The Fourth ACM/IEEE Symposium on Edge Computing Washington DC, November 7-9, 2019 |
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Time
Nov. 7th 2019, 16:20-18:00
Location
Virginia Foyer
The Poster Size
We prepared a poster mounting board for each presenter. The display board can be set vertically (x36''tall x24''-wide) or horizontally (the display board can be unfolded to x36''tall x48''-wide, but not very recommended) on an easel.
The Poster Number
You will be assigned a corresponding poster number that signifies the poster board and location.
Here are a few examples of ppt templates that could be used: click here.
Best Student Poster Awards
Best Student Poster Awards will be announced at the Women-in-computing forum.
Location: Monroe Room
Date: Friday, November 8th, 2019
Time: 10:10-11:50 AM
Details can be found at Women-in-Computing forum.
Accepted posters
1 | ChordEdge: Design of Chord Ring and SDN based Edge Infrastructure Management System. Kewei Sha (University of Houston) |
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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) |