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The 4th International Workshop on Edge Systems, Analytics and Networking
(EdgeSys'21) co-located with EuroSys 2021 (online)
26 April, 2021 | Edinburgh, Scotland, UK
https://edge-sys.github.io/2021/
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Keynote speakers:

Dr. Volker Hilt - Nokia Bell Labs
Keynote: Edge Clouds - Current State and Future Directions

Bio: Dr. Volker Hilt is Senior Director and Bell Labs Fellow leading the Autonomous Software Systems Research program at Nokia Bell Labs. Volker's work is focused on distributed software systems where he has made contributions in cloud computing, software operations, distributed multimedia systems, content distribution networks, peer-to-peer applications and the Session Initiation Protocol (SIP). He has designed the overload control mechanism for SIP, which has become a key part of today's telecommunication systems. Volker received a Ph.D. in Computer Science in 2001 from the University of Mannheim in Germany. He joined Bell Labs in Holmdel, NJ, USA in 2002 and moved to Stuttgart, Germany in 2012. Volker is a IEEE senior member and has published over 100 papers, Internet drafts and RFCs and holds over 30 patents.

Prof. Eyal de Lara - University of Toronto
Keynote: Storage Systems for the Hierarchical Cloud

Bio: Eyal de Lara is a Professor in the Department of Computer Science at the University of Toronto. His focus is on experimental research on mobile and pervasive computing systems. Prof. de Lara currently servers as editor in chief of ACM GetMobile the flagship publication of ACM SigMobile. His research has been recognized with the EuroSys Test of Time Award, an IBM Faculty Award, an NSERC Discovery Accelerator Award, the 2012 CACS/AIC Outstanding Young Computer Science Researcher Prize, and two best paper awards.


Accepted Papers:

"Snowflakes at the Edge: A Study of Variability among NVIDIA Jetson AGX Xavier Boards" - H. Abdelhafez, H. Halawa, K. Pattabiraman, M. Ripeanu (University of British Columbia)

"Rearchitecting Kubernetes for the Edge" - Andrew Jeffery, Heidi Howard, Richard Mortier (University of Cambridge)

"Edgedancer: Secure Mobile WebAssembly Services on the Edge" - M. Nieke, L. Almstedt, R. Kapitza (TU Braunschweig)

"Increasing Traffic Safety with Real-Time Edge Analytics and 5G" - I. Lujic, V. De Maio, I. Brandic (Vienna University of Technology), K. Pollhammer (Swarco Futurit), I. Bodrozic, J. Lasic (Vienna University of Technology)

"Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems" - R. Danicki, M. Haug, I. Behnke, L. Mädje, L. Thamsen (TU Berlin)

"Accelerated Training via Device Similarity in Federated Learning" - Y. Wang, J. Wolfrath, N. Sreekumar, D. Kumar, A. Chandra (University of Minnesota, Twin Cities)

"Privacy-Preserving Crowd-Monitoring Using Bloom Filters and Homomorphic Encryption" - V. Stanciu, M. van Steen (University of Twente), C. Dobre (University Politehnica of Bucharest), A. Peter (University of Twente)

"Towards a Computing Platform for the LEO Edge" - T. Pfandzelter, J. Hasenburg, D. Bermbach (TU Berlin & Einstein Center Digital Future)

"EdgeNet: A Multi-Tenant and Multi-Provider Edge Cloud" - B. Senel (Sorbonne Université), M. Mouchet (LIP6), J. Cappos (NYU Tandon School of Engineering), O. Fourmaux, T. Friedman (Sorbonne Université), R. McGeer (US Ignite)

"Scheduling Continuous Operators for IoT Edge Analytics" - N. Patient, N. Georgantas (Inria Paris, France), V. Christophides (ENSEA, ETIS, France)

"Towards Federated Learning with Attention Transfer to mitigate System and Data Heterogeneity of Clients" - H. Shi, V. Radu (University of Sheffield)

"AlertMe: Towards Natural Language-Based Live Video Trigger Systems at the Edge" - N. Ye, Z. Hu, C. Phillips, I. Mohomed (Samsung AI)

