2021 IEEE/ACM Symposium on Edge Computing (SEC)最新文献

Poster: Enabling Flexible Edge-assisted XR 海报:启用灵活的边缘辅助XR

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491408

Jin Heo, Ketan Bhardwaj, Ada Gavrilovska

{"title":"Poster: Enabling Flexible Edge-assisted XR","authors":"Jin Heo, Ketan Bhardwaj, Ada Gavrilovska","doi":"10.1145/3453142.3491408","DOIUrl":"https://doi.org/10.1145/3453142.3491408","url":null,"abstract":"Extended reality (XR) is touted as the next frontier of the digital future. XR includes all immersive technologies of augmented reality (AR), virtual reality (VR), and mixed reality (MR). XR applications obtain the real-world context of the user from an underlying system, and provide rich, immersive, and interactive virtual experiences based on the user's context in real-time. XR systems process streams of data from device sensors, and provide functionalities including perceptions and graphics required by the applications. These processing steps are computationally intensive, and the challenge is that they must be performed within the strict latency requirements of XR. This poses limitations on the possible XR experiences that can be supported on mobile devices with limited computing resources. In this XR context, edge computing is an effective approach to address this problem for mobile users. The edge is located closer to the end users and enables processing and storing data near them. In addition, the development of high bandwidth and low latency network technologies such as 5G facilitates the application of edge computing for latency-critical use cases [4], [11]. This work presents an XR system for enabling flexible edge-assisted XR.","PeriodicalId":6779,"journal":{"name":"2021 IEEE/ACM Symposium on Edge Computing (SEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74530207","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: 2

SecureFL: Privacy Preserving Federated Learning with SGX and TrustZone SecureFL: SGX和TrustZone的隐私保护联邦学习

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491287

E. Kuznetsov, Yitao Chen, Ming Zhao

引用次数: 12

Demo: OneOS - Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines 演示:OneOS -作为分布式POSIX管道运行边缘计算应用程序的中间件

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491423

Kumseok Jung, Julien Gascon-Samson, K. Pattabiraman

引用次数: 1

Microservice-based Edge Device Architecture for Video Analytics 基于微服务的视频分析边缘设备架构

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491283

Si Young Jang, B. Kostadinov, Dongman Lee

引用次数: 8

Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT Devices 气凝胶:用于基于webassembly的裸金属物联网设备的轻量级访问控制框架

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491282

Renju Liu, Mani Srivastava

{"title":"Aerogel: Lightweight Access Control Framework for WebAssembly-Based Bare-Metal IoT Devices","authors":"Renju Liu, Mani Srivastava","doi":"10.1145/3453142.3491282","DOIUrl":"https://doi.org/10.1145/3453142.3491282","url":null,"abstract":"Application latency requirements, privacy, and security concerns have naturally pushed computing onto smartphone and IoT devices in a decentralized manner. In response to these demands, researchers have developed micro-runtimes for WebAssembly (Wasm) on IoT devices to enable streaming applications to a runtime that can run the target binaries that are independent of the device. However, the migration of Wasm and the associated security research has neglected the urgent needs of access control on bare-metal, memory management unit (MMU)-less IoT devices that are sensing and actuating upon the physical environment. This paper presents Aerogel, an access control framework that addresses security gaps between the bare-metal IoT devices and the Wasm execution environment concerning access control for sensors, actuators, processor energy usage, and memory usage. In particular, we treat the runtime as a multi-tenant environment, where each Wasm-based application is a tenant. We leverage the inherent sandboxing mechanisms of Wasm to enforce the access control policies to sensors and actuators without trusting the bare-metal operating system. We evaluate our approach on a representative IoT development board: a cortexM4 based development board (nRF52840). Our results show that Aerogel can effectively enforce compute resource and peripheral access control policies while introducing as little as 0.19% to 1.04% runtime overhead and consuming only 18.8% to 45.9% extra energy.","PeriodicalId":6779,"journal":{"name":"2021 IEEE/ACM Symposium on Edge Computing (SEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91125645","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: 2

TrustZone Enhanced Plausibly Deniable Encryption System for Mobile Devices TrustZone增强的可信可否认移动设备加密系统

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3493512

Jinghui Liao, Bo Chen, Weisong Shi

{"title":"TrustZone Enhanced Plausibly Deniable Encryption System for Mobile Devices","authors":"Jinghui Liao, Bo Chen, Weisong Shi","doi":"10.1145/3453142.3493512","DOIUrl":"https://doi.org/10.1145/3453142.3493512","url":null,"abstract":"Modern mobile devices are increasingly used to store and process sensitive data. In order to prevent the sensitive data from being leaked, one of the best ways of protecting them and their owner is to hide the data with plausible deniability. Plausibly Deniable Encryption (PDE) has been designed for such purpose. The existing PDE systems for mobile devices however, have suffered from significant drawbacks as they either ignore the deniability compromises present in the special underlying storage media of mobile devices or are vulnerable to various new attacks such as side-channel attacks. In this work, we propose a new PDE system design for mobile devices which takes advantage of the hardware features equipped in the mainstream mobile devices. Our preliminary design has two major component: First, we strictly isolate the hidden and the public data in the flash layer, so that a multi-snapshot adversary is not able to identify the existence of the hidden sensitive data when having access to the low layer storage medium of the device. Second, we incorporate software and operating system level deniability into ARM TrustZone. With this TrustZone-enhanced isolation, our PDE system is immune to side-channel attacks at the operating system layer.","PeriodicalId":6779,"journal":{"name":"2021 IEEE/ACM Symposium on Edge Computing (SEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86747550","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

You Can Enjoy Augmented Reality While Running Around: An Edge-based Mobile AR System 你可以在跑步时享受增强现实:一个基于边缘的移动增强现实系统

