Abstract
A great deal of research indicates that the shared disks (SD) cluster is suitable to high performance transaction processing, but the aggregation of SD cluster with real-time processing has not been investigated at all. By adopting cluster technology, the real-time services will be highly available and can exploit inter-node parallelism. In this paper, we investigate the feasibility of real-time processing in the SD cluster. Specifically, we evaluate the cross effect of real-time transaction processing algorithms and SD cluster algorithms with the simulation model of an SD-based real-time database system (SD-RTDBS).
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Lee, S., Ohn, K., Cho, H. (2005). Feasibility and Performance Study of a Shared Disks Cluster for Real-Time Processing. In: Kim, T.G. (eds) Artificial Intelligence and Simulation. AIS 2004. Lecture Notes in Computer Science(), vol 3397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30583-5_55
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DOI: https://doi.org/10.1007/978-3-540-30583-5_55
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