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SEC 2019: Arlington, Virginia, USA
- Songqing Chen, Ryokichi Onishi, Ganesh Ananthanarayanan, Qun Li:
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, SEC 2019, Arlington, Virginia, USA, November 7-9, 2019. ACM 2019, ISBN 978-1-4503-6733-2
Edgy resource management
- Shweta Khare, Hongyang Sun, Julien Gascon-Samson, Kaiwen Zhang, Aniruddha Gokhale
, Yogesh D. Barve
Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs. 1-14 - Bo Hu
LinkShare: device-centric control for concurrent and continuous mobile-cloud interactions. 15-29 - Jeffrey Helt, Guoyao Feng, Srinivasan Seshan
Sandpaper: mitigating performance interference in CDN edge proxies. 30-46 - Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese:
DeFog: fog computing benchmarks. 47-58
Apps (killer?) at the edge
- Liangkai Liu, Jiamin Chen, Marco Brocanelli
E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots. 59-73 - Jayson G. Boubin
Managing edge resources for fully autonomous aerial systems. 74-87 - Qi Chen, Xu Ma, Sihai Tang, Jingda Guo, Qing Yang, Song Fu:
F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds. 88-100 - Seyed Yahya Nikouei, Yu Chen, Alexander J. Aved
I-SAFE: instant suspicious activity identification at the edge using fuzzy decision making. 101-112
Mobile & wearable devices
- Dawei Li
RILOD: near real-time incremental learning for object detection at the edge. 113-126 - Yitao Chen, Saman Biookaghazadeh, Ming Zhao
Exploring the capabilities of mobile devices in supporting deep learning. 127-138 - Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
Collaborative learning between cloud and end devices: an empirical study on location prediction. 139-151 - Junjue Wang, Ziqiang Feng
Towards scalable edge-native applications. 152-165
The bleeding edge of machine learning
- Weiyu Ju, Dong Yuan, Wei Bao
DeepSave: saving DNN inference during handovers on the edge. 166-178 - Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska:
Couper: DNN model slicing for visual analytics containers at the edge. 179-194 - Li Zhou, Mohammad Hossein Samavatian, Anys Bacha, Saikat Majumdar, Radu Teodorescu:
Adaptive parallel execution of deep neural networks on heterogeneous edge devices. 195-208 - Xingzhou Zhang, Mu Qiao, Liangkai Liu, Yunfei Xu, Weisong Shi
Collaborative cloud-edge computation for personalized driving behavior modeling. 209-221
Robust systems and services
- Mbarka Soualhia, Chunyan Fu, Foutse Khomh:
Infrastructure fault detection and prediction in edge cloud environments. 222-235 - Rich Wolski, Chandra Krintz, Fatih Bakir, Gareth George, Wei-Tsung Lin:
CSPOT: portable, multi-scale functions-as-a-service for IoT. 236-249 - Chanh Nguyen
Why cloud applications are not ready for the edge (yet). 250-263 - Sandeep D'Souza, Heiko Koehler, Akhilesh Joshi, Satyam Vaghani, Ragunathan (Raj) Rajkumar:
Quartz: time-as-a-service for coordination in geo-distributed systems. 264-279
Poster papers and demos
- Kewei Sha
ChordEdge: design of chord ring and SDN based edge infrastructure management system: poster. 280-282 - Jude Fletcher, David Wallom
Deep learning based task scheduling in a cloud RAN enabled edge environment. 283-285 - Weibin Ma, Lena Mashayekhy:
Privacy-by-design task offloading for UAV-mounted cloudlets. 286-288 - Yuan Li
Traffic congestion assessment based on street level data for on-edge deployment. 289-291 - Dixit Bhatta
Cost-aware cloudlet placement in edge computing systems. 292-294 - Ping Du, Akihiro Nakao, Zhaoxia Sun, Lei Zhong, Ryokichi Onishi:
Deep learning-based C/U plane separation architecture for automotive edge computing. 295-297 - Peining Zhen, Bin Liu, Yuan Cheng, Hai-Bao Chen, Hao Yu:
Fast video facial expression recognition by deeply tensor-compressed LSTM neural network on mobile device. 298-300 - Nadim Tellez, Miguel Jimeno, Augusto Salazar
Container-based architecture for optimal face-recognition tasks in edge computing. 301-303 - Daniel Benditkis, Aviv Keren, Liron Mor-Yosef, Tomer Avidor, Neta Shoham, Nadav Tal-Israel:
Distributed deep neural network training on edge devices. 304-306 - Thomas Rausch
A system for operating energy-aware cloudlets: demo. 307-309 - Naveen T. R. Babu, Christopher Stewart
