2020 IEEE/ACM Symposium on Edge Computing (SEC)最新文献_第3页

Clownfish: Edge and Cloud Symbiosis for Video Stream Analytics 小丑鱼:视频流分析的边缘和云共生

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00012

Vinod Nigade, Lin Wang, H. Bal

{"title":"Clownfish: Edge and Cloud Symbiosis for Video Stream Analytics","authors":"Vinod Nigade, Lin Wang, H. Bal","doi":"10.1109/SEC50012.2020.00012","DOIUrl":"https://doi.org/10.1109/SEC50012.2020.00012","url":null,"abstract":"Deep learning (DL) has shown promising results on complex computer vision tasks for video stream analytics recently. However, DL-based analytics typically requires intensive computation, which imposes challenges to the current computing infrastructure. In particular, cloud-only solutions struggle to maintain stable real-time performance due to the streaming over the best-effort Internet, while edge-only solutions require the DL model to be optimized (e.g., pruned or quantized) carefully to fit on resource-constrained devices, affecting the analytics quality. In this paper, we propose Clownfish, a framework for efficient video stream analytics that achieves symbiosis of the edge and the cloud. Clownfish deploys a lightweight optimized DL model at the edge for fast response and a complete DL model at the cloud for high accuracy. By exploiting the temporal correlation in video content, Clownfish sends only a subset of video frames intermittently to the cloud and enhances the analytics quality by fusing the results from the cloud model with these from the edge model. Our evaluation based on a system prototype shows that Clownfish always runs in real time and is able to achieve analytics quality comparable to that of cloud-only solutions, even under highly variable network conditions. Clownfish is generally applicable to all video stream analytics tasks that can leverage temporal correlations.","PeriodicalId":375577,"journal":{"name":"2020 IEEE/ACM Symposium on Edge Computing (SEC)","volume":"1072 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122887397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Poster: User-space Networking Libraries & Control Plane Negotiations for Seamless Multi-connectivity 海报:用户空间网络库和控制平面协商实现无缝多连接

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00029

Seppo Hätönen, Ashwin Rao, S. Tarkoma

引用次数: 0

IoTReplay: Troubleshooting COTS IoT Devices with Record and Replay IoTReplay:带记录和重播的COTS物联网设备故障排除

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00033

Kaiming Fang, Guanhua Yan

引用次数: 4

SmartMon: Misbehavior Detection via Monitoring Smart Home Automations SmartMon:通过监控智能家居自动化来检测不良行为

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00047

Pengfei Peng, An Wang

{"title":"SmartMon: Misbehavior Detection via Monitoring Smart Home Automations","authors":"Pengfei Peng, An Wang","doi":"10.1109/SEC50012.2020.00047","DOIUrl":"https://doi.org/10.1109/SEC50012.2020.00047","url":null,"abstract":"The rapid expansion of Internet of Things (IoT) has brought unprecedented changes to our daily life. Among all, smart home technologies are the most widely adopted. They leverage various devices in home environment to build a connected network, over which automation is implemented for enhancing device interoperability. Such automations usually execute on platforms that are provided by device vendors, such as Samgsung, Google and Amazon. However, back-end cloud may not always be trustworthy due to malware, unknown third-party applications and possible side-channel attacks. Specifically for the IoT platforms, we identify two security threats that may gain unauthorized control of smart home devices: over-privilege issue and spooking events. In this thesis, we presents SmartMon, a framework that is designed to detect such security violations by statically analyzing automation application (SmartApp) control logic and comparing them with dynamic execution patterns. Through evaluations, we demonstrate that SmartMon could achieve high precision (> 95%) in detecting both violations. We also evaluate its detection capability in more complex settings, where multiple SmartApps execute simultaneously, resulting in potential dependencies. The evaluation results show that SmartMon remains high accuracy in this scenario as well.","PeriodicalId":375577,"journal":{"name":"2020 IEEE/ACM Symposium on Edge Computing (SEC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129099849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

B2-Coupon: Efficient and Non-intrusive Mobile Coupon Distribution using Dual Bloom Filter B2-Coupon:高效，非侵入式移动优惠券分发使用双布隆过滤器

