CSR:Small: Enabling Sensor-Rich Vehicular Applications with Edge Computing
CSR:Small:通过边缘计算实现传感器丰富的车辆应用
基本信息
- 批准号:1717064
- 负责人:
- 金额:$ 49.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-10-01 至 2022-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project is developing methodologies and systems that support sensor-rich vehicular applications by offloading computation to edge compute resources located at roadside and embedded within cellular networks. The modern vehicle has cameras, microphones, location and positioning sensors that all supplement detailed monitoring of vehicle motion and operation. These sensors can supply data for advanced applications, such as personal driving assistants, automated road hazard detection, and augmented display of driving data (e.g., highlighting turn-by-turn directions or available parking on the vehicle windshield). However, sensor-rich applications also require substantial computing power that is unavailable in the vehicle. These applications cannot leverage cloud resources because the latency of communicating with remote data centers is too high and the bandwidth available over wide-area networks is too limited. Instead, this project is supporting sensor-rich applications by offloading their computation to nearby servers located at the network edge. This work has the potential to enable applications with great societal benefit. Sensor-rich vehicular applications promise to improve driving efficiency; for example, by reducing congestion and idling time by guiding drivers directly to available parking spots. These applications can also substantially improve road safety; for example, by providing automated, crowd-sourced road hazard detection. The project is prototyping these applications and developing the infrastructure required for their deployment. The research results, traces of vehicular applications and environments, and open-source software artifacts developed by this project are available at: http://pervasive.eecs.umich.edu/vehicular-edge.html.Since vehicles will remain near edge resources for only limited periods of time, the project is creating methods for fast handover of state and computation from one edge resource to another. Vehicle mobility introduces considerable variability in network and service performance, so the project is investigating how the principled use of redundancy can improve average and worst-case response time. Finally, to support applications with extremely tight time bounds, the project is using speculative execution to hypothesize multiple possible futures that depend on vehicle speed and direction, calculate results based on those futures, and then select the appropriate response based upon actual vehicle motion during the time when calculations were made.
该项目正在开发支持传感器丰富的车辆应用的方法和系统,方法是将计算卸载到位于路边并嵌入蜂窝网络的边缘计算资源。现代车辆配备了摄像头、麦克风、位置和定位传感器,所有这些都补充了对车辆运动和操作的详细监控。这些传感器可以为高级应用提供数据,例如个人驾驶助理、自动道路危险检测和增强的驾驶数据显示(例如,突出显示车辆挡风玻璃上的逐个转弯方向或可用停车位)。然而,传感器丰富的应用程序也需要大量的计算能力,这是车辆无法获得的。这些应用程序无法利用云资源,因为与远程数据中心通信的延迟太高,并且广域网络上可用的带宽太有限。相反,该项目通过将传感器丰富的应用程序的计算负载转移到位于网络边缘的附近服务器来支持这些应用程序。这项工作有可能使应用程序具有巨大的社会效益。传感器丰富的车辆应用程序有望提高驾驶效率;例如,通过直接将司机引导到可用的停车点来减少拥堵和空转时间。这些应用程序还可以显著提高道路安全;例如,通过提供自动、群众来源的道路危险检测。该项目正在制作这些应用程序的原型,并开发部署它们所需的基础设施。该项目开发的研究成果、车辆应用和环境的痕迹以及开源软件构件可在以下位置获得:http://pervasive.eecs.umich.edu/vehicular-edge.html.Since车辆将仅在有限的时间段内保持在边缘资源附近,该项目正在创建从一个边缘资源到另一个边缘资源的快速状态切换和计算方法。车辆移动性在网络和服务性能中引入了相当大的变异性,因此该项目正在调查冗余的原则使用如何能够改善平均和最坏情况的响应时间。最后,为了支持时间限制非常紧迫的应用程序,该项目使用投机性执行来假设依赖于车辆速度和方向的多个可能的未来,基于这些未来计算结果,然后根据计算期间的实际车辆运动选择适当的响应。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
RAVEN: Improving Interactive Latency for the Connected Car
- DOI:10.1145/3241539.3241571
- 发表时间:2018-10
- 期刊:
- 影响因子:0
- 作者:Hyunjong Lee;J. Flinn;Basavaraj Tonshal
- 通讯作者:Hyunjong Lee;J. Flinn;Basavaraj Tonshal
Gremlin: scheduling interactions in vehicular computing
Gremlin:车辆计算中的交互调度
- DOI:10.1145/3132211.3134450
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Lee, Kyungmin;Flinn, Jason;Noble, Brian D.
