Goal-Based Request Cloud Resource Broker in Medical Application
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
Goal-Based Request Cloud Resource Broker in Medical Application

Authors: Mohamad Izuddin Nordin, Azween Abdullah, Mahamat Issa Hassan

Abstract:

In this paper, cloud resource broker using goalbased request in medical application is proposed. To handle recent huge production of digital images and data in medical informatics application, the cloud resource broker could be used by medical practitioner for proper process in discovering and selecting correct information and application. This paper summarizes several reviewed articles to relate medical informatics application with current broker technology and presents a research work in applying goal-based request in cloud resource broker to optimize the use of resources in cloud environment. The objective of proposing a new kind of resource broker is to enhance the current resource scheduling, discovery, and selection procedures. We believed that it could help to maximize resources allocation in medical informatics application.

Keywords: Broker, Cloud Computing, Medical Informatics, Resources Discovery, Resource Selection.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1330141

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2010

References:


[1] P. Aggarwal and H. Sardana, "Content Based Medical Image Retrieval: Theory, Gaps and Future Directions," on Graphics, Vision and Image, vol. 9, pp. 27-37, 2009.
[2] K. R. Sepucha, J. K. Belkora, D. Tripathy, and L. J. Esserman, "Building bridges between physicians and patients: results of a pilot study examining new tools for collaborative decision making in breast cancer.," Journal of clinical oncology : official journal of the American Society of Clinical Oncology, vol. 18, pp. 1230-1238, 2000.
[3] H. Kosch, R. S┼éota, L. Böszörményi, J. Kitowski, J. Otfinowski, and P. W├│jcik, "A Distributed Medical Information System for Multimedia Data ÔÇö The First Year-s Experience of the PARMED Project," in High Performance Computing and Networking. vol. 1823, M. Bubak, et al., Eds., ed: Springer Berlin / Heidelberg, 2000, pp. 543-546.
[4] H. M├╝ller, N. Michoux, D. Bandon, and A. Geissbuhler, "A review of content-based image retrieval systems in medical applications-clinical benefits and future directions," International Journal of Medical Informatics, vol. 73, pp. 1-23, 2004.
[5] J. Montagnat, H. Duque, J. M. Pierson, V. Breton, L. Brunie, and I. E. Magnin, "Medical Image Content-Based Queries Using the Grid," in Proceedings of the first European HealthGrid conference, 2004, pp. 1- 8.
[6] S. Venugopal, R. Buyya, and L. Winton, "A grid service broker for scheduling distributed data-oriented applications on global grids," in Proceedings of the 2nd workshop on Middleware for grid computing, Toronto, Ontario, Canada, 2004, pp. 1-15.
[7] M. R. Guarracino, G. Laccetti, and A. Murli, "Application Oriented Brokering in Medical Imaging: Algorithms and Software Architecture," in Advances in Grid Computing - EGC 2005. vol. Volume 3470, ed: Springer Berlin / Heidelberg, 2005, pp. 972-981.
[8] E. Elmroth and J. Tordsson, "Grid resource brokering algorithms enabling advance reservations and resource selection based on performance predictions," Future Gener. Comput. Syst., vol. 24, pp. 585-593, 2008.
[9] R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility," Future Gener. Comput. Syst., vol. 25, pp. 599-616, 2009.
[10] D. Budgen, M. Rigby, P. Brereton, and M. Turner, "A Data Integration Broker for Healthcare Systems," Computer, vol. 40, pp. 34-41, 2007.
[11] D. John, C. Liliana, G. Stefania, T. Vlad, G. Alessio, N. Barry, and P. Carlos, "IRS-III: A broker-based approach to semantic Web services," Web Semantics: Science, Services and Agents on the World Wide Web, vol. 6, pp. 109-132, 2008.
[12] The computer-based patient record: an essential technology for health care: National Academy Press, 1991.
[13] M. Rigby, D. Budgen, M. Turner, I. Kotsiopoulos, P. Brereton, J. Keane, K. Bennett, M. Russell, P. Layzell, and F. Zhu, "A datagathering broker as a future-orientated approach to supporting EPR users," International Journal of Medical Informatics, vol. 76, pp. 137- 144, 2007/3//.
[14] I. Foster, Y. Zhao, I. Raicu, and S. Lu, "Cloud Computing and Grid Computing 360-Degree Compared," in Grid Computing Environments Workshop, 2008. GCE '08, 2008, pp. 1-10.
[15] A. Rosenthal, P. Mork, M. H. Li, J. Stanford, D. Koester, and P. Reynolds, "Cloud computing: A new business paradigm for biomedical information sharing," Journal of Biomedical Informatics, vol. 43, pp. 342-353, 2009.
[16] A. Kertész and P. Kacsuk, "GMBS: A new middleware service for making grids interoperable," Future Generation Computer Systems, vol. 26, pp. 542-553.