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Presentation

L-QoCo: Learning to Optimize Cache Capacity Overload Problem in Storage Systems
TimeTuesday, July 12th3:30pm - 3:50pm PDT
Location3004, Level 3
Event Type
Research Manuscript
Keywords
Embedded Memory, Storage and Networking
Topics
Embedded Systems
DescriptionMaintaining high and stable performance within the storage system is challenging. The optimization of cache capacity overload is a concise solution to the performance enhancement of the storage system. Some rule-based methods are proposed to solve this problem but still face challenges because the real-world workloads might be time-varying and the storage architecture is so complex and coupled that engineers are unable to find the bottleneck and tune it. We propose a light-weight learning-based control framework for cache capacity overload problem, called L-QoCo. Extensive experiments show that L-QoCo posses strong adaptability and significantly improves the performance of the storage systems.