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491416

Haoxin Wang, Jiang Xie

引用次数: 1

SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning SQuaFL:草图量化启发的沟通高效联邦学习

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491415

Pavana Prakash, Jiahao Ding, Minglei Shu, Junyi Wang, Wenjun Xu, Miao Pan

{"title":"SQuaFL: Sketch-Quantization Inspired Communication Efficient Federated Learning","authors":"Pavana Prakash, Jiahao Ding, Minglei Shu, Junyi Wang, Wenjun Xu, Miao Pan","doi":"10.1145/3453142.3491415","DOIUrl":"https://doi.org/10.1145/3453142.3491415","url":null,"abstract":"Federated Learning (FL) is a fast-growing distributed learning paradigm with widespread applications especially over mobile devices, since it trains high-quality deep learning models while keeping the data private. This aspect is most suitable in multi-access edge computing settings where FL leverages distributed data from numerous mobile edge devices for training. However, FL involves frequent global synchronization of periodic updates over links often with transmission rate limits, inflicting communication burdens. Moreover, the intensive on-device computation of local updates results in computation and memory overhead on resource constricted mobile devices. To address these challenges, in this paper, we introduce SQuaFL, a sketched quantization based novel FL method which aims at communication efficiency while preserving privacy. In particular, we compress the accumulation of local gradients using quantization and Count Sketches without adding explicit noise, sacrificing the learning performance, or introducing a computation overhead. We provide theoretical guarantees of convergence of our proposed scheme and perform extensive simulations to demonstrate its efficacy over baseline methods.","PeriodicalId":6779,"journal":{"name":"2021 IEEE/ACM Symposium on Edge Computing (SEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84894653","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: 2

The Performance Argument for Blockchain-based Edge DNS Caching 基于区块链的边缘DNS缓存的性能参数

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491288

James Choncholas, Ketan Bhardwaj, Ada Gavrilovska

{"title":"The Performance Argument for Blockchain-based Edge DNS Caching","authors":"James Choncholas, Ketan Bhardwaj, Ada Gavrilovska","doi":"10.1145/3453142.3491288","DOIUrl":"https://doi.org/10.1145/3453142.3491288","url":null,"abstract":"The Domain Name System (DNS,) a standard way of looking up IP addresses of Internet services, has served the Internet ecosystem well. However with the advent of edge computing, it falls short of many desirable properties. These include accurate fine-grained geographic localization of edge services, fast look-ups, and ensuring record freshness and cache integrity for end users. To satisfy these properties we consider blockchain-based solutions, a counter-intuitive approach as blockchain is not often associated with performance or the latency requirements of the edge. Despite this, we argue blockchain can address the shortcomings we've identified in DNS specifically in the edge context. We've found blockchain-based solutions are not sufficient as is, thus we present GeoENS - a prototype based on the Ethereum blockchain suitable for, and enabled by, the edge. It achieves these goals via novel record organization for smart contract, push-based record invalidation, and a look through cache. Given the skepticism of blockchain to out-perform DNS, we provide preliminary results which show GeoENS achieves its goals of fine-grained geo-localization accurate to ±20 meters, fast query latency for non-cached records under 50 ms, and cache freshness at edge scale of 10 minutes (vs. 3 hour DNS TTLs.) GeoENS does this with negligible bandwidth and CPU load overhead and reasonable storage requirements in the proposed deployment scenario.","PeriodicalId":6779,"journal":{"name":"2021 IEEE/ACM Symposium on Edge Computing (SEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72965777","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: 2

Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics 蜘蛛:用于实时视频分析的多跳毫米波网络

2021 IEEE/ACM Symposium on Edge Computing (SEC) Pub Date : 2021-12-01 DOI: 10.1145/3453142.3491291

Zhuqi Li, Yuanchao Shu, G. Ananthanarayanan, Longfei Shangguan, K. Jamieson, P. Bahl

{"title":"Spider: A Multi-Hop Millimeter-Wave Network for Live Video Analytics","authors":"Zhuqi Li, Yuanchao Shu, G. Ananthanarayanan, Longfei Shangguan, K. Jamieson, P. Bahl","doi":"10.1145/3453142.3491291","DOIUrl":"https://doi.org/10.1145/3453142.3491291","url":null,"abstract":"Massive video analytics systems, comprised of many densely-deployed cameras and supporting edge servers, are driving innovation in many areas including smart retail stores and security monitoring. To support such systems the challenge lies in collecting video footage in a way that maximizes end-to-end application goals, and scales this performance as camera density increases to meet application needs. This paper presents Spider, a multi-hop, millimeter-wave (mmWave) wireless relay network design that meets these needs. To mitigate physical mmWave link blockage, Spider integrates a low-latency Wi-Fi control plane with a mmWave relay data plane, allowing agile re-routing around blockages. Spider proposes a novel video bit-rate allocation algorithm coupled with a scalable routing algorithm that works hand-in-hand toward the application-level objective of maximizing video analytics accuracy, rather than simply maximizing data throughput. Our experimental evaluation uses a combination of testbed deployment and trace-driven simulation and compares against both Wi-Fi and mmWave mesh schemes that operate without Spider's algorithms. Results show that Spider is able to support camera densities up to 176% higher (gains of 2.76x) than the best-performing comparison scheme, allowing it alone to meet real-world camera density targets (4–250 cameras/1,000 sq. ft., depending on application). Further experiments demonstrate Spider's scalability in the presence of failures, with a 5.4-100x reduction in average failure recovery time.","PeriodicalId":6779,"journal":{"name":"2021 IEEE/ACM Symposium on Edge Computing (SEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74624435","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: 6