- 通讯作者:Noble, Brian D.
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Brian Noble其他文献
Proceedings of the 4th World Conference on Research Integrity
- DOI:
10.1186/s41073-016-0012-9 - 发表时间:
2016-07-14 - 期刊:
- 影响因子:10.700
- 作者:
Susan Patricia O’Brien;Danny Chan;Frederick Leung;Eun Jung Ko;Jin Sun Kwak;TaeHwan Gwon;Ji Min Lee;Min-Ho Lee;Helga Nolte;Michael Gommel;Gerlinde Sponholz;Yordanka Krastev;Yamini Sandiran;Julia Connell;Nicky Solomon;Ursa Opara Krasovec;Renata Sribar;Brian C. Martinson;Carol R. Thrush;C. K. Gunsalus;Ivan Oransky;Adam Marcus;Chris Graf;Verity Warne;Edward Wates;Sue Joshua;Miguel Roig;Michael Mumford;Mylène Deschênes;Catherine Olivier;Raphaëlle Dupras-Leduc;Zoë Hammatt;Raju Tamot;Robin Parker;Cynthia Ricard;Loc Nguyen-Khoa;Sandra Titus;Karsten Klint Jensen;Simon Godecharle;Ben Nemery;Kris Dierickx;Mickey Gjerris;Maud Marion Laird Eriksen;Jeppe Berggren Hoej;Nicholas H. Steneck;Camille Nebeker;Michael Kalichman;Elizabeth Mejia Booen;Blanca Azucena Pacheco;Rebeca Espinosa Giacinto;Sheila Castaneda;Ding Li;Qiong Chen;Guoli Zhu;Zhonghe Sun;Badaruudin Abbasi;Parthasarathi Ganguly;Barna Ganguly;Noémie Aubert Bonn;Kris Dierickx;Simon Godecharle;Daniele Bourcier;Jacques Bordé;Michèle Leduc;Chien Chou;Sophia Jui-An Pan;Louis Xaver Tiefenauer;Daniel Barr;Paul Taylor;Lyn Margaret Horn;Deborah Poff;Martina Mavrinac;Gordana Brumini;Mladen Petrovečki;Christiane Coelho Santos;Sonia Vasconcelos;Rachael Lammey;Chris Hartgerink;Marcel van Assen;Jelte Wicherts;Hanne Silje Hauge;Aaron Manka;Raffael Iturrizaga;Nicole Foeger;A. Roxana Lescano;Claudio Lanata;Gissella Vasquez;Leguia Mariana;Marita Silva;Mathew Kasper;Claudia Montero;Daniel Bausch;Andres G. Lescano;Fenneke Blom;Lex Bouter;Laetus O. K. Lategan;Gustavo Fitas Manaia;Wayne T. McCormack;William L. Allen;Shane Connelly;Joshua Crites;Jeffrey Engler;Victoria Freedman;Cynthia W. Garvan;Paul Haidet;Joel Hockensmith;William McElroy;Erik Sander;Rebecca Volpe;Michael F. Verderame;Snezana Krstic;Louise Handy;Debra Schaller-Demers;Paul Taylor;Daniel Barr;Inge Lerouge;Gerard Cielen;Liliane Schoofs;Ana Marusic;Flaminio Squazzoni;David Vaux;Khalid Al-Wazzan;Ibrahim Alorainy;Chris Graf;Verity Warne;Nolan O’Brien;Suzanne Guerin;Philip Dodd;Frank Wells;Catherine Blewett;Fredric M. Litto;Itziar De Lecuona;Erika Löfstrom;Katrien Maes;Kris Dierickx;Noémie Bonn;Simon Godecharle;Tony Peatfield;Olivier Boehme;Cinzia Caporale;Daniele Fanelli;John Carfora;Eric Strauss;William Lynn;Dieter