SEC 2019 (The Fourth ACM/IEEE Symposium on Edge Computing)

Thursday, Nov 7
8:00-9:00	Breakfast (Virginia Foyer)
9:00-9:10	Welcome Remarks
9:10-10:10	Keynote Speech 1: Democratization of the Edge Speaker: Sujata Tibrewala (Intel)
10:10-10:40	Cofffee Break
10:40-12:00	Session I - Edgy Resource Management (Adams/Madison/Washington) Session chair: Christopher Stewart 1. Linearize, Predict and Place: Minimizing the Makespan for Edge-based Stream Processing of Directed Acyclic Graphs. Shweta Khare, Hongyang Sun (Vanderbilt University); Julien Gascon-Samson, Kaiwen Zhang (ÉTS Montréal); Yogesh Barve, Anirban Bhattacharjee, Aniruddha Gokhale, Xenofon Koutsoukos (Vanderbilt University) 2. LinkShare: Device-Centric Control for Concurrent and Continuous Mobile-Cloud Interactions. Bo Hu, Wenjun Hu (Yale University) 3. Sandpaper: Mitigating performance interference in CDN edge proxies. Jeffrey Helt (Princeton University); Guoyao Feng, Srinivasan Seshan, Vyas Sekar (Carnegie Mellon University) 4. DeFog: Fog Computing Benchmarks. Jonathan McChesney, Nan Wang (Queen's University Belfast); Ashish Tanwer (Cisco Systems); Eyal de Lara (University of Toronto); Blesson Varghese (Queen's University Belfast)
12:00-13:30	Lunch (Crystall Ballroom)
13:30-14:30	Panel : Edge Computing: Where are we today and what’s next? Moderator: Weisong Shi (Wayne State University) Panelists: Victor Bahl (Technical Fellow, Microsoft), Gaurav Chawla (VP / Fellow, Server and Infrastructure Systems, Office of the CTO, Dell EMC), Schahram Dustdar (TU Wien), Matt Mutka (Michigan State University and National Science Foundation), Humberto J. La Roche (Principal Engineer at Cisco Systems)
14:30-15:50	Session II - Apps (killer?) at the edge (Adams/Madison/Washington) Session chair: Yuanchao Shu 1. E2M: An Energy-Efficient Middleware for Computer Vision Applications on Autonomous Mobile Robots. Liangkai Liu, Jiamin Chen, Marco Brocanelli, Weisong Shi (Wayne State University) 2. Managing Edge Resources for Fully Autonomous Aerial Systems. Christopher Stewart, Jayson Boubin, Naveen T.R. Babu, John Chumley, Shiqi Zhang (The Ohio State University) 3. F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point. Qi Chen, Xu Ma, Sihai Tang, Jingda Guo, Qing Yang, Song Fu (University of North Texas) 4. I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making. Seyed Yahya Nikouei, Yu Chen (Binghamton University); Alexander Aved, Erik Blasch (U.S. Air Force Research Laboratory); Timothy R. Faughnan (Binghamton University)
15:50-16:20	Cofffee Break
16:20-18:00	Poster Session (Virginia Foyer)
18:00-20:30	Banquet and Awards

