Goal-Based Request Cloud Resource Broker in Medical Application
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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:52156", author = "Mohamad Izuddin Nordin and Azween Abdullah and Mahamat Issa Hassan", title = "Goal-Based Request Cloud Resource Broker in Medical Application", 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.", volume = "5", number = "2", pages = "130-5", }
