Program

Keynote: Bringing the cloud closer to the Edge

Keynote: Edge Intelligence: Convergence of Edge Compute and Machine Learning

Technical Program

Summary
Thursday Oct25
Friday Oct 26
Saturday Oct 27
Posters
Ph.D. Forum

Program at a Glance

Thursday, Oct 25
8:00-8:50	Breakfast
8:50-9:00	Opening Remarks and Awards Victor Bahl, Jason Flinn, Weisong Shi, Dinesh Verma
9:00-10:00	Keynote Speech 1 Session chair: Weisong Shi Speaker: Kenneth L. Calvert (Division Director of CNS, NSF)
10:00-10:40	Cofffee break
10:40-12:00	Session I - Supporting Edge Applications Session chair: Mahadev Satyanarayanan 1. MUVR: Supporting Multi-User Mobile Virtual Reality with Resource Constrained Edge Cloud. (Yong Li, Wei Gao) 2. SafeShareRide: Edge-based Attack Detection in Ridesharing Services. (Liangkai Liu, Xingzhou Zhang, Mu Qiao, Weisong Shi) 3. CAVBench: The Benchmark Suite for Connected and Autonomous Vehicles. (Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi) 4. QoE Inference and Improvement Without End-Host Control. (Ashkan Nikravesh, Qi Alfred Chen, Scott Haseley, Xiao Zhu, Geoffrey Challen, Z. Morley Mao)
12:00-13:00	Lunch
13:00-14:00	Panel: Insights from the applied edge Moderator: J. Chris Ramming (Senior Director, VMWare) Panelists: Greg Bollella (CTO, IoT, VMWare), Xingang Guo (General Manager, IoT for Amazon Delivery Logistics), Eve Schooler (Director, Intel), Guijun Wang (Technical Fellow, Boeing), Lei Zhong (Senior Researcher, Toyota ITC)
14:00-15:20	Session II - Privacy and Security Session chair: Robin Kravets 1. HomePad: A Privacy-aware Smart Hub for Home Environments. (Igor Zavalyshyn, Nuno O. Duarte, Nuno Santos) 2. SVigilia: Securing Smart Home Edge Computing. (Rahmadi Trimananda, Ali Younis, Bojun Wang, Bin Xu, Brian Demsky, Guoqing (Harry) Xu) 3. Learning from Differentially Private Neural Activations with Edge Computing. (Yunlong Mao, Shanhe Yi, Qun Li, Jinghao Feng, Fengyuan Xu, Sheng Zhong) 4. Harpocrates: Giving Out Your Secrets and Keeping Them Too. (Rufaida Ahmed, Zirak Zaheer, Richard Li, Robert Ricci)
15:20-15:40	Cofffee break
15:40-17:00	Session III - Video at the Edge Session chair: Landon Cox 1. VideoEdge: Processing Camera Streams using Hierarchical Clusters. (Chien-Chun Hung, Ganesh Ananthanarayanan, Peter Bodik, Leana Golubchik, Minlan Yu, Paramvir Bahl, Matthai Philipose) 2. Application-aware IoT Camera Virtualization for Video Analytics Edge Computing. (Si Young Jang, Yoonhyung Lee, Byoungheon Shin, Dongman Lee, Dionisio Vendrell Jacinto) 3. Edge-based Discovery of Training Data for Machine Learning. (Ziqiang Feng, Shilpa George, Jan Harkes, Padmanabhan Pillai, Roberta Klatzky, Mahadev Satyanarayanan) 4. Bandwidth-efficient Live Video Analytics for Drones via Edge Computing. (Junjue Wang, Ziqiang Feng, Zhuo Chen, Shilpa George, Mihir Bala, Padmanabhan Pillai, Shao-Wen Yang, Mahadev Satyanarayanan)
17:00-18:30	Poster Session
18:30-20:30	Banquet and Awards SIGMOBILE IoT Award Presentation (Mahadev Satyanarayanan: “Pervasive Computing: Vision and Challenges”) Fellow Ceremony Best Paper Award