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00052

Xueda Shen, Jiyu Hu, Yunqi Zhang, Ian C. Quinn

{"title":"B2-Coupon: Efficient and Non-intrusive Mobile Coupon Distribution using Dual Bloom Filter","authors":"Xueda Shen, Jiyu Hu, Yunqi Zhang, Ian C. Quinn","doi":"10.1109/SEC50012.2020.00052","DOIUrl":"https://doi.org/10.1109/SEC50012.2020.00052","url":null,"abstract":"In this paper, we propose B2-Coupon, an efficient mobile electronic coupon (mobile coupon or coupon in short) distribution system on mobile phones using the Dual Bloom Filter. The Dual Bloom Filter, consisted of the Interest Bloom Filter and the Forwarder Bloom Filter, achieve targeted forwarding and fair reward distributions among coupon forwarders. Particularly, the Interest Bloom Filter narrows down the target receivers (i.e. potential coupon users or forwarders) by user interest matching check, and the Forwarder Bloom Filter records all the coupon forwarder IDs in a space-efficient way. We use Bluetooth Low Energy (BLE) beacons to enable non-intrusive coupon transmission without manual connection setup. We conduct both large-scale simulation-based and implementation-based evaluations on our system. The simulation results show that our system realizes fast coupon propagation and fair reward distributions. The implementation is based on Android phones, such as Google and Samsung phones. The implementation results indicate that our system is capable of real-world deployment. We conclude that B2-Coupon can effectively facilitate efficient and non-intrusive coupon distribution among mobile users.","PeriodicalId":375577,"journal":{"name":"2020 IEEE/ACM Symposium on Edge Computing (SEC)","volume":"53 28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128864897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cooperative Mixed Reality Leveraging Edge Computing and Communication 利用边缘计算和通信的协同混合现实

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00064

Sihai Tang, B. Chen, J. Hochstetler, Jason Hirsch, Song Fu

引用次数: 1

Pub/Sub in the Air: A Novel Data-centric Radio Supporting Robust Multicast in Edge Environments 空中发布/订阅:一种支持边缘环境下鲁棒组播的新型数据中心无线电

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00038

Mohammed Elbadry, Fan Ye, Peter Milder, Yuanyuan Yang

{"title":"Pub/Sub in the Air: A Novel Data-centric Radio Supporting Robust Multicast in Edge Environments","authors":"Mohammed Elbadry, Fan Ye, Peter Milder, Yuanyuan Yang","doi":"10.1109/SEC50012.2020.00038","DOIUrl":"https://doi.org/10.1109/SEC50012.2020.00038","url":null,"abstract":"Peer communication among edge devices (e.g., mobiles, vehicles, IoT and drones) is frequently data-centric: most important is obtaining data of desired content from suitable nodes; who generated or transmitted the data matters much less. Typical cases are robust one-to-many data sharing: e.g., a vehicle sending weather, road, position and speed data streams to nearby cars continuously. Unfortunately, existing address-based wireless communication is ill-suited for such purposes. We propose V-MAC, a novel data-centric radio that provides a pub/sub abstraction to replace the point-to-point abstraction in existing radios. It filters frames by data names instead of MAC addresses, thus eliminating complexities and latencies in neighbor discovery and group maintenance in existing radios. V-MAC supports robust, scalable and high rate multicast with consistently low losses across receivers of varying reception qualities. Experiments using a Raspberry Pi and a commodity WiFi dongle based prototype show that V-MAC reduces loss rate from WiFi broadcast’s 50–90% to 1–3% for up to 15 stationary receivers, 4–5 moving people, and miniature and real vehicles. It cuts down filtering latency from 20μs in WiFi to 10$mu$ s for up to 2 million data names, and improves cross stack latency 60–100× for TX/RX paths. We have ported V-MAC to 4 major WiFi chipsets (including 802.11 a/b/g/n/ac radios), 6 different platforms (Android, embedded and FPGA systems), 7 Linux kernel versions, and validated up to 900Mbps multicast data rate and interoperation with regular WiFi. We will release V-MAC as a mature, reusable asset for edge computing research.","PeriodicalId":375577,"journal":{"name":"2020 IEEE/ACM Symposium on Edge Computing (SEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128566153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision FlexDNN:用于高效移动视觉的输入自适应设备深度学习

