ACM, Indianapolis (2010)Ĭooper, B.F., Silberstein, A., Tam, E., Ramakrishnan, R., Sears, R.: Benchmarking cloud serving systems with YCSB. In: Proceedings of the 1st ACM Symposium on Cloud Computing, pp. Springer, Heidelberg (2009)ĭas, S., Agrawal, D., Abbadi, A.E.: G-Store: a scalable data store for transactional multi key access in the cloud. Wei, Z., Pierre, G., Chi, C.: Scalable transactions for web applications in the cloud. Technical Report IR-CS-053, Vrije Universiteit, Amsterdam, The Netherlands (February 2010), Wei, Z., Pierre, G., Chi, C.: CloudTPS: Scalable transactions for Web applications in the cloud. In: Proceedings of the ACM SIGPLAN 2000 Conference on Programming Language Design and Implementation, pp. Keywordsīala, V., Duesterwald, E., Banerjia, S.: Dynamo: a transparent dynamic optimization system. the conflict-intensive workload or the conflict-free workload). The experiment results indicate that Tsorter achieves the high throughput, irrespective of the workload types (i.e. Moreover, Tsorter uses a data caching and an affinity-based scheduling schemes to improve the per-node performance. 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. Although a few cloud-based transaction processing systems have been proposed, they achieve barely satisfactory throughput when the conflict-intensive workload is performed.
#PURPOSE OF TRANSACTION PROCESSING SYSTEM FULL#
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.
The high scalability feature of cloud storage systems benefits many companies and organizations.
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