research-article

BuildingDepot: an extensible and distributed architecture for building data storage, access and sharing

Authors:

Yuvraj Agarwal,

Daisuke Komaki,

Thomas WengAuthors Info & Claims

BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

Pages 64 - 71

https://doi.org/10.1145/2422531.2422545

Published: 06 November 2012 Publication History

Abstract

Enabled by various sensing and data networking devices, modern buildings are beginning to generate extraordinary amounts of sensory data. The organization and availability of this data is currently a challenge, especially for researchers who seek to devise intelligent data-driven methods for energy efficient use of building systems. Most current solutions tend to be ad-hoc and proprietary, and thus do not support mechanisms for easy data acess and sharing.

In this paper we present BuildingDepot, an extensible and distributed system for building-related data with scalable data storage, ease of data access, fine-grained data sharing and access control as first class design principles. We focus on the overall architecture and highlight how our own experiences running multiple building deployments have shaped our design decisions. We have implemented a prototype of BuildingDepot, along with connectors to several standard energy management systems, showing how it enables enterprises to incrementally deploy the system as well as Get and Put data into BuildingDepot using a REST-style API. We have released it as open source software to the building research community.

References

[1]

Y. Agarwal, B. Balaji, R. Gupta, J. Lyles, M. Wei, and T. Weng. Occupancy-Driven Energy Management for Smart Building Automation. In ACM Workshop on Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys), 2010.

Digital Library

[2]

Y. Agarwal, B. Balaji, R. Gupta, and T. Weng. Duty-Cycling Buildings Aggressively: The Next Frontier in HVAC Control. In ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 2011.

[3]

Y. Agarwal, T. Weng, and R. Gupta. The Energy Dashboard: Improving the Visibility of Energy Consumption at a Campus-Wide Scale. In ACM Workshop on Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys), 2009.

Digital Library

[4]

P. Arjunan, N. Batra, A. Singh, P. Singh, H. Choi, and M. B. Srivastava. SensorACT: A Privacy and Security Aware Federated Middleware for Building Management. ACM Workshop on Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys), 2012.

Digital Library

[5]

California Energy Commission. CEC End-Use Survey, CEC-400-2006-005, March 2006. http://buildingsdatabook.eren.doe.gov/.

[6]

S. Dawson-Haggerty, X. Jiang, G. Tolle, J. Ortiz, and D. Culler. sMAP: A Simple Measurement and Actuation Profile for Physical Information. In ACM Conference on Embedded Networked Sensor Systems (SenSys), 2010.

Digital Library

[7]

D. T. Delaney, G. O'Hare, M. P. Gregory, and A. G. Ruzzelli. Evaluation of energy-efficiency in lighting systems using sensor networks. ACM Workshop on Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys), 2009.

Digital Library

[8]

Department of Energy (DOE). Buildings Energy Data Book, March 2009. http://buildingsdatabook.eren.doe.gov/.

[9]

X. Jiang, M. V. Ly, J. Taneja, P. Dutta, and D. Culler. Experiences with a High-Fidelity Wireless Building Energy Auditing Network. In ACM Conference on Embedded Networked Sensor Systems (SenSys), 2009.

Digital Library

[10]

D. Jung and A. Savvides. Estimating Building Consumption Breakdowns using ON/OFF State Sensing and Incremental Sub-Meter Deployment. In ACM Conference on Embedded Networked Sensor Systems (SenSys), 2010.

Digital Library

[11]

Y. Kim, T. Schmid, Z. Charbiwala, J. Friedman, and M. B. Srivastava. NAWMS: Nonintrusive Autonomous Water Monitoring System. In ACM Conference on Embedded Networked Sensor Systems (SenSys), 2008.

Digital Library

[12]

Y. Kim, T. Schmid, Z. M. Charbiwala, and M. B. Srivastava. ViridiScope: Design and Implementation of a Fine Grained Power Monitoring System for Homes. In ACM Conference on Ubiquitous Computing (Ubicomp), 2009.

Digital Library

[13]

J. Lifton, M. Feldmeier, Y. Ono, C. Lewis, and J. A. Paradiso. A Platform for Ubiquitous Sensor Deployment in Occupational and Domestic Environments. In ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 2007.

Digital Library

[14]

J. Lu, T. Sookoor, V. Srinivasan, G. Ge, B. Holben, J. Stankovic, E. Field, and K. Whitehouse. The Smart Thermostat: Using Occupancy Sensors to Save Energy in Homes. In ACM Conference on Embedded Networked Sensor Systems (SenSys), 2010.

Digital Library

[15]

A. Rowe, M. Berges, G. Bhatia, E. Goldman, R. Rajkumar, L. Soibelman, J. Garrett, and J. M. F. Moura. Sensor Andrew: Large-Scale Campus-Wide Sensing and Actuation, CMU Tech Report, ECE-TR-08-11, 2008.

[16]

A. Rowe, M. Berges, and R. Rajkumar. Contactless Sensing of Appliance State Transitions Through Variations in Electromagnetic Fields. In ACM Workshop on Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys), 2010.

Digital Library

[17]

T. Weng, B. Balaji, S. Dutta, R. Gupta, and Y. Agarwal. Managing Plug-Loads for Demand Response within Buildings. In ACM Workshop on Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys), 2011.

