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Why Cloud Applications Are not Ready for the Edge (yet)
Authors: Chanh Nguyen, Amardeep Mehta, Cristian Klein (Umeå University); Erik Elmroth (Umeå university)
DeFog: Fog Computing Benchmarks
Authors: Jonathan McChesney, Nan Wang (Queen's University Belfast); Ashish Tanwer (Cisco Systems); Eyal de Lara (University of Toronto); Blesson Varghese (Queen's University Belfast)
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds
Authors: Qi Chen, Xu Ma, Sihai Tang, Jingda Guo, Qing Yang, Song Fu (University of North Texas)
DeepSave: Saving DNN Inference During Handovers on the Edge
Authors: Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou (The University of Sydney)
E2M: An Energy-Efficient Middleware for Computer Vision Applications on Autonomous Mobile Robots
Authors: Liangkai Liu, Jiamin Chen, Marco Brocanelli, Weisong Shi (Wayne State University)
LinkShare: Device-Centric Control for Concurrent and Continuous Mobile-Cloud Interactions
Authors: Bo Hu, Wenjun Hu (Yale University)
Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
Authors: Yan Lu (New York University); Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen (Microsoft Research); Dan Pei (Tsinghua University)
Infrastructure Fault Detection and Prediction in Edge Cloud Environments
Authors: Mbarka Soualhia (Ecole Polytechnique Montreal); Chunyan Fu (Ericsson); Foutse Khomh (École Polytechnique de Montréal)
Managing Edge Resources for Fully Autonomous Aerial Systems
Authors: Christopher Stewart, Jayson Boubin, Naveen T.R. Babu, John Chumley, Shiqi Zhang (The Ohio State University)
I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making
Authors: Seyed Yahya Nikouei, Yu Chen (Binghamton University); Alexander Aved, Erik Blasch (U.S. Air Force Research Laboratory); Timothy R. Faughnan (Binghamton University)
Towards Scalable Edge-Native Applications
Authors: Junjue Wang, Ziqiang Feng, Shilpa George, Roger Iyengar (Carnegie Mellon University); Pillai Padmanabhan (Intel Labs); Mahadev Satyanarayanan (Carnegie Mellon University)
Couper: DNN Model Slicing for Visual Analytics Containers at the Edge
Authors: Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska (Georgia Institute of Technology)
Collaborative Cloud-Edge Computation for Personalized Driving Behavior Modeling
Authors: Xingzhou Zhang (Institute of Computing Technology, Chinese Academy of Sciences, 2University of Chinese Academy of Sciences); Mu Qiao (IBM Research - Almaden); Liangkai Liu (Wayne Stata University); Yunfei Xu (DENSO International America Inc); Weisong Shi (Wayne Stata University)
Quartz: Time-as-a-Service for Coordination in Geo-Distributed Systems
Authors: Sandeep Dsouza, Raj Rajkumar (Carnegie Mellon University); Heiko Koehler, Akhilesh Joshi, Satyam Vaghani (Nutanix Inc.)
Adaptive Parallel Execution of Deep Neural Networks on Heterogeneous Edge Devices
Authors: Li Zhou, Mohammad Hossein Samavatian (The Ohio State University); Anys Bacha (University of Michigan); Saikat Majumdar, Radu Teodorescu (The Ohio State University)
Sandpaper: Mitigating performance interference in CDN edge proxies
Authors: Jeffrey Helt (Princeton University); Guoyao Feng, Srinivasan Seshan, Vyas Sekar (Carnegie Mellon University)
FaaSIoT: Portable, Multi-scale Functions-as-a-Service for IoT
Authors: Rich Wolski, Chandra Krintz, Fatih Bakir, Gareth George, Wei-Tsung Lin (UC Santa Barbara)
Linearize, Predict and Place: Minimizing the Makespan for Edge-based Stream Processing of Directed Acyclic Graphs
Authors: Shweta Khare, Hongyang Sun (Vanderbilt University); Julien Gascon-Samson, Kaiwen Zhang (ÉTS Montréal); Yogesh Barve, Anirban Bhattacharjee, Aniruddha Gokhale, Xenofon Koutsoukos (Vanderbilt University)
Exploring the Capabilities of Mobile Devices in Supporting Deep Learning
Authors: Yitao chen, Saman Biookaghazadeh, Ming Zhao (Arizona State University)
IMOD: An Efficient Incremental Learning System for Mobile Object Detection
Authors: Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry Heck (Samsung Research America)