"eCaaS: A Management Framework of Edge Container as a Service for Business Workload" - L. Cao, A. Mercian, D. Tootaghaj, F. Ahmed, P. Sharma (HP Labs), V. Saxena (HP Enterprise)

Workshop Synopsis:

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 decentralized edge computing paradigm aims to offer
efficient access to various geographically distributed computing
resources. In this context, the EdgeSys workshop focuses on the
confluence of edge computing, decentralized communication and
distributed computing. For example, there are several industry-led edge
computing and orchestration platforms such as KubeEdge, Firecracker, and
Azure Sphere. In the decentralized communication space, systems such as
Mastodon and Matrix have been developed. There are also lots of academic
research activities on mobile data and computation offloading (e.g.,
Cloudlet, Talket, ThinkAir, MAUI, and MADNet) and systems that combine
decentralization and computation/storage offloading together, such as
IPFS. 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 4th International Workshop on Edge Systems, Analytics and Networking
(EdgeSys'21), in conjunction with ACM EuroSys 2021, 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'21 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.

Over the past three years, EdgeSys has been gathering substantial
community contributions in edge computing domain - especially with high
quality TPC, keynotes, panel and technical papers from US, Europe, and
Asia, including Google, Amazon, Facebook, Microsoft Research, Intel,
IBM, Nokia, Samsung, Toyota, Telefonica, MIT, Berkeley, Columbia, Yale,
UCLA, Cambridge, Imperial, EPFL, TU Delft, MPI, TUM, Tsinghua, Peking
and Fudan.

The topics include but are not limited to the following:

- System Architecture for Edge Computing
- Serverless and In-network Computing (P4)
- Edge Storage Systems
- Edge-driven Data Analytics
- Distributed Machine Learning for Edge Analytics and 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 IoT Communications
- (Autonomous) Management of Edge Systems
- TinyML for Edge Systems
- Machine Learning for Edge Networking
- Security and Trust Management

Workshop & TPC Chairs:
Aaron Ding (TU Delft, Netherlands)
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)
Dirk Kutscher (Hochschule Emden, Germany)
Dieter Kranzlmuller (University of Munich | LRZ, Germany)
Peter Pietzuch (Imperial College London, UK)

Technical Program Committee:
Babak Alipour (Apple, USA)
Jari Arkko (Ericsson, Finland)
Antonio Barbalace (University of Edinburgh, UK)
Yang Chen (Fudan University, China)
Claudio Cicconetti (IIT-CNR, Italy)
Nigel Davies (Lancaster University, UK)
Ferran Diego (Telefónica Research, Spain)
Lars Eggert (NetApp, Finland)
Bryan Ford (EPFL, Switzerland)
James Gross (KTH, Sweden)
Paola Grosso (University of Amsterdam, Netherlands)
Geert Heijenk (University of Twente, Netherlands)
Wenjun Hu (Yale University, USA)
Junchen Jiang (University of Chicago, USA)
Sven Karlsson (DTU, Denmark)
Matthias Kovatsch (Huawei Research, Germany)
Shen Li (Facebook, USA)
Grace Liu (Carnegie Mellon University, USA)
Jonathan Mace (Max Planck Institute, Germany)
Iqbal Mohomed (Samsung AI, Canada)
Roberto Morabito (Princeton University, USA)
Shadi Noghabi (Microsoft Research, USA)
Jörg Ott (TU Munich, Germany)
Ingmar Poese (BENOCS, Germany)
Qifan Pu (Google, USA)
Eve Schooler (Intel, USA)
Pieter Simoens (imec - Ghent University, Belgium)
Georgios Smaragdakis (TU Berlin, Germany)
Burkhard Stiller (University of Zurich, Switzerland)
Nikolay Tcholtchev (Fraunhofer FOKUS, Germany)
Alex Uta (Leiden University, Netherlands)
Shiqiang Wang (IBM, USA)
Martijn Warnier (TU Delft, Netherlands)
Chenren Xu (Peking University, China)
Ennan Zhai (Alibaba, USA)
Fusang Zhang (Chinese Academy of Science, China)

Publicity Chair:
Matthew Danish (University of Cambridge, UK)

Web Chair:
Wiebke Toussaint (TU Delft, Netherlands)