Digital Library

Cited By

Chamari LPetrova EPauwels P(2023)An End-to-End Implementation of a Service-Oriented Architecture for Data-Driven Smart BuildingsIEEE Access10.1109/ACCESS.2023.332576711(117261-117281)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3325767
Chan RYan WMa JLoh KYu TLow MRehman HPhua T(2023)Security-Enhanced Orchestration Platform for Building Management SystemsCritical Infrastructure Protection XVII10.1007/978-3-031-49585-4_8(164-176)Online publication date: 29-Dec-2023
https://doi.org/10.1007/978-3-031-49585-4_8
Wei PXia SChen RQian JLi CJiang X(2020)A Deep-Reinforcement-Learning-Based Recommender System for Occupant-Driven Energy Optimization in Commercial BuildingsIEEE Internet of Things Journal10.1109/JIOT.2020.29748487:7(6402-6413)Online publication date: Jul-2020
https://doi.org/10.1109/JIOT.2020.2974848
Show More Cited By

Index Terms

BuildingDepot: an extensible and distributed architecture for building data storage, access and sharing

Recommendations

Optimize Storage Placement in Sensor Networks

Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. Storage nodes are introduced in this paper to store the data collected from the sensors in their ...
Design and Implementation of a Private RESTful API to Leverage the Power of an eCommerce Platform
IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

An Application Programming Interface (API) facilitates direct access to the functionality provided by the web site and therefore leverages third-party efforts to add value to existing services. Over the past few years, there has been a significant ...
Data storage placement in sensor networks
MobiHoc '06: Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing

Data storage has become a important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. This paper introduces storage nodes to store the data collected from the sensors in their proximities. ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

BuildSys '12: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

November 2012

227 pages

ISBN:9781450311700

DOI:10.1145/2422531

General Chair:
George J. Pappas
University of Pennsylvania

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

National Science Foundation

Conference

SenSys '12

Sponsor:

SenSys '12: The 10th ACM Conference on Embedded Network Sensor Systems

November 6, 2012

Ontario, Toronto, Canada

Acceptance Rates

Overall Acceptance Rate 148 of 500 submissions, 30%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

30
Total Citations
View Citations
270
Total Downloads

Downloads (Last 12 months)9
Downloads (Last 6 weeks)0

Reflects downloads up to 25 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Chamari LPetrova EPauwels P(2023)An End-to-End Implementation of a Service-Oriented Architecture for Data-Driven Smart BuildingsIEEE Access10.1109/ACCESS.2023.332576711(117261-117281)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3325767
Chan RYan WMa JLoh KYu TLow MRehman HPhua T(2023)Security-Enhanced Orchestration Platform for Building Management SystemsCritical Infrastructure Protection XVII10.1007/978-3-031-49585-4_8(164-176)Online publication date: 29-Dec-2023
https://doi.org/10.1007/978-3-031-49585-4_8
Wei PXia SChen RQian JLi CJiang X(2020)A Deep-Reinforcement-Learning-Based Recommender System for Occupant-Driven Energy Optimization in Commercial BuildingsIEEE Internet of Things Journal10.1109/JIOT.2020.29748487:7(6402-6413)Online publication date: Jul-2020
https://doi.org/10.1109/JIOT.2020.2974848
Fierro GPritoni MAbdelbaky MLengyel DLeyden JPrakash AGupta PRaftery PPeffer TThomson GCuller D(2019)MortarACM Transactions on Sensor Networks10.1145/336637516:1(1-31)Online publication date: 6-Dec-2019
https://dl.acm.org/doi/10.1145/3366375
Fierro GPritoni MAbdelBaky MRaftery PPeffer TThomson GCuller DGupta RHuang PGonzalez M(2018)MortarProceedings of the 5th Conference on Systems for Built Environments10.1145/3276774.3276796(172-181)Online publication date: 7-Nov-2018
https://dl.acm.org/doi/10.1145/3276774.3276796
Andersen MKolb JChen KFierro GCuller DKatz R(2018)Democratizing Authority in the Built EnvironmentACM Transactions on Sensor Networks10.1145/319966514:3-4(1-26)Online publication date: 4-Dec-2018
https://dl.acm.org/doi/10.1145/3199665
Nacci ARana VBalaji BSpoletini PGupta RSciuto DAgarwal Y(2018)BuildingRulesACM Transactions on Cyber-Physical Systems10.1145/31855002:2(1-22)Online publication date: 23-May-2018
https://dl.acm.org/doi/10.1145/3185500
Bergés MLange HGao J(2018)Data-Driven Operation of Building Systems: Present Challenges and Future ProspectsAdvanced Computing Strategies for Engineering10.1007/978-3-319-91638-5_2(23-52)Online publication date: 19-May-2018
https://doi.org/10.1007/978-3-319-91638-5_2
Andersen MKolb JChen KCuller DKatz RWhitehouse KDutta PNoh H(2017)Democratizing authority in the built environmentProceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments10.1145/3137133.3137151(1-10)Online publication date: 8-Nov-2017
https://dl.acm.org/doi/10.1145/3137133.3137151
Lazarova-Molnar SMohamed N(2017)Collaborative data analytics for smart buildings: opportunities and modelsCluster Computing10.1007/s10586-017-1362-xOnline publication date: 15-Nov-2017
https://doi.org/10.1007/s10586-017-1362-x
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten