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Virtual I/O Caching: Effective Storage Cache Management for Concurrent Workloads
SESSION: Storage and Memory
EVENT TYPE: Paper
TIME: 10:30AM - 11:00AM
AUTHOR(S):Michael R. Frasca, Ramya Prabhakar, Padma Raghavan, Mahmut Kandemir
ABSTRACT: A leading cause of reduced or unpredictable application performance in distributed systems is contention at the storage layer, where resources are multiplexed among many concurrent data intensive workloads. We target the shared storage cache, used to alleviate disk I/O bottlenecks, and propose a new caching paradigm to both improve performance and reduce memory requirements for HPC storage systems.
We present the virtual I/O cache, a dynamic scheme to manage a limited storage cache resource. Application behavior and the corresponding performance of a chosen replacement policy are observed at run time, and a mechanism is designed to avoid suboptimal caching. We further use the virtual I/O cache to isolate concurrent workloads and globally manage physical resource allocation towards system level performance objectives.
We evaluate our scheme using twenty I/O intensive applications and benchmarks. Average hit rate gains over 17% were observed for isolated workloads, and 23% for our largest concurrent workload.