Revisiting online scheduling for AI-driven internet of things. 310-312 - Tian Guo, Robert J. Walls, Samuel S. Ogden:
EdgeServe: efficient deep learning model caching at the edge. 313-315 - Zichen Zhu, Nan Jiang, Tian Guo, Sheng Wei:
Virtual reality streaming at the edge: a power perspective: poster. 316-318 - Nicholas J. Mitchell, Kazi Zunnurhain:
Google cloud platform security. 319-322 - Xiaojie Zhang
Adaptive task offloading over wireless in mobile edge computing. 323-325 - Amit Samanta
Cost-effective microservice scaling at edge: poster. 326-328 - Eduardo Romero, Christopher Stewart
Fast inference services for alternative deep learning structures. 329-331 - Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
An efficient edge-assisted mobile system for video photorealistic style transfer: poster abstract. 332-333 - An Wang, Zili Zha, Yang Guo, Songqing Chen:
A SDN-based network layer for edge computing: poster. 334-336 - Yao Liu, Chao Zhou, Shuoqian Wang, Mengbai Xiao:
FFmpeg360 for 360-degree videos: edge-based transcoding, view rendering, and visual quality comparison: poster. 337-339 - Zhuwei Qin, Fuxun Yu, Xiang Chen:
Task-adaptive incremental learning for intelligent edge devices. 340-341 - Chenchen Liu:
A neuromorphic GAN system for intelligent computing on edge. 342-343
ArchEdge: The 2nd workshop on computing architecture for edge computing
- Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
An efficient mobile-edge collaborative system for video photorealistic style transfer. 344-345 - Qingyu Liu, Haibo Zeng, Lingjia Liu, Minghua Chen
Delay-constrained offloading of computationally intensive workloads in edge computing. 346 - Kangjun Bai, Shiya Liu, Yang Yi:
High speed and energy efficient deep neural network for edge computing. 347-349 - Junchao Ma, Hao-Hsuan Chang
Machine learning enabled distributed mobile edge computing network. 350-351 - Changchi Shuai, Keni Qiu:
PAPS: power budget-aware pipeline scheduling for an embedded ReRAM-based accelerator. 352-353 - Zhe Zhou
Accelerate service live migration in resource-limited edge computing systems. 354-355 - Ye Tian, Min Li, Qiang Xu
Lightweight prediction based big/little design for efficient neural network inference. 356 - Jonathon Edstrom, Hritom Das, Yiwen Xu, Na Gong:
Embedded sensory data memory optimization for IoT edge inference with privacy, accuracy, and energy efficiency. 357
EdgeSP: The second ACM/IEEE workshop on security and privacy in edge computing
- Reza Tourani, Austin Bos, Satyajayant Misra, Flavio Esposito:
Towards security-as-a-service in multi-access edge. 358-363 - Sonali Sen Baidya, Rattikorn Hewett:
SDN-based edge computing security: detecting and mitigating flow rule attacks. 364-370 - Mohammadreza Ashouri, Christoph Kreitz:
Scalayzer: a portable tool for vulnerability analysis in scala. 371-376 - Yiwei Lu, Mahesh Kumar K., Noman Mohammed, Yang Wang:
Homoglyph attack detection with unpaired data. 377-382 - Abhishek Roy, Anshuman Chhabra, Charles A. Kamhoua, Prasant Mohapatra:
A moving target defense against adversarial machine learning. 383-388 - Jiyu Chen, Heqing Huang, Hao Chen
Informer: irregular traffic detection for containerized microservices RPC in the real world. 389-394
HotWoT 2019: The second ACM/IEEE workshop on hot topics on web of things
- Abrar S. Alrumayh, Sarah M. Lehman
ABACUS: audio based access control utility for smarthomes. 395-400 - Danda B. Rawat
Performance evaluation of deception system for deceiving cyber adversaries in adaptive virtualized wireless networks. 401-406 - George Xylomenos, Evangelos Zafeiratos, Marios Prokopakis:
Keyword-based information retrieval for the WoT. 407-412 - Jinchun Choi, Afsah Anwar, Hisham Alasmary
IoT malware ecosystem in the wild: a glimpse into analysis and exposures. 413-418 - Kyoung-Don Kang:
Towards efficient real-time decision support at the edge. 419-424 - Naveen T. R. Babu, Christopher Stewart
Energy, latency and staleness tradeoffs in AI-driven IoT. 425-430 - Xiaohui Peng, Weisong Shi
Zone of control: the basic computing unit for web of everything. 431-436 - Yutao Tang, Zhengrui Qin, Shanhe Yi
Virtual machine migration for IoT applications. 437-442
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