Abstract
Health care is becoming one of the country’s top priorities. This means that there is an increasing demand for quality medical devices, disease management plans, equipment and procedures, as well a need to improve cost-effectiveness. To cope up with this demand there is a need to manage the biomedical data in an effective manner. This progression involves the use of many distributed resources, such as high performance computational resources to analyze the biomedical data, mass storage systems to store them ,the medical instruments ,and advanced visualization and rendering tools. Grids offer the computational power, security and availability needed by such novel applications. The real time biomedical data acquisition plays a prominent role in times of emergency in health care environment. Grid is a distributed environment where data has to be accessed from different computational resources which may limit the in time accessibility of data. In this paper we are focusing on the need for storing the biomedical data on the grids and proposing Ant Colony Optimization algorithm which could be one of the possible solutions to make the crucial data on grids arrive in time before the treatment of the emergency patient is started.
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Haritha, A., Krishna, L.P., Suresh, Y., Kumar, K.P., Lakshmi, P.V.S. (2013). In Time Access of Biomedical Data through Ant Colony Optimization. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_35
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DOI: https://doi.org/10.1007/978-3-642-35314-7_35
Publisher Name: Springer, Berlin, Heidelberg
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