Friday, Nov 8
8:00-9:00	Breakfast (Virginia Foyer)
9:00-10:00	Keynote Speech 2: Driving Data to the Edge Speaker: Ken-ichi Murata (Project General Manager – Connected Strategy, Connected Company, Toyota Motor Corporation and President & Chair of Board of Directors, Automotive Edge Computing Consortium)
10:00-10:30	Cofffee Break
10:30-11:50	Session III - Mobile & Wearable Devices (Adams/Madison/Washington) Session chair: Yifan Zhang 1. RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge. Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry Heck (Samsung Research America) 2. Exploring the Capabilities of Mobile Devices in Supporting Deep Learning. Yitao chen, Saman Biookaghazadeh, Ming Zhao (Arizona State University) 3. Collaborative Learning of Human Behavior: An Empirical Study on Location Prediction. Yan Lu (New York University), Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen (Microsoft Research), Dan Pei (Tsinghua University) 4. Towards Scalable Edge-Native Applications. Junjue Wang, Ziqiang Feng, Shilpa George, Roger Iyengar (Carnegie Mellon University); Pillai Padmanabhan (Intel Labs); Mahadev Satyanarayanan (Carnegie Mellon University)
11:50-13:00	Lunch (Crystall Ballroom)
13:00-14:20	Session IV - The Bleeding Edge of Machine Learning （Adams/Madison/Washington) Session chair: Mahadev Satyanarayanan 1. DeepSave: Saving DNN Inference During Handovers on the Edge. Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou (The University of Sydney) 2. Couper: DNN Model Slicing for Visual Analytics Containers at the Edge. Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska (Georgia Institute of Technology) 3. Adaptive Parallel Execution of Deep Neural Networks on Heterogeneous Edge Devices. Li Zhou, Mohammad Hossein Samavatian (The Ohio State University); Anys Bacha (University of Michigan); Saikat Majumdar, Radu Teodorescu (The Ohio State University) 4. Collaborative Cloud-Edge Computation for Personalized Driving Behavior Modeling. Xingzhou Zhang (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; Wayne State University); Mu Qiao (IBM Research - Almaden); Liangkai Liu (Wayne State University); Yunfei Xu (DENSO International America Inc); Weisong Shi (Wayne State University)
14:20-14:50	Cofffee Break
14:50-16:10	Session V - Robust Systems and Services (Adams/Madison/Washington) Session chair: Padmanabhan Pillai 1. Infrastructure Fault Detection and Prediction in Edge Cloud Environments. Mbarka Soualhia (Ecole Polytechnique Montreal); Chunyan Fu (Ericsson); Foutse Khomh (École Polytechnique de Montréal) 2. CSPOT: Portable, Multi-scale Functions-as-a-Service for IoT. Rich Wolski, Chandra Krintz, Fatih Bakir, Gareth George, Wei-Tsung Lin (UC Santa Barbara) 3. Why Cloud Applications Are not Ready for the Edge (yet). Chanh Nguyen, Amardeep Mehta, Cristian Klein (Umeå University), Erik Elmroth (Umeå university) 4. Quartz: Time-as-a-Service for Coordination in Geo-Distributed Systems. Sandeep Dsouza, Raj Rajkumar (Carnegie Mellon University); Heiko Koehler, Akhilesh Joshi, Satyam Vaghani (Nutanix Inc.)
16:10-17:30	Ph.D. Forum (Adams/Madison/Washington)

ArchEdge, Nov 9 (Washington I)
8:20-8:40	Introduction and Opening Remarks Speaker: Yiran Chen (Duke University)
8:40-10:30	Keynote Session Moderator: Yiran Chen 8:40-9:40 Title: A Vision towards Pervasive Edge Computing Speaker: Yuanyuan Yang (National Science Foundation) 9:40-10:30 Title: Unified Memory-Computing Architecture with Memristive Devices Speaker: Qing Wu (Air Force Research Laboratory)
10:30-10:40	Coffee Break
10:40-12:00	Session I - Accelerator Design for Edge Computing Session chair: Xiang Chen (George Mason University) 10:40–11:00 1. Accelerate Service Live Migration in Resource-limited Edge Computing Systems Zhe Zhou, Peking University 11:00–11:20 2. PAPS: Power Budget-Aware Pipeline Scheduling for an Embedded ReRAM-based Accelerator Keni Qiu, Capital Normal University 11:20–11:40 3. High Speed and Energy Efficient Deep Neural Network for Edge Computing Yang Yi, Virginia Tech 11:40–12:00 4. Lightweight Prediction Based Acceleration for Neural Network Inference Min Li, The Chinese University of Hong Kong
12:00-13:10	Lunch
13:10-14:30	Session II - Edge Computing Network and Application Session chair: Chenchen Liu (University of Maryland Baltimore County) 13:10-13:30 1. An Efficient Mobile-Edge Collaborative System for Video Photorealistic Style Transfer Ang Li, Duke University 13:30–13:50 2. Lightning Talk: From Cloud to Edge, Are You Ready? Bin Ni, Quantil Inc. 13:50–14:10 3. Practical Challenges of Edge Computing, and Its Collaboration with Stream Computing Zhixin Liu, Water Mirror 14:10-14:30 4. Delay-Constrained Offloading of Computationally Intensive Workloads in Edge Computing Haibo Zeng, Virginia Tech
14:30-14:40	Coffee Break
14:40-15:20	Session II (continue) 14:40–15:00 5. Machine Learning Enabled Distributed Mobile Edge Computing Network Lingjia Liu, Virginia Tech 15:00–15:20 6. Embedded Sensory Data Memory Optimization for IoT Edge Inference with Privacy, Accuracy, and Energy Efficiency Li Min, South Alabama University
15:30-16:30	Panel : How Edge will Reshape Computing Architecture? Moderator: Alec Koppel (U.S. Army Research Laboratory) Panelists: Sandip Kundu (National Science Foundation), Bin Ni (Quantil Inc.), Robinson E. Pino (Department of Energy), Qing Wu (Air Force Research Laboratory)