De Bruyn;Bracke Nele;Katrien De Gelder;Stefanie Van der Burght;José Roberto Lapa e Silva;Sonia M. R. Vasconcelos;Helene Ingierd;Mark Frankel;Daniel Vasgird;Stephanie Bird;Mark Yarborough;Ibrahim Alorainy;Khalid Al-Wazzan;Harold Garner;Lisa Campo-Engelstein;Zubin Master;Elise Smith;David Resnik;Bryn Williams-Jones;Mario Malicki;Ana Utrobicic;Ana Marusic;Daniele Fanelli;John P. A. Ioannidis;Gerben ter Riet;Tom Walley;Lex Marius Bouter;Jenny van der Steen;Lex Bouter;Sonia Vasconcelos;Martha Sorenson;Francisco Prosdocimi;Hatisaburo Masuda;Edson Watanabe;José Carlos Pinto;Marisa Palácios;José Lapa e Silva;Jacqueline Leta;Adalberto Vieyra;André Pinto;Mauricio Sant’Ana;Rosemary Shinkai;Boris Yudin;Etienne Vergès;Anne-Sophie Brun-Wauthier;Géraldine Vial;Torkild Vinther;Volker Bähr;Michael Kalichman;Dena Plemmons;Rebecca Lynn Davies;Katrina Laube;Cynthia Scheopner;John Galland;Hervé Maisonneuve;Evelyne Decullier;Brian Noble;Anja Gilis;David J. Gallacher;Tom Lavrijssen;Malwitz David;Malini Dasgupta;Hans Mols;Tony Savard;Eric Mah;Elizabeth Wager;Sabine Kleinert;Veronique Kiermer;Andrew Hufton;Melanie Clyne;Sonia Vasconcelos;Renan Moritz Almeida;Aldo Fontes-Pereira;Fernanda Catelani;Karina Rocha;Elizabeth Iorns;William Gunn;Michèle Leduc;Lucienne Letellier;Cornelia Malherbe;Takehito Kamata;Vidar Enebakk;Lynn Penrod;Thomas Nørgaard;Charlotte Elverdam;Yves Fassin;Cynthia Fekken;Jamal Adam;Melissa S. Anderson;Jelte Wicherts;Brett Buttliere;Trish Groves;Daniel Shanahan;Iveta Simera;Shona Kirtley;Eleana Villanueva;Caroline Struthers;Angela MacCarthy;Douglas Altman;Elena Grebenshchikova;Bronwyn Greene;Ted Rohr;Iveta Simera;Daniel Shanahan;Stephanie Harriman;Trish Groves;Caroline Struthers;Krista Varantola;Helga Nolte;Ursa Opara;Torkild Vinther;Elizabeth Wager;Thomas Nørgaard;Jon Rokne;Gianluca Setti;Gordon MacPherson;Ellen Hazelkorn;Carthage Smith;Robert H. McLaughlin;Tatiana Duque Martins;Tetsuya Tanimoto;Nicholas Steneck;Daniele Fanelli;Ragnvald Kalleberg;Tajammul Hussein;Ping Sun;Ovid Tzeng;Krista Varantola;Susan Zimmerman;Rosemary Shinkai;Roxana Lescano;Elizabeth Heitman;Maria Andrea Rocio del Pilar Contreras Nieto;Ibrahim Alorainy;Khalid Al-Wazzan;Chien Chou;Sophia Jui-An Pan;Eric Fong;Al Wilhite;Trish Groves;Désirée Motta-Roth;Joeri Tijdink;Yvo Smulders;Laetus O. K. Lategan;Michael Mumford;Logan Steele;Logan Watts;James Johnson;Shane Connelly;Lee Williams;Gerben ter Riet;Sufia Amini;Lotty Hooft;Halil Kilicoglu;Janneke van Seters;Herman