Abstract
QoS-constrained policy has an advantage to guarantee QoS requirements requested by users. Quorum systems can ensure the consistency and availability of replicated data despite the benign failure of data repositories. We propose a Quorum based resource management scheme, which resource Quorum includes middleware entity and network entity, both can satisfy requirements of application QoS. We also suggest a heuristic configuration algorithm in order to optimize performance and usage cost of Resource Quorum. We evaluate both simulations and experiments based on the electrocardiogram (ECG) application for health care, because this application requires transferring giga-bytes of data and analyzing complicated signal of ECG. Simulation results show that network capabilities are more important than computing capabilities, as both sizes of transferred data and computation task increases. Experimental results show that our scheme can reduce the total execution time of ECG application by using proposed heuristic algorithm compared to policy based management scheme.
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Nam, D.S., Youn, CH., Lee, B.H., Clifford, G., Healey, J. (2004). QoS-Constrained Resource Allocation for a Grid-Based Multiple Source Electrocardiogram Application. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3043. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24707-4_44
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DOI: https://doi.org/10.1007/978-3-540-24707-4_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22054-1
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