NDLI: A New File System I/O Mode for Efficient User-level Caching

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Efficient Event Correlation over Distributed Systems

Optimal Resource Configuration of Complex Services in the Cloud

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High-Performance Key-Value Store On OpenSHMEM

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A Robust Tabu Search Heuristic for VM Consolidation under Demand Uncertainty in Virtualized Datacenters

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A New File System I/O Mode for Efficient User-level Caching

Content Provider	ACM Digital Library
Author	Min, Cheolgi Yeom, HeonYoung Park, Jiwoong
Abstract	A large number of cloud datastores have been developed to handle the cloud OLTP workload. Double caching problem where the same data resides both at the user buffer and the kernel buffer has been identified as one of the problems and has been largely solved by using direct I/O mode to bypass the kernel buffer. However, maintaining the caching layer only in user-level has the disadvantage that the user process may monopolize memory resources and that it is difficult to fully utilize the system memory due to the risks of the forced termination of the process or the unpredictable performance degradation in case of memory pressure. In this paper, we propose a new I/O mode, DBIO, to efficiently exploit OS kernel buffer as a victim cache for user-level file content cache, enjoying the strengths of kernel-level cache rather than just skipping it. DBIO provides the new file read/write function calls, which enable user programs to dynamically choose the right I/O behavior based on their context when issuing I/Os instead of when opening the file. On the cloud key-value store workloads and the traditional OLTP workloads with the modified version of MySQL/InnoDB, DBIO improves the in-memory cache hit ratio and the transaction performance compared to both buffered and direct I/O mode, fully utilizing the user buffer and the kernel buffer without double caching.
Starting Page	649
Ending Page	658
Page Count	10
File Format	PDF
ISBN	9781509066100
DOI	10.1109/CCGRID.2017.75
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-05-14
Access Restriction	Subscribed
Subject Keyword	Buffer pool Victim cache Double caching Page cache
Content Type	Text
Resource Type	Article

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