Eijsackers;Fons Voragen;Akke van der Zijpp;Frans Brom;Badaruddin Abbasi;Naif Nasser Almasoud;Adri Labuschagne;Johanne Severinsen;Espen Engh;Daham Ismail Alani;H. J. Kamaruzaman Jusoff;Anita Gordon;Helen C. Harton;Dieter De Bruyn;Stefanie Van der Burght;Karina de Albuquerque Rocha;Sonia Maria Ramos de Vasconcelos;Limbanazo Matandika;Aline Carolina de Oliveira Machado Prata;Mark William Neff;Daniele Fanelli;Rodrigo Costas;Vincent Larivière;Douglas Leonardo Gomes Filho;Diego Oliveira Guedes;Volker Bähr;Niklas Keller;Markus Feufel;Nikolas Offenhauser;Maria K. Kowalczuk;Elizabeth C. Moylan;Katie Speanburg;Malini Dasgupta;Mariusz Lubomirski;Tom Lavrijssen;David Malwitz;David Gallacher;Anja Gillis;Maria Betânia de Freitas Marques;Laressa Lima Amâncio;Raphaela Dias Fernandes;Oliveira Patrocínio;Cláudia Maria Correia Borges Rech;Maria Betânia de Freitas Marques;Cláudia Maria Correia Borges Rech;Adriana Nascimento Sousa;Leila Posenato Garcia;Stephanie Harriman;Jigisha Patel;Farida Lada;Giuseppe Di Capua;Silvia Peppoloni;James M. DuBois;John Chibnall;Jillon Van der Wall;James M. DuBois;John Chibnall;Jillon Van der Wall;Raymond Tait;Jacob Holen;Adele Flakke Johannessen;Torunn Ellefsen;Claudia Rech;Adriana Sousa;Maria Betânia de Freitas Marques;Silvia Peppoloni;Giuseppe Di Capua;Laura Beranzoli;Paulo S. L. Beirão;Susan Zimmerman;Sabine Kleinert;Ana Marusic;Melissa S. Anderson;Lex Bouter - 通讯作者:
Lex Bouter
Brian Noble的其他文献
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{{ truncateString('Brian Noble', 18)}}的其他基金
CC-NIE Network Infrastructure: Expanding Connectivity to Campus-Wide Resources for Computational Discovery
CC-NIE 网络基础设施:将连接扩展到校园范围内的计算发现资源
- 批准号:
1245488 - 财政年份:2013
- 资助金额:
$ 49.94万 - 项目类别:
Standard Grant
NSF Workshop on Future Directions of Computer System Research in 2010
2010 年 NSF 计算机系统研究未来方向研讨会
- 批准号:
1036243 - 财政年份:2010
- 资助金额:
$ 49.94万 - 项目类别:
Standard Grant
CSR-PDOS: Availability-Aware Services
CSR-PDOS:可用性感知服务
- 批准号:
0615086 - 财政年份:2006
- 资助金额:
$ 49.94万 - 项目类别:
Standard Grant
Student Travel Support: ACM/USENIX MobiSys 2005
学生旅行支持:ACM/USENIX MobiSys 2005
- 批准号:
0532149 - 财政年份:2005
- 资助金额:
$ 49.94万 - 项目类别:
Standard Grant
CSR---PDOS: Information Pedigree
CSR---PDOS:信息谱系
- 批准号:
0509089 - 财政年份:2005
- 资助金额:
$ 49.94万 - 项目类别:
Continuing Grant
Transient Authentication for Mobile Devices
移动设备的瞬时身份验证
- 批准号:
0208740 - 财政年份:2002
- 资助金额:
$ 49.94万 - 项目类别:
Standard Grant
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