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- W2502178727 abstract "Solid State Drive (SSD) devices are used as either a cache or tier in hybrid storage structure, which is popular in storage industry for balanced drive response time and cost. The policies used to identify the hot/cold data and control the migration flow are critical to the performance. In particular, the migration size is one of the key factors. Fixed size of data migration generally cannot provide good performance when the workload properties change significantly. In this paper, we design a hybrid caching algorithm based on fuzzy control and decision tree which can adaptively adjust the data migration policies according to the workload properties. The fuzzy rules can be automatically generated through the training process of decision tree classification and regression. In addition, we develop a verified hybrid storage simulator with flexible structures and configurations. From the simulation, we show that the hybrid disk performance can be improved up to 20% for dynamically changed workload." @default.
- W2502178727 created "2016-08-23" @default.
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- W2502178727 date "2016-06-01" @default.
- W2502178727 modified "2023-09-23" @default.
- W2502178727 title "Online fuzzy logic control with decision tree for improving hybrid cache performance & symposia" @default.
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- W2502178727 doi "https://doi.org/10.1109/icca.2016.7505328" @default.
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