research-article

Project Aura: Toward Distraction-Free Pervasive Computing

Authors:

Asim Smailagic,

Peter SteenkisteAuthors Info & Claims

IEEE Pervasive Computing, Volume 1, Issue 2

Pages 22 - 31

https://doi.org/10.1109/MPRV.2002.1012334

Published: 01 April 2002 Publication History

Abstract

Today's systems distract users in many ways, thereby reducing their effectiveness. Aura aims to minimize user distractions by trading plentiful computing resources for this scarcest of resources. Aura's approach is based on two broad concepts. First, it uses proactivity, so a system layer can anticipate requests from a higher layer. Second, it is self-tuning, so layers can adapt by observing current demands and adjusting their performance and resource usage characteristics accordingly. By applying these concepts at every layer in the system, the authors hope to build an environment that adapts to the user's context and needs with minimal user involvement. They will deploy a large-scale Aura system at Carnegie Mellon to help evaluate the research in a realistic setting.

References

[1]

M. Satyanarayanan, "Pervasive Computing Vision and Challenges," IEEE Personal Comm., vol. 6, no. 8, Aug. 2001, pp. 10-17.

[2]

M. Satyanarayanan, "Mobile Information Access," IEEE Personal Comm., vol. 3, no. 1, Feb. 1996, pp. 26-33.

[3]

M. Satyanarayanan, "Evolution of the Coda File System," to appear in ACM Trans. Computer Systems, ACM Press, New York, 2002.

[4]

J. Flinn D. Narayanan and M. Satyanarayanan, "Self Tuned Remote Execution for Pervasive Computing," Proc. 8th IEEE Workshop Hot Topics in Operating Systems, IEEE Press, Piscataway, N.J., 2001.

Digital Library

[5]

F. Chang and G. Gibson, "Automatic I/O Hint Generation Through Speculative Execution," Proc. 3rd Symp. Operating System Design and Implementation, Usenix, Berkeley, Calif., 1999, pp. 1-14.

Digital Library

[6]

D. Duchamp, "Prefetching Hyperlinks," Proc. 2nd Usenix Symp. Internet Technologies and Systems, Usenix, Berkeley, Calif., 1999.

Digital Library

[7]

M. Satyanarayanan, "Caching Trust Rather Than Content," Operating System Rev., vol. 34, no. 4, Oct. 2000, pp. 32-33.

Digital Library

[8]

P. Dinda, Signal Prediction and Its Application to Real Time Scheduling Advisors, doctoral dissertation, School of Computer Science, Carnegie Mellon University, 2000.

Digital Library

[9]

R. Wolski N. Spring and C. Peterson, Implementing a Performance Forecasting System for Metacomputing: The Network Weather Service, tech. report TR-CS97-540, Computer Science, Univ. of California, San Diego, 1997.

[10]

P. Francis, et al., "An Architecture for a Global Internet Host Distance Estimation Service," Infocom '99, IEEE Press, Piscataway, N.J., 1999, pp. 210-217.

[11]

P. Dinda, et al., "The Architecture of the Remos System," 10th IEEE Symp. High Performance Distributed Computing, IEEE Press, Piscataway, N.J., 2001, pp. 383-394.

Digital Library

[12]

A. Smailagic, et al., "Towards Context Aware Computing," IEEE Intelligent Systems, vol. 6, no. 3, May/June 2001, pp. 38-46.

[13]

P. Bahl and V.N. Padmanabhan, "Radar: An In-Building RF-Based User Location and Tracking System," Proc. IEEE Infocom, IEEE Press, Piscataway, N.J., 2000, pp. 775-784.

[14]

P. Bahl V.N. Padmanabhan and A. Balachandran, Enhancements to the Radar User Location and Tracking System, tech. report MSR-TR-00-12, Microsoft Research, Redmond, Wash., 2000.

[15]

The Common Object Request Broker: Architecture and Specification, 2.6 ed., Object Management Group, Needham, Mass., 2001.

[16]

K. Arnold, et al., The Jini Specification, Addison-Wesley, Reading, Mass., 1999.

Digital Library

[17]

Open Source for Service Discovery, Salutation Consortium, 2001.

[18]

G. Judd and P. Steenkiste, "Providing Contextual Information to Ubiquitous Computing Applications," submitted for publication, 2002; www.cs.cmu.edu/~aura/docdir/contserv02.pdf.

