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Supporting Fluctuating Transactional Workload

Ibrahima Gueye Hubert Naacke 1 Idrissa Sarr
1 BD - Bases de Données
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : This work deals with a fluctuating workload as in social applications where users interact each other in a temporary fashion. The data on which a user group focuses form a bundle and can cause a peak if the frequency of interactions as well as the number of users is high. To manage such a situation, one solution is to partition data and/or to move them to a more powerful machine while ensuring consistency and effectiveness. However, two problems may be raised such as how to partition data in a efficient way and how to determine which part of data to move in such a way that data are located on one single site. To achieve this goal, we track the bundles formation and their evolution and measure their related load for two reasons: (1) to be able to partition data based on how they are required by user interactions; and (2) to assess whether a machine is still able of executing transactions linked to a bundle with a bounded latency. The main gain of our approach is to minimize the number of machines used while maintaining low latency at a low cost
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Ibrahima Gueye, Hubert Naacke, Idrissa Sarr. Supporting Fluctuating Transactional Workload. 26th International Conference on Database and Expert Systems Applications (DEXA), Sep 2015, Valencia, Spain. pp.295-303, ⟨10.1007/978-3-319-22852-5_25⟩. ⟨hal-01510110⟩



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