dblp: SEC 2019 (original) (raw)

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SEC 2019: Arlington, Virginia, USA

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  • Edgy resource management
  • Apps (killer?) at the edge
  • Mobile & wearable devices
  • The bleeding edge of machine learning
  • Robust systems and services
  • Poster papers and demos
  • ArchEdge: The 2nd workshop on computing architecture for edge computing
  • EdgeSP: The second ACM/IEEE workshop on security and privacy in edge computing
  • HotWoT 2019: The second ACM/IEEE workshop on hot topics on web of things

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  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

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    Shweta Khare, Hongyang Sun, Julien Gascon-Samson, Kaiwen Zhang, Aniruddha Gokhale, Yogesh D. Barve, Anirban Bhattacharjee, Xenofon D. Koutsoukos:
    Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs. 1-14
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    Bo Hu, Wenjun Hu:
    LinkShare: device-centric control for concurrent and continuous mobile-cloud interactions. 15-29
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    Jeffrey Helt, Guoyao Feng, Srinivasan Seshan, Vyas Sekar:
    Sandpaper: mitigating performance interference in CDN edge proxies. 30-46
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    Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese:
    DeFog: fog computing benchmarks. 47-58

Apps (killer?) at the edge

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    Liangkai Liu, Jiamin Chen, Marco Brocanelli, Weisong Shi:
    E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots. 59-73
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    Jayson G. Boubin, Naveen T. R. Babu, Christopher Stewart, John Chumley, Shiqi Zhang:
    Managing edge resources for fully autonomous aerial systems. 74-87
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    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
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    Seyed Yahya Nikouei, Yu Chen, Alexander J. Aved, Erik Blasch, Timothy R. Faughnan:
    I-SAFE: instant suspicious activity identification at the edge using fuzzy decision making. 101-112

Mobile & wearable devices

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    Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry P. Heck:
    RILOD: near real-time incremental learning for object detection at the edge. 113-126
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    Yitao Chen, Saman Biookaghazadeh, Ming Zhao:
    Exploring the capabilities of mobile devices in supporting deep learning. 127-138
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    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
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    Junjue Wang, Ziqiang Feng, Shilpa Anna George, Roger Iyengar, Padmanabhan Pillai, Mahadev Satyanarayanan:
    Towards scalable edge-native applications. 152-165

The bleeding edge of machine learning

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    Weiyu Ju, Dong Yuan, Wei Bao, Liming Ge, Bing Bing Zhou:
    DeepSave: saving DNN inference during handovers on the edge. 166-178
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    Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska:
    Couper: DNN model slicing for visual analytics containers at the edge. 179-194
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    Li Zhou, Mohammad Hossein Samavatian, Anys Bacha, Saikat Majumdar, Radu Teodorescu:
    Adaptive parallel execution of deep neural networks on heterogeneous edge devices. 195-208
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    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

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    Mbarka Soualhia, Chunyan Fu, Foutse Khomh:
    Infrastructure fault detection and prediction in edge cloud environments. 222-235
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    Rich Wolski, Chandra Krintz, Fatih Bakir, Gareth George, Wei-Tsung Lin:
    CSPOT: portable, multi-scale functions-as-a-service for IoT. 236-249
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    Chanh Nguyen, Amardeep Mehta, Cristian Klein, Erik Elmroth:
    Why cloud applications are not ready for the edge (yet). 250-263
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    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