HotWot, Nov 9 (Washington II)
8:15-8:30	Introduction and Opening Remarks Speaker: Yiran Chen (Duke University)
8:30-10:00	Keynote Session Moderator: Yiran Chen 8:30-9:15 Title: A Vision towards Pervasive Edge Computing Speaker: Yuanyuan Yang (National Science Foundation) 9:15-10:00 Title: Unified Memory-Computing Architecture with Memristive Devices Speaker: Qing Wu (Air Force Research Laboratory)
10:00-10:30	Coffee Break
10:30-12:10	Session I - WoT Security and Systems Session chair: Xiaohui Peng (Chinese Academy of Sciences) 10:30–10:55 1. IoT Malware Ecosystem in the Wild: A Glimpse into Analysis and Exposures. Jinchun Choi (University of Central Florida & Inha University); Afsah Anwar, Hisham Alasmary (University of Central Florida); Jeffrey Spaulding (Canisius College); DaeHun Nyang (Inha University); Aziz Mohaisen (University of Central Florida) 10:55–11:20 2. Performance Evaluation of Deception System for Deceiving Cyber Adversaries in Adaptive Virtualized Wireless. Danda B Rawat, Naveen Naik Sapavath (Howard University); Min Song (Stevens Institute of Technology) 11:20–11:45 3. ABACUS : Audio Based Access Control Utility for Smarthomes. Abrar S. Alrumayh, Sarah M. Lehman, Chiu C. Tan (Temple University) 11:45–12:10 4. Virtual Machine Migration for IoT Applications. Yutao Tang (Sam’s Club Lab); Zhengrui Qin (Northwest Missouri State University); Shanhe Yi (VMWare); Qun Li (College of William and Mary)
12:10-13:30	Lunch
13:40-15:20	Session II - WoT Control and Scheduling Session chair: Zhengui Qin (Northwest Missouri State University) 13:40-14:05 1. Zone of Control: The Basic Computing Unit for Web of Everything. Xiaohui Peng(Institute of Computing Technology, Chinese Academy of Sciences); Weisong Shi (Wayne State University) 14:05–14:30 2. Towards Efficient Real-Time Decision Support at the Edge. Kyoung Don Kang (Binghamton University) 14:30–14:55 3. Energy, Latency and Staleness Tradeoffs in AI-Driven IoT. Naveen Tumkur Ramesh Babu, Christopher Stewart (The Ohio State University) 14:55–15:20 4. Keyword-based information retrieval for the WoT. George Xylomenos, Evangelos Zafeiratos, Marios Prokopakis (Athens University of Economics and Business)

EdgeSP, Nov 9 (Washington III)
8:15-8:30	Introduction and Opening Remarks Speaker: Yiran Chen (Duke University)
8:30-10:00	Keynote Session Moderator: Yiran Chen 8:30-9:15 Title: A Vision towards Pervasive Edge Computing Speaker: Yuanyuan Yang (National Science Foundation) 9:15-10:00 Title: Unified Memory-Computing Architecture with Memristive Devices Speaker: Qing Wu (Air Force Research Laboratory)
10:00-10:45	Coffee Break
10:45-12:00	Session I 10:45–11:10 1. Towards Security-as-a-Service in Multi-Access Edge. Tourani (Saint Louis University), Austin Bos (New Mexico State University), Satyajayant Misra (New Mexico State University), Flavio Esposito (Saint Louis University) 11:10–11:35 2. Homoglyph Attack Detection with Unpaired Data. Yiwei Lu (University of Manitoba), Mahesh Kumar K (University of Manitoba), Noman Mohammed (University of Manitoba), Yang Wang (University of Manitoba) 11:35–12:00 3. Scalayzer: A Portable Tool for Vulnerability Analysis in Scala. Mohammadreza Ashouri (University of Potsdam), Christoph Kreitz (University of Potsdam)
12:00-13:30	Lunch
13:30-15:00	Session II 13:30-13:55 1. A Moving Target Defense against Adversarial Machine Learning. Abhishek Roy (UC Davis), Anshuman Chhabra (UC Davis), Charles Kamhoua (U.S. Army Research Laboratory (ARL)), Prasant Mohapatra (UC Davis) 13:55–14:20 2. Informer: Irregular Traffic Detection for Containerized Microservices RPC in the Real World. Jiyu Chen (UC Davis), Heqing Huang (Bytedane Inc), Hao Chen (UC Davis) 14:20–14:45 3. SDN-based Edge Computing Security: Detecting and Mitigating Flow Rule Attacks. Sonali Sen Baidya (Texas Tech University), Rattikorn Hewett (Texas Tech University)
14:45-14:50	Closing Remarks
14:50-15:00	Coffee Break

Best Student Poster Awards will be announced at the Women-in-computing forum.

Poster Session, Nov 7 (Virginia Foyer)
1	ChordEdge: Design of Chord Ring and SDN based Edge Infrastructure Management System. Kewei Sha (University of Houston)
2	Deep Learning based Task Scheduling in A Cloud RAN Enabled Edge Environment. Jude Fletcher (University of Oxford)
3	Privacy-by-Design Task Offloading for UAV-mounted Cloudlets. Lena Mashayekhy (University of Delaware)
4	Traffic Congestion Assessment Based on Street Level Data for On-Edge Deployment. Yuan Li (University of North Texas)
5	Cost-Aware Cloudlet Placement in Edge Computing Systems. Lena Mashayekhy (University of Delaware)
6	Deep Learning-based C/U Plane Separation Architecture for Automotive Edge Computing. Ping Du (University of Tokyo, Toyota Motor Corporation)
7	Fast Video Facial Expression Recognition by Deeply Tensor-compressed LSTM Neural Network on Mobile Device. Peining Zhen (Shanghai Jiao Tong University, Southern University of Science and Technology)
8	Container-Based Architecture for Optimal Face-Recognition Tasks in Edge Computing. Miguel Jimeno (Universidad del Norte)
9	Distributed Deep Neural Network Training on Edge Devices. Daniel Benditkis (Edgify)
10	Demo: A System for Operating Energy-Aware Cloudlets. Thomas Rausch (TU Wien)
11	Revisiting Online Scheduling for AI-Driven Internet of Things. Naveen T.R. Babu (The Ohio State University)
12	EdgeServe: Efficient Deep Learning Model Caching at the Edge. Tian Guo (Worcester Polytechnic Institute)
13	Virtual Reality Streaming at the Edge: A Power Perspective. Sheng Wei (Rutgers University, University of Nebraska-Lincoln, Worcester Polytechnic Institute)
14	Demo: Google Cloud Platform Security. Kazi Zunnurhain (Kean University)
15	Adaptive Task Offloading over Wireless in Mobile-Edge Computing. Saptarshi Debroy (City University of New York)
16	Cost-Effective Microservice Scaling in Edge Clouds. Amit Samanta (Max Planck Institute for Software Systems, Tsinghua University)
17	Fast Inference Services for Alternative Deep Learning Structures. Eduardo Romero (The Ohio State University)
18	An Efficient Mobile-Edge Collaborative System for Video Photorealistic Style Transfer. Ang Li (Duke University, Quantil Inc)
19	A SDN-based Network Layer for Edge Computing. An Wang (Case Western Reserve University)
20	FFmpeg360 for 360-Degree Videos: Edge-Based Transcoding, View Rendering, and Visual Quality Comparison. Yao Liu (SUNY Binghamton, The Ohio State University)
21	Task-Adaptive Incremental Learning for Intelligent Edge Devices. Xiang Chen (George Mason University)
22	A Neuromorphic GAN system for Intelligent Computing on Edge. Chenchen Liu (University of Maryland, Baltimore County)

Ph.D. Forum, Nov 8 (Adams/Madison/Washington)
1	OpenEdgeMap: An Edge-Based High-Definition Map Update and Distribution Platform Liangkai Liu, Weisong Shi (Wayne State University)
2	Exploring the Capabilities of Mobile Devices in Supporting Deep Learning Yitao Chen, Saman Biookaghazadeh, Ming Zhao (Arizona State University)
3	Towards Mobile Edge Computing Architecture for Low-latency Applications Sumit Maheshwari, Dipankar Raychaudhuri (Rutgers University)
4	Bringing the Physical into the Virtual: Drones in the Construction Industry Shilpa Anna George (Carnegie Mellon University)
5	Cross-ISA Security Extensions Virtualization Jin Wu (Harbin Institute of Technology)
6	Resource Management in Multi-tenancy Clouds Li Liu (George Mason University)
7	Enabling Efficient and Scalable Data Center Monitoring Using Edge-based Software Defined Measurement Zili Zha (George Mason University)
8	Scaling Wearable Cognitive Assistance Junjue Wang (Carnegie Mellon University)
9	Intelligent Resource Provisioning and Computation Offloading at the Edge Ke-Jou Hsu (Georgia Institute of Technology)
10	Smart Public Safety as An Edge Service: A Lightweight Video Processing and Online Decision-Making Approach Seyed Yahya Nikouei, Yu Chen (Binghamton University)
11	RNNFast: An Accelerator for Recurrent Neural Networks Using Domain Wall Memory Mohammad Hossein Samavatian (Ohio State University), Anys Bacha (University of Michigan), Li Zhou (Ohio State University), Radu Teodorescu (Ohio State University)
12	Reliable and Efficient Mobile Edge Computing for Dynamic IoT Systems Minoo Hosseinzadeh, Hana Khamfroush (University of Kentucky)
13	Latency-Aware Stream Processing at the Edge Shweta Khare (Vanderbilt University)
14	Deep Learning based task scheduling in a Cloud RAN enabled edge environment Jude Fletcher, David Wallom (University of Oxford)

Women-in-computing, Nov 8 (Monroe Room)
10:10-10:20	Welcome Remarks (Program Chairs)
10:20-10:45	Keynote Speech 1: Helping you take a fearless leap toward your successful career in Tech Speaker: Christine Moor (YouTube)
10:45-11:10	Keynote Speech 2: How to succeed as a STEM woman in Academia Speaker: Nathalie Japkowicz (Professor and Department Chair, Department of Computer Science, American University)
11:10-11:40	Panel : Industry and academic careers: challenges, prospects, and recipes Moderator: Lei Ding (Accenture Labs) Panelists: Pelin A. Kurtay (Associate Chair of ECE Department, George Mason University), Ian McCulloh (Principal Director, Accenture), Victor P. Piotrowski (Lead Program Director, National Science Foundation), Ursula Trelogan (Senior Manager, Digital Product Management, Capital One), Liz White (Associate Chair of Compute Science Department, George Mason University)
11:40-11:50	Best Student Poster Awards
11:50-13:00	Lunch (Crystall Ballroom)

Program