Cited By

Welber SZhao VDolin CMorkved OHoffmann HUr B(2021)Do Users Have Contextual Preferencesfor Smartphone Power Management?Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450613.3456813(44-54)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450613.3456813
Okoshi TTsubouchi KTokuda HTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)Real-World Product Deployment of Adaptive Push Notification Scheduling on SmartphonesProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330732(2792-2800)Online publication date: 25-Jul-2019
https://dl.acm.org/doi/10.1145/3292500.3330732
Zou LLi J(2018)An Implicit Smart Interaction Orienting to the Context Semantics of Mobile DeviceProceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence10.1145/3297156.3297265(500-505)Online publication date: 8-Dec-2018
https://dl.acm.org/doi/10.1145/3297156.3297265
Show More Cited By

Index Terms

Project Aura: Toward Distraction-Free Pervasive Computing

Recommendations

Towards seamless mobility on pervasive hardware

Preserving one's uniquely customized computing environment as one moves to different locations is an enduring challenge in mobile computing. We examine why this capability is valued so highly, and what makes it so difficult to achieve for personal ...
Novel Pervasive Computing Services Experienced through Personal Smart Spaces
MDM '09: Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware

A major research challenge in the IT domain nowadays is to enable new experiences by building intelligent spaces around users, enhanced by pervasive computing services. The European FP7 Project PERSIST (PERsonal Self-Improving SmarT spaces) is ...
Better to Ask Than Assume: Proactive Voice Assistants’ Communication Strategies That Respect User Agency in a Smart Home Environment
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Proactive voice assistants (VAs) in smart homes predict users’ needs and autonomously take action by controlling smart devices and initiating voice-based features to support users’ various activities. Previous studies on proactive systems have primarily ...

Comments

Information & Contributors

Information

Published In

cover image IEEE Pervasive Computing

IEEE Pervasive Computing Volume 1, Issue 2

April 2002

89 pages

ISSN:1536-1268

Issue’s Table of Contents

Copyright © Copyright © 2002 IEEE. All Rights Reserved.

Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 April 2002

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

201
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 26 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Welber SZhao VDolin CMorkved OHoffmann HUr B(2021)Do Users Have Contextual Preferencesfor Smartphone Power Management?Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450613.3456813(44-54)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450613.3456813
Okoshi TTsubouchi KTokuda HTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)Real-World Product Deployment of Adaptive Push Notification Scheduling on SmartphonesProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330732(2792-2800)Online publication date: 25-Jul-2019
https://dl.acm.org/doi/10.1145/3292500.3330732
Zou LLi J(2018)An Implicit Smart Interaction Orienting to the Context Semantics of Mobile DeviceProceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence10.1145/3297156.3297265(500-505)Online publication date: 8-Dec-2018
https://dl.acm.org/doi/10.1145/3297156.3297265
Carvalho RAndrade Rde Oliveira K(2018)AQUArIUM - A suite of software measures for HCI quality evaluation of ubiquitous mobile applicationsJournal of Systems and Software10.1016/j.jss.2017.11.022136:C(101-136)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.jss.2017.11.022
Uddin IRakib AHaque HVinh P(2018)Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge SourcesMobile Networks and Applications10.1007/s11036-017-0899-523:1(13-26)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s11036-017-0899-5
Lalanda PMorand D(2018)Service-Oriented Approach for Analytics in Industry 4.0Service-Oriented Computing10.1007/978-3-030-03596-9_54(756-770)Online publication date: 12-Nov-2018
https://dl.acm.org/doi/10.1007/978-3-030-03596-9_54
Mikhailov SKashevnik A(2017)M3-Driven Smart Space Creation Using a DD-WRT-Based DeviceProceedings of the 20th Conference of Open Innovations Association FRUCT10.23919/FRUCT.2017.8071323(275-283)Online publication date: 10-Apr-2017
https://dl.acm.org/doi/10.23919/FRUCT.2017.8071323
Tsubouchi KOkoshi TLee STakayama LTruong K(2017)People's interruptibility in-the-wildProceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers10.1145/3123024.3124556(922-927)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3123024.3124556
Baumann PSantini S(2017)Every Byte CountsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/30900521:2(1-29)Online publication date: 30-Jun-2017
https://dl.acm.org/doi/10.1145/3090052
Paspallis NAlshaal SBinder WCortellessa VKoziolek ASmirni EPoess M(2017)Improving QoE via Context PredictionProceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion10.1145/3053600.3053603(31-34)Online publication date: 18-Apr-2017
https://dl.acm.org/doi/10.1145/3053600.3053603
Show More Cited By

View Options

View options

Figures

Tables

Media

View Issue’s Table of Contents