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    Kewei Sha, Youhuizi Li:
    ChordEdge: design of chord ring and SDN based edge infrastructure management system: poster. 280-282
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    Jude Fletcher, David Wallom:
    Deep learning based task scheduling in a cloud RAN enabled edge environment. 283-285
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    Weibin Ma, Lena Mashayekhy:
    Privacy-by-design task offloading for UAV-mounted cloudlets. 286-288
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    Yuan Li, Haili Wang, Bill P. Buckles:
    Traffic congestion assessment based on street level data for on-edge deployment. 289-291
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    Dixit Bhatta, Lena Mashayekhy:
    Cost-aware cloudlet placement in edge computing systems. 292-294
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    Ping Du, Akihiro Nakao, Zhaoxia Sun, Lei Zhong, Ryokichi Onishi:
    Deep learning-based C/U plane separation architecture for automotive edge computing. 295-297
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    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
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    Nadim Tellez, Miguel Jimeno, Augusto Salazar, Elias David Niño Ruiz:
    Container-based architecture for optimal face-recognition tasks in edge computing. 301-303
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    Daniel Benditkis, Aviv Keren, Liron Mor-Yosef, Tomer Avidor, Neta Shoham, Nadav Tal-Israel:
    Distributed deep neural network training on edge devices. 304-306
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    Thomas Rausch, Philipp Raith, Padmanabhan Pillai, Schahram Dustdar:
    A system for operating energy-aware cloudlets: demo. 307-309
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    Naveen T. R. Babu, Christopher Stewart:
    Revisiting online scheduling for AI-driven internet of things. 310-312
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    Tian Guo, Robert J. Walls, Samuel S. Ogden:
    EdgeServe: efficient deep learning model caching at the edge. 313-315
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    Zichen Zhu, Nan Jiang, Tian Guo, Sheng Wei:
    Virtual reality streaming at the edge: a power perspective: poster. 316-318
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    Nicholas J. Mitchell, Kazi Zunnurhain:
    Google cloud platform security. 319-322
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    Xiaojie Zhang, Saptarshi Debroy:
    Adaptive task offloading over wireless in mobile edge computing. 323-325
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    Amit Samanta, Yong Li:
    Cost-effective microservice scaling at edge: poster. 326-328
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    Eduardo Romero, Christopher Stewart, Nathaniel Morris:
    Fast inference services for alternative deep learning structures. 329-331
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    Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
    An efficient edge-assisted mobile system for video photorealistic style transfer: poster abstract. 332-333
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    An Wang, Zili Zha, Yang Guo, Songqing Chen:
    A SDN-based network layer for edge computing: poster. 334-336
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    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
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    Zhuwei Qin, Fuxun Yu, Xiang Chen:
    Task-adaptive incremental learning for intelligent edge devices. 340-341
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    Chenchen Liu:
    A neuromorphic GAN system for intelligent computing on edge. 342-343

ArchEdge: The 2nd workshop on computing architecture for edge computing

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    Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
    An efficient mobile-edge collaborative system for video photorealistic style transfer. 344-345
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    Qingyu Liu, Haibo Zeng, Lingjia Liu, Minghua Chen:
    Delay-constrained offloading of computationally intensive workloads in edge computing. 346
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    Kangjun Bai, Shiya Liu, Yang Yi:
    High speed and energy efficient deep neural network for edge computing. 347-349
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    Junchao Ma, Hao-Hsuan Chang, Pingzhi Fan, Lingjia Liu:
    Machine learning enabled distributed mobile edge computing network. 350-351
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    Changchi Shuai, Keni Qiu:
    PAPS: power budget-aware pipeline scheduling for an embedded ReRAM-based accelerator. 352-353
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    Zhe Zhou, Xintong Li, Guangyu Sun:
    Accelerate service live migration in resource-limited edge computing systems. 354-355
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    Ye Tian, Min Li, Qiang Xu:
    Lightweight prediction based big/little design for efficient neural network inference. 356
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    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

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    Reza Tourani, Austin Bos, Satyajayant Misra, Flavio Esposito:
    Towards security-as-a-service in multi-access edge. 358-363
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    Sonali Sen Baidya, Rattikorn Hewett:
    SDN-based edge computing security: detecting and mitigating flow rule attacks. 364-370
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    Mohammadreza Ashouri, Christoph Kreitz:
    Scalayzer: a portable tool for vulnerability analysis in scala. 371-376
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    Yiwei Lu, Mahesh Kumar K., Noman Mohammed, Yang Wang:
    Homoglyph attack detection with unpaired data. 377-382
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    Abhishek Roy, Anshuman Chhabra, Charles A. Kamhoua, Prasant Mohapatra:
    A moving target defense against adversarial machine learning. 383-388
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    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

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    Abrar S. Alrumayh, Sarah M. Lehman, Chiu C. Tan:
    ABACUS: audio based access control utility for smarthomes. 395-400
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    Danda B. Rawat, Naveen Naik Sapavath, Min Song:
    Performance evaluation of deception system for deceiving cyber adversaries in adaptive virtualized wireless networks. 401-406
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    George Xylomenos, Evangelos Zafeiratos, Marios Prokopakis:
    Keyword-based information retrieval for the WoT. 407-412
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    Jinchun Choi, Afsah Anwar, Hisham Alasmary, Jeffrey Spaulding, DaeHun Nyang, Aziz Mohaisen:
    IoT malware ecosystem in the wild: a glimpse into analysis and exposures. 413-418
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    Kyoung-Don Kang:
    Towards efficient real-time decision support at the edge. 419-424
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    Naveen T. R. Babu, Christopher Stewart:
    Energy, latency and staleness tradeoffs in AI-driven IoT. 425-430
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    Xiaohui Peng, Weisong Shi:
    Zone of control: the basic computing unit for web of everything. 431-436
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    Yutao Tang, Zhengrui Qin, Shanhe Yi, Qun Li:
    Virtual machine migration for IoT applications. 437-442

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