Friday, Oct 26
8:00-8:50	Breakfast
9:00-10:00	Keynote Speech 2 Session chair: Victor Bahl Speaker: Arjmand Samuel (Principal Program Manager, Microsoft Azure Internet of Things)
10:00-10:40	Cofffee break
10:40-12:00	Session IV - Edge Computing and IoT Session chair: Ganesh Ananthanaraynan 1. Aggio: A Coupon Safe for Privacy-Preserving Smart Retail Environments. (Albert F Harris III, Robin Kravets, Robin Snader) 2. In-Situ Resource Provisioning with Adaptive Scale-out for Regional IoT Services. (Yugo Nakamrua, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto) 3. Scalable Edge Computing for Low Latency Data Dissemination in Topic-based Publish/Subscribe. (Shweta Khare, Hongyang Sun, Kaiwen Zhang, Julien Gascon-Samson, Aniruddha Gokhale, Xenofon Koutsoukos, Hamzah Abdel-Aziz) 4. From Cell Towers to Smart Street Lamps: Placing Cloudlets on Existing Urban Infrastructures. (Julien Gedeon, Michael Stein, Jeff Krisztinkovics, Patrick Felka, Katharina Keller, Christian Meurisch, Lin Wang, Max Mühlhäuser)
12:00-13:00	Lunch
13:00-14:20	Session V - Infrastructure and Placement Session chair: Padmanabhan Pillai 1. Dependency Mining for Service Resilience at the Edge. (Atakan Aral, Ivona Brandic) 2. Cooperative-Competitive Task Allocation in Edge Computing for Delay-Sensitive Social Sensing. (Daniel Zhang, Yue Ma, Chao Zheng, Yang Zhang, X. Sharon Hu, Dong Wang) 3. Portable Energy-Aware Cluster-Based Edge Computers. (Thomas Rausch, Cosmin Avasalcai, Schahram Dustdar) 4. F-MStorm: Feedback-based Online Distributed Mobile Stream Processing. (Mengyuan Chao, Chen Yang, Yukun Zeng, Radu Stoleru)
14:20-14:50	Cofffee break
14:50-15:50	Session VI - Edge-Cloud Interactions Session chair: Kiryong Ha 1. Scalability and Performance Evaluation of Edge Cloud Systems for Latency Constrained Applications. (Sumit Maheshwari, Dipankar Raychaudhuri, Ivan Seskar, Francesco Bronzino) 2. Costless: Optimizing Cost of Serverless Computing through Function Fusion and Placement. (Tarek Elgamal, Atul Sandur, Klara Nahrstedt, Gul Agha) 3. An Envy-Free Auction Mechanism for Resource Allocation in Edge Computing Systems. (Tayebeh Bahreini, Hossein Badri, Daniel Grosu)
16:00-17:45	Ph.D. Forum

