LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Publisher: IEEE Computer Society
Languages: English
Types: Part of book or chapter of book
Subjects:
Large scale distributed e-infrastructures are emerging as commodity resource platforms. The next generation of commodity e-infrastructures will encapsulate the physical or tangible world by integrating ubiquitous sensors. Cheap environmental and physiological sensors are being increasingly deployed by many commercial organisations. The process of discovering and accessing commercially available resources requires a market for providers and consumers to trade these resources. This paper argues that developing a market will encourage the commoditisation of environmental sensor networks. It presents an overall architecture and adopts algorithms to support the trading of commodity environmental sensor networks.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] H. Gilbert Miller and John Veiga. Cloud computing: Will commodity services benefit users long term? IT Professional, 11(6):57-59, 2009.
    • [2] Mohammad Hajjat et al. Cloudward bound: planning for beneficial migration of enterprise applications to the cloud. ACM SIGCOMM Computer Communication Review, 40(4):243-254, 2010.
    • [3] K. Lee and D. Hughes. System architecture directions for tangible cloud computing. In First ACIS International Symposium on Cryptography and Network Security, Data Mining and Knowledge Discovery, ECommerce Its Applications and Embedded Systems (CDEE), pages 258 -262, Oct. 2010.
    • [4] Luigi Atzori, Antonio Iera, and Giacomo Morabito. The internet of things: A survey. Computer Networks, 54(15):2787-2805, 2010.
    • [5] Alan Mainwaring, David Culler, Joseph Polastre, Robert Szewczyk, and John Anderson. Wireless sensor networks for habitat monitoring. In 1st ACM international workshop on Wireless sensor networks and applications, pages 88-97. ACM, 2002.
    • [6] Philip Levis, Sam Madden, Joseph Polastre, Robert Szewczyk, Alec Woo, David Gay, Jason Hill, Matt Welsh, Eric Brewer, and David Culler. Tinyos: An operating system for sensor networks. In in Ambient Intelligence. Springer Verlag, 2004.
    • [7] A. Dunkels, B. Gro¨nvall, and T. Voigt. Contiki - a lightweight and flexible operating system for tiny networked sensors. In Workshop on Embedded Networked Sensors, Tampa, Florida, USA, November 2004.
    • [8] Jonathan W. Hui and David E. Culler. Extending ip to low-power, wireless personal area networks. Internet Computing, IEEE, 12(4):37- 45, July-Aug. 2008.
    • [9] Dogan Yazar and Adam Dunkels. Efficient Application Integration in IP-based Sensor Networks. In Proceedings of ACM BuildSys 2009, the First ACM Workshop On Embedded Sensing Systems For EnergyEfficiency In Buildings, Berkeley, CA, USA, November 2009.
    • [10] G. Coulson, G. Blair, P. Grace, F. Taiani, A. Joolia, K. Lee, and J. Ueyama. A generic component model for building systems software. In ACM Transactions on Computer Systems, Vol. 26, No. 1, 2008.
    • [11] David Gay, Philip Levis, Robert von Behren, Matt Welsh, and Eric Brewer. The nesc language: A holistic approach to networked embedded systems. In ACM SIGPLAN conference on Programming language design and implementation, pages 1-11. ACM, 2003.
    • [12] D. Hughes, K. Thoelen, W. Horre, N. Matthys, S. Michiels, C. Huygens, and W. Joosen. Looci: A loosely-coupled component infrastructure for networked embedded systems. In 7th International Conference on Advances in Mobile Computing & Multimedia, Dec, 2008.
    • [13] Ramakrishna Gummadi et al. Kairos: a macro-programming system for wireless sensor networks. In Proceedings of the twentieth ACM symposium on Operating systems principles, pages 1-2, 2005.
    • [14] Samuel R. Madden, Michael J. Franklin, Joseph M. Hellerstein, and Wei Hong. Tinydb: an acquisitional query processing system for sensor networks. ACM Trans. Database Syst., 30(1):122-173, 2005.
    • [15] K. Lee, D. Murray, D. Goodfield, and M. Anda. Experiences and issues for environmental engineering sensor network deployments. In Digital Ecosystems Technologies (DEST), 2012 6th IEEE International Conference on, pages 1-6, 2012.
    • [16] Paul Smith, Danny Hughes, Keith J. Beven, Philip Cross, Wlodek Tych, Geoff Coulson, and Gordon Blair. Towards the provision of site specific flood warnings using wireless sensor networks. In Meteorological Applications, Special Issue: Flood Forecasting and Warning, volume 16, number 1, pages 57-64, 2009.
    • [17] Faith Singer-Villalobos. Scientists produce 3-d models of bp oil spill in gulf of mexico using ranger supercomputer, univeristy of texas, http://www.utexas.edu/news/2010/06/03/tacc ranger oil spill/. June 2010.
    • [18] S. Bhattacharya, S. Sridevi, and R. Pitchiah. Indoor air quality monitoring using wireless sensor network. In Sensing Technology (ICST), 2012 Sixth International Conference on, pages 422-427, 2012.
    • [19] Ian F Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. A survey on sensor networks. Communications magazine, IEEE, 40(8):102-114, 2002.
    • [20] Hughes D., Greenwood P., Coulson G., Blair G., Pappenberger F., Smith P., and Beven K. An experiment with reflective middleware to support grid-based flood monitoring. In in Wiley Inter-Science Journal on Concurrency and Computation: Practice and Experience, vol. 20, no 11, November 2007, pp 1303-1316, 2007.
    • [21] Wataru Tsujita, Akihito Yoshino, Hiroshi Ishida, and Toyosaka Moriizumi. Gas sensor network for air-pollution monitoring. Sensors and Actuators B: Chemical, 110(2):304 - 311, 2005.
    • [22] K. Lee, D. Murray, D. Hughes, and W. Joosen. Extending sensor networks into the cloud using amazon web services. In Networked Embedded Systems for Enterprise Applications (NESEA), 2010 IEEE International Conference on, pages 1-7, 2010.
    • [23] Wei Wang, K. Lee, and D. Murray. Integrating sensors with the cloud using dynamic proxies. In Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on, pages 1466-1471, 2012.
    • [24] B. Schnizler, D. Neumann, D. Veit, and C. Weinhardt. Trading grid services - a multi-attribute combinatorial approach. European Journal of Operational Research, 187(3):943-961, 2008.
    • [25] D. Veit G. Buss, K. Lee. Scalable grid resource allocation for scientific workflows using hybrid metaheurstics. In International Conference on Grid and Pervasive Computing (GPC 2010), Taiwan, May 2010.
    • [26] Michael H. Rothkopf, Aleksandar Pekecˇ, and Ronald M. Harstad. Computationally manageable combinatorial auctions. Management Science, 44(8):1131-1147, 1998.
    • [27] L. M. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner. A break in the clouds: towards a cloud definition. SIGCOMM Comput. Commun. Rev., 39(1):50-55, 2009. 1496100.
    • [28] A.S. Alrawahi and K. Lee. Multi-attribute combinatorial marketplaces for cloud resource trading. In Cloud and Green Computing (CGC), 2012 Second International Conference on, pages 81-88, 2012.
    • [29] Tuomas Sandholm, Subhash Suri, Andrew Gilpin, and David Levine. Cabob: A fast optimal algorithm for combinatorial auctions. In Bernhard Nebel, editor, IJCAI, pages 1102-1108. Morgan Kaufmann, 2001.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article