs.pub.ro)
- Chang Choi, Chosun University, Rep. of Korea (enduranceaura@gmail.com)


E-mail contact: christian.esposito@unina.it
Homepage: https://sfecs.antares.cloud/

Program Committee Members
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Ugo Fiore, University of Napoli Parthenope, Italy
Marta Chinnici, ENEA, Italy
Aniello Castiglione, University of Salerno, Italy
Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA
Catalin Negru, University Politehnica of Bucharest, Romania
Mariana Mocanu, Uiversity Politehnica of Bucharest, Romania
Florina M. Ciorba, University of Basel, Switzerland
Craig Sheridan, flexiOPS, United Kingdom
Jun Zhang, South China University of Technology, China
Xin Su, Hohai University, China
Valentina Casola, University of Napoli Federico II, Italy
Yu Yong, Shaanxi Normal University, China
Brij B. Gupta, National Institute of Technology Kurukshetra, India
Aniruddha Gokhale, Vanderbilt University, USA
Md Zakirul Alam Bhuiyan, Fordham University, USA
Arun Kumar, VIT University, India
Haoxiang Wang, GoPerception Laboratory, USA
Hsing-Chung Chen, Asia University, Taiwan
Jonghyouk Lee, Sangmyung University, Korea
Fang-Yie Leu, Tunghai University, Taiwan
Kyungroul Lee, Soonchunhyang University, Korea
Marek Ogiela, AGH University of Science and Technology, Poland
Lidia Ogiela, AGH University of Science and Technology, Poland
Wissam Mallouli, Montimage, France
Erkuden Rios, Tecnalia, Spain
Ana Cavalli, Institut National des Telecommunications, France
Francesco Piccialli, University of Naples “Federico II”, Italy
Muhammad Younas, Oxford Brookes University, UK