ArchEdge (8:45-17:10)
8:00-8:45	Breakfast
8:45-9:00	Welcome Yiran Chen and Gabiel Loh
9:00-10:00	Joint keynote *Edge Intelligence: Convergence of Edge Compute and Machine Learning* Moderator: Gabiel Loh (AMD) Speaker: Allen Rush (Senior fellow, AMD)
10:00-10:30	Cofffee break
10:30-12:00	Session I - System Challenges Session chair: Yiran Chen (Duke University) 1. An efficient cloud-edge framework for computer vision applications. Ehsan Mohyedin Kermani, Amin Banitalebi-Dehkordi, Yong Zhang, Yuri Mosieyenko, Lanjun Wang, and Jiebo Luo (Huawei Technologies, Canada) 2. Systems challenges for augmented and virtual reality on the edge. Yuhao Zhu (University of Rochester) 3. Amino - A distributed runtime for applications running dynamically across device, edge and cloud. Ying Xiong and Donghui Zhuo (Cloud Lab at Huawei R&D USA)
12:00-13:30	Lunch
13:30-15:00	Session II - Neural Networks and machine Learning Session chair: Xiang Chen (George Mason University) 1. A neural network architecture for real-time facial attributes recognition on low-power edge devices. Amin Banitalebi-Dehkordi, Ehsan Mohyedin Kermani, Yuri Moiseyenko, Lanjun Wang, et al. (Huawei Technologies, Canada) 2. Light-weight machine learning on IoT edge device. Xuan Qi and Chen Liu (Clarkson University) 3. Optimizing deep neural network on FPGAs via efficient memory and computation mapping devices. Guoyang Chen (Alibaba Group US Inc.), Shiqiang Cui (Alibaba Group Inc.), Xiaoyong Liu (Alibaba Group US Inc.), and Weifeng Zhang (Alibaba Group US Inc.)
15:00-15:30	Break
13:30-15:00	Session III - Edge Applications Session chair: Gabiel Loh (AMD) 1. NFV at the edge, from system and architecture perspectives. Yang Hu (UT Dallas), 2. Extend data center execution environment to edge with KubeEdge. Ying Xiong and Yulin Sun (Cloud Lab at Huawei R&D USA) 3. Privacy partition: a privacy-preserving framework for deep neural networks in edge networks. Jianfeng Chi (University of Virginia), Emmanuel Owusu (Carnegie Melleon University), Xuwang Yin (University of Virginia), Tong Yu (Carnegie Melleon University), et al.
15:00-17:10	Closing remarks Yiran Chen and Gabiel Loh
HotWot (10:05-11:45)
8:00-8:50	Breakfast
10:05-10:25	EveryLite: A Lightweight Scripting Language for Micro Tasks in IoT Systems. Zhenying Li, Xiaohui Peng, Lu Chao and Zhiwei Xu (Institute of Computing Technology, Chinese Academy of Sciences)
10:25-10:45	Defending Internet of Things Against Malicious Domain Names using D-FENS. Jeffrey Spaulding and Aziz Mohaisen (University of Central Florida)
10:45-11:05	How Edge Computing and Initial Congestion Window Size Affect Latency of Web-based Services: Early Experiences with Baidu. Qingyang Zhang (Anhui University), Hong Zhong (Anhui Universty), Jiaoren Wu (Baidu Online Network Technology) and Weisong Shi (Wayne State Unversity)
11:05-11:25	Stable Clustering for VANETs on Highways. Xiaolu Cheng (Virginia Commonwealth University), Baohua Huang (Guangxi University) and Wei Cheng (Virginia Commonwealth University)
11:25-11:45	Enabling Semantics in oneM2M Service Delivery Platform. Jie Cao, Lanyu Xu and Weisong Shi (Wayne State University)
EdgeSP (13:00-17:00)
13:00-13:30	FastPay: A Secure Fast Payment Method for Edge-IoT Platforms using Blockchain. Zijiang Hao, Raymond Ji and Qun Li
13:30-14:00	A Novel Architecture for Automatic Document Classification for Effective Security in Edge Computing Environments. Lei Ding and Malek Ben Salem
14:00-14:30	Preliminary Study of Trusted Execution Environments on Heterogeneous Edge Platforms. Zhenyu Ning, Jinghui Liao, Fengwei Zhang and Weisong Shi
14:30-15:00	KLRA: A Kernel Level Resource Auditing Tool For IoT Operating System Security. Dong Li, Zhaonian Zhang, Weiyuan Liao and Zhiwei Xu
15:00-15:30	Cofffee break
15:30-16:00	Lightweight Hardware Based Secure Authentication Scheme for Fog Computing. Baiyi Huang, Xiuzhen Cheng, Yuan Cao and Le Zhang
16:00-16:30	Secure Edge Computing in IoT Systems: Review and Case Studies. Mohammed Alrowaily and Zhuo Lu
16:30-17:00	Adge: An ADMM-Based Audio Adversarial Example Generation Method Fuxun Yu, Zirui Xu，Chenchen Liu, Yanzhi Wang, Xiang Chen