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00014

Biyi Fang, Xiao Zeng, Faen Zhang, Hui Xu, Mi Zhang

引用次数: 41

More Than The Sum of Its Things: Resource Sharing Across IoTs at The Edge 不仅仅是其事物的总和:边缘物联网的资源共享

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00034

A. Essameldin, M. N. Hoque, Khaled A. Harras

{"title":"More Than The Sum of Its Things: Resource Sharing Across IoTs at The Edge","authors":"A. Essameldin, M. N. Hoque, Khaled A. Harras","doi":"10.1109/SEC50012.2020.00034","DOIUrl":"https://doi.org/10.1109/SEC50012.2020.00034","url":null,"abstract":"The extreme growth and diversity of IoT applications, along with the heterogeneity of these devices, has led to numerous middleware solutions emerging to address various relevant challenges. These solutions have been shifting from cloud-based approaches to edge-technologies in order to handle issues related to privacy, latency, and bandwidth. Within this context, we identify an opportunity to introduce a novel IoT Middleware system that enables more seamless resource and context sharing at the edge. We propose the Hive, a middleware system that allows heterogeneous off-the-shelf devices in a common edge network to seamlessly and efficiently utilize each other’s sensory and computational resources. The Hive architecture enables a new wave of multi-modal sensory applications, leveraging a pool of IoT devices, that would otherwise be unattainable. We accomplish this by decoupling the hardware, processing, and application layers within IoT devices from each other. The Hive abstracts each of these layers into a single resource pool that is shared and cross utilized on-demand within the edge network by any individual device. We implement the Hive, along with a dedicated communication protocol for our system. We evaluate the effectiveness of the Hive by integrating it with two sample IoT applications: an audio-based emotion recognition system, and a video-based facial detection application. We extensively evaluate the impact the Hive has on these new applications after integration, and additionally investigate its impact at scale. Our results show how the hive boosts the overall utilization of resources in an edge IoT network, reduces computational delay in complex applications, and most importantly, enables applications to perform at higher level of effectiveness.","PeriodicalId":375577,"journal":{"name":"2020 IEEE/ACM Symposium on Edge Computing (SEC)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132980547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Poster: Lambda architecture for robust condition based maintenance with simulated failure modes 海报:Lambda架构用于基于模拟故障模式的鲁棒状态维护

2020 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2020-11-01 DOI: 10.1109/SEC50012.2020.00019

D. Maeda, S. Gaur

{"title":"Poster: Lambda architecture for robust condition based maintenance with simulated failure modes","authors":"D. Maeda, S. Gaur","doi":"10.1109/SEC50012.2020.00019","DOIUrl":"https://doi.org/10.1109/SEC50012.2020.00019","url":null,"abstract":"Condition based maintenance (CBM) is increasingly seen as a promising approach for addressing downtime issues which are a common occurrence in the manufacturing industry and are a major cause of lost productivity. However, it has been a challenge to develop a generic CBM solution that works for all assets since each asset has unique sources of noise. This mandates use of manual diagnostics to custom tailor a solution for each asset for accurate failure mode identification (FMI). This problem is further compounded by the scarcity of failure data. In this paper, we propose a lambda architecture for FMI of industrial assets that achieves low initial deployment cost while securing a reasonable classification accuracy. The lambda architecture consists of a light-compute edge node, such as Raspberry Pi, that processes high-speed vibration data in real-time to extract useful features and applies a deep-learning (DL) engine which is trained in a cloud platform, such as AWS. In addition, we also incorporate a failure modes’ feature simulator so that DL models can adapt to different industrial assets without costly failure data collection. Finally, experimental results are provided using the bearings’ failures dataset validating the proposed cost-effective CBM architecture with high accuracy and scalability.","PeriodicalId":375577,"journal":{"name":"2020 IEEE/ACM Symposium on Edge Computing (SEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128783980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4