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A Lightweight and Scalable e-Transaction Protocol for Three-Tier Systems with Centralized Back-End Database.

, , and . IEEE Trans. Knowl. Data Eng., 17 (11): 1578-1583 (2005)

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Enhancing Performance Prediction Robustness by Combining Analytical Modeling and Machine Learning., , , and . ICPE, page 145-156. ACM, (2015)Self-tuning in Distributed Transactional Memory., , , and . Transactional Memory, volume 8913 of Lecture Notes in Computer Science, Springer, (2015)Information Systems and Organization - Empirical Findings Regarding the Introduction of Computers in Manufacturing Firms., , , and . IFIP Congress, page 223-227. (1977)On Bootstrapping Machine Learning Performance Predictors via Analytical Models., and . CoRR, (2014)A Flexible Framework for Accurate Simulation of Cloud In-Memory Data Stores., , , , , , , and . CoRR, (2014)Towards the Integration of Distributed Transactional Memories in Application Servers' Clusters., , , , and . QSHINE, volume 22 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 755-769. Springer, (2009)Transactional auto scaler: elastic scaling of in-memory transactional data grids., , , and . ICAC, page 125-134. ACM, (2012)Reducing the vulnerability window in distributed transactional protocols., , , and . PaPoC@EuroSys, page 10:1-10:4. ACM, (2015)Real-time state estimation of the EPFL-campus medium-voltage grid by using PMUs., , , , , , , , , and 3 other author(s). ISGT, page 1-5. IEEE, (2015)On the use of Clocks to Enforce Consistency in the Cloud., , , , and . IEEE Data Eng. Bull., 38 (1): 18-31 (2015)