Poster Session
1	Scaling on the Edge – A Benchmarking Suite for Human-in-the-Loop Applications. [PDF] Manuel Olguín (KTH Royal Institute of Technology, Sweden), Junjue Wang, Mahadev Satyanarayanan (Carnegie Mellon University), James Gross (KTH Royal Institute of Technology, Sweden)
2	Managing Sensing Resources at the Edge using Cloud OSes. [PDF] Lirim Osmani, Ashwin Rao, Samu Varjonen, Eemil Lagerspetz (University of Helsinki), Hannu Flinck (Nokia Bell Labs), Sasu Tarkoma (University of Helsinki)
3	Risk-based Optimization of Resource Provisioning in Mobile Edge Computing. [PDF] Hossein Badri, Tayebeh Bahreini, Daniel Grosu, Kai Yang
4	FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum. [PDF] Yogesh D. Barve, Shashank Shekhar, Ajay D. Chhokra, Shweta Khare, Anirban Bhattacharjee, Aniruddha Gokhale(Vanderbilt University)
5	A Deep Neural Network Compression Algorithm Based on Knowledge Transfer for Edge Device. [PDF] Chao Li, Xiaolong Ma, Zhulin An, Yongjun Xu (Institute of Computing Technology Chinese Academy of Sciences)
6	Smart Surveillance as an Edge Service for Real-Time Human Detection and Tracking. [PDF] Seyed Yahya Nikouei, Yu Chen, Timothy R. Faughnan (Binghamton University, SUNY)
7	Towards a Distributed and Self-Adaptable Cloud-Edge Middleware. [PDF] Julien Gascon-Samson, Kumseok Jung, Karthik Pattabiraman (University of British Columbia)
8	Embedded Deep Learning for Vehicular Edge Computing. [PDF] Jacob Hochstetler, Rahul Padidela, Qi Chen, Qing Yang, Song Fu (University of North Texas)
9	Container-Based Architecture for Optimal Face-Recognition Tasks in Edge Computing. [PDF] Nadim Tellez, Miguel Jimeno, Augusto Salazar, Elias Nino-Ruiz (Universidad del Norte)
10	DyCREM: Dynamic Credit Risk Management Using Edge-based Blockchain. [PDF] Youhuizi Li, Weisong Shi, Mohit Kumar, Jun Chen (Wayne State University)
11	EdgeBox: Live Edge Video Analytics for Near Real-Time Event Detection. [PDF] Bing Luo, Sheng Tan, Zhifeng Yu, Weisong Shi (Wayne State University)
12	Mobile Edge Computing – a Booster for the Practical Provisioning Approach of Web-based Augmented Reality. [PDF] Pei Ren, Xiuquan Qiao, Junliang Chen (Beijing University of Posts and Telecommunications, China), Schahram Dustdar (TU Wien, Austria)
13	Latency-Oblivious Incentive Service Offloading in Mobile Edge Computing. [PDF] Amit Samanta (India Institute of Technology, Kharagpur, India), Yong Li (Tsinghua University)
14	A Heuristic Algorithm Based on Resource Requirements Forecasting for Server Placement in Edge Computing. [PDF] Kaile Xiao, Zhipeng Gao, Qian Wang, Yang Yang (Beijing University of Posts and Telecommunications, China)
15	ThingsMigrate - Platform-Independent Live-Migration of JavaScript Processes. [PDF] Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman (University of British Columbia)
16	EdgeNet: A Global Cloud That Spreads by Local Action. [PDF] Justin Cappos (NYU), Matthew Hemmings, Rick McGeer (US Ignite), Albert Rafetseder (NYU), Glenn Ricart (US Ignite)

Ph.D. Forum
1	An Edge-based System for Discovering Training Data for Machine Learning. Ziqiang Feng (Carnegie Mellon University)
2	Pathstore, A Data Storage Layer For The Edge. Seyed Hossein Mortazavi (University of Toronto)
3	When Social Sensing Meets Edge Computing - A Scalable and Responsive Social Sensing based Edge Computing (SSEC) Framework. Daniel (Yue) Zhang (University of Notre Dame)
4	Supporting Low-latency Applications with Mobile Edge Cloud Networks. Sumit Maheshwari and Dipankar Raychaudhuri (Rutgers University)
5	Edge Service Broker with Caching for NLP Applications. Lanyu Xu (Wayne State University)
6	Scaling Wearable Cognitive Assistance. Juejue Wang (Carnegie Mellon University)
7	Towards Scalable Edge Computing with Latency Assurance. Shweta Khare (Vanderbilt University)
8	Resource Management Mechanisms in Edge Computing Systems. Tayebeh Bahreini (Wayne State University)
9	Improving Mobile Internet Quality of Experience. Mallesham Dasari (Stony Brook University)
10	Stochastic Optimization Methods for Resource Management in Edge Computing Systems. Hossein Badri (Wayne State University)
11	QoS-Aware Service Placement and Task Scheduling in a Three-Tiered Edge-to-Cloud System. Matthew Turner and Hana Khamfroush (University of Kentucky)
12	Cartel : Collaborative Edge Learning. Harshit Daga (Georgia Institute of Technology), Ada Gavrilovska (Georgia Institute of Technology), Patrick Nicholson (Nokia Bell Labs), Diego Lugones(Nokia Bell Labs)
13	Trellis++ a Practical Privacy-Preserving Food Safety Framework. Servio Palacios, Aaron Ault (Purdue University)
14	Accelerating Intelligent Analytics of Streaming Data with a Distributed Edge. Ke-Jou Hsu (Georgia Institute of Technology)

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