[Apologies if you receive multiple copies of this.]

CFP: ACM MobiSys Workshop on Edge Systems, Analytics and Networking
(EdgeSys 2018)
https://www.sigmobile.org/mobisys/2018/workshops/edgesys18/

Given the growing demand for real-time gathering and processing of vast
amount of data from data-intensive services such as autonomous driving and
augmented reality (AR), we are witnessing a visible trend to push computing
and data analytics closer to the edge of networks for benefits in low
latency, reliability, throughput, security and privacy. Supported by
lightweight virtualization technologies such as Docker Containers and
Unikernels, the edge computing paradigm aims to offer efficient access to
various geographically distributed computing resources. The active research
work on mobile data and computation offloading (e.g., Cloudlet, Tasklet,
ThinkAir, and MAUI) also support this vision. In addition, as data
analytics and machine learning are increasingly offered as a service, the
next phase of evolution is to extend the offerings beyond basic algorithms
and push the analytics closer to the edge where the data from users and
devices is first captured. In this regard, edge computing has the potential
to enable a new class of real-time data analytics platforms and services.
We expect such edge-driven data analytics will emerge and reshape the
existing cloud-based data processing pipelines. The knowledge from this new
edge pipeline can further power future cyber-physical and network services,
such as cognitive assistance and proactive accident prevention for
autonomous driving.

The 1st International Workshop on Edge Systems, Analytics and Networking
(EdgeSys 2018), in conjunction with ACM MobiSys 2018, aims to bring
together system researchers, data scientists, engineers and practitioners
to identify open directions and discuss the latest research ideas and
results on edge systems, analytics and networking, especially those related
to novel and emerging technologies and use cases. The EdgeSys '18 workshop
focuses on systems, analytics and networking aspects, covering system
architecture, distributed ML algorithms, decentralized networking,
distributed consensus and ledger techniques, edge services and data
analysis. The topics include but are not limited to the following:

- System Architecture for Edge Computing
- Communication and Computation Abstractions
- Distributed Machine Learning for Edge Analytics and Services
- Edge-driven Data Analytics
- Novel System and Networking Design for Data-intensive Services
- Edge Security and Privacy
- Lightweight Virtualization for Edge Computing
- Distributed Consensus Algorithms and Ledger Technologies
- Infrastructure and Toolkit for Edge Computing and Analytics
- System Performance and Measurement
- Edge Networking and Communications
- Edge-enabled IoT Services and Application Taxonomy
- (Autonomous) Management for Edge Systems
- Security and Trust Management


Workshop and TPC Chairs:
Aaron Yi Ding (TU Munich, Germany)
Richard Mortier (University of Cambridge, UK)

Steering Committee:
Jon Crowcroft (University of Cambridge, UK)
Henning Schulzrinne (Columbia University, USA)
Steve Uhlig (Queen Mary University of London, UK)
Peter Pietzuch (Imperial College London, UK)
Dieter Kranzlmüller (University of Munich / LRZ, Germany)
Dirk Kutscher (Huawei, Germany)

Technical Program Committee:
Ardalan Amiri Sani (UC Irvine, USA)
Aruna Balasubramanian (Stony Brook University, USA)
Christian Becker (University of Mannheim, Germany)
Yang Chen (Fudan University, China)
Paul Francis (Max Planck Institute, Germany)
Hamed Haddadi (Imperial College London, UK)
Tim Harris (UK)
Wenjun Hu (Yale University, USA)
Pan Hui (UH/HKUST, Finland & Hong Kong)
Marijn Janssen (TU Delft, Netherlands)
Fahim Kawsar (Nokia Bell Labs, UK)
Ilias Leontiadis (Telefónica, Spain)
Shen Li (IBM Research, USA)
Yong Li (Tsinghua University, China)
Dongtao Liu (Google, USA)
Jörg Ott (TU Munich, Germany)
Oriana Riva (Microsoft Research, USA)
Stefan Schmid (University of Vienna, Austria)
Malte Schwarzkopf (MIT, USA)
Sasu Tarkoma (University of Helsinki, Finland)
Carmela Troncoso (EPFL, Switzerland)
Liang Wang (University of Cambridge, UK)
Klaus Wehrle (RWTH Aachen, Germany)
Chenren Xu (Peking University, China)
Tianyin Xu (Facebook, USA)
Ennan Zhai (Yale University, USA)

Publicity Chairs:
Lei Jiao (University of Oregon, USA)
Mayutan Arumaithurai (University of Göttingen, Germany)

Web Chair
Vittorio Cozzolino (TU Munich, Germany)

Submission Guidelines
Authors are encouraged to submit papers describing original and unpublished
research, not currently under review in other venues. In particular,
innovative, early-stage ideas and preliminary results are welcome. Papers
must be submitted electronically as PDF files, formatted for 8.5x11-inch
paper. The length of the paper must be no more than 6 pages in the ACM
double-column format (10-pt font), including references and everything.
Authors are suggested to use the ACM Master article template. The reviews
will be single blind. The first page must contain an abstract, the name(s)
and affiliation(s) of the author(s), as well as the corresponding contact
information. Each submission will receive independent, blind peer reviews
from the program committee. Accepted papers will be published in the ACM
Digital Library. At least one of the authors of every accepted paper must
register and present the paper at the workshop. The program committee will
elect one paper for the Best Paper Award.

Important Dates
Submission deadline: April 6, 2018
Acceptance notification: April 27, 2018
Camera ready: May 4, 2018
Workshop date: June 10, 2018

Submission Link: https://edgesys18.hotcrp.com/


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