Abstract
The high scalability feature of cloud storage systems benefits many companies and organizations. However, most available cloud storage systems lack for providing a full transaction processing support that is really needed by many daily-use applications such as on-line ticket booking. Although a few cloud-based transaction processing systems have been proposed, they achieve barely satisfactory throughput when the conflict-intensive workload is performed. In this context, this paper presents a cloud-based transaction processing system called "TSorter" that uses a conflict-aware scheduling scheme for achieving the high throughput when the conflict-intensive workload is performed. Moreover, Tsorter uses a data caching and an affinity-based scheduling schemes to improve the per-node performance. The experiment results indicate that Tsorter achieves the high throughput, irrespective of the workload types (i.e. the conflict-intensive workload or the conflict-free workload).
The authors are grateful to the National Science Council of Taiwan for the financial support. (This research was funded by contract NSC99-2221-E426-007-MY3).
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Chen, PC., Su, YL., Chang, JB., Shieh, CK. (2011). TSorter: A Conflict-Aware Transaction Processing System for Clouds. In: Park, J.J., Yang, L.T., Lee, C. (eds) Future Information Technology. Communications in Computer and Information Science, vol 184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22333-4_8
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DOI: https://doi.org/10.1007/978-3-642-22333-4_8
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