DASH:虚拟化环境中的一种可识别重复的闪存缓存架构

Xian Chen, Wenzhi Chen, Shuiqiao Yang, Zhongyong Lu, Zonghui Wang
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引用次数: 1

摘要

随着多核、多线程技术的飞速发展,CPU与存储系统的性能差距逐年拉大,使得存储系统成为整个系统性能的瓶颈。为了缓解这种情况,闪存被用作hdd的缓存设备。另一方面,云计算在工业领域越来越普及和成熟。作为它的关键构建块,虚拟化技术允许多个虚拟机(vm)同时运行在单个物理机上,其中大多数通常运行相同或类似的操作系统和应用程序。在这种情况下,flash缓存将被许多重复的数据块占用。然而,现有的闪存缓存架构和替换策略并没有考虑到这一点,这极大地限制了闪存缓存的有效利用。在本文中,我们提出了一种新的重复感知闪存缓存架构(DASH)。在这种体系结构中,闪存缓存被组织为只缓存重复数据块的一个副本,这可以显着扩展有效缓存容量,使更多的I/O请求命中缓存。此外,这种架构可以减少写入闪存缓存的数据量,从而可以显着延长闪存设备的寿命。基于实际应用的实验表明,在某些情况下,我们的缓存架构可以将缓存命中率提高5倍,平均I/O延迟降低63%,消除闪存缓存写81%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DASH: A duplication-aware flash cache architecture in virtualization environment
With the rapid development of multi-core and multi-threading technologies, the performance gap between CPU and storage system is widening year by year, causing the storage system to be the bottleneck of the whole system performance. To alleviate this situation, flash memory has been used as the caching device of HDDs. On the other hand, cloud computing is becoming more and more popular and mature in industry field. As the key building block of it, virtualization technology allows several virtual machines (VMs) running on one single physical machine simultaneously, most of which usually run the same or similar operating systems and applications. In this scenario, flash cache will be occupied by many duplicate data blocks. However, existing flash cache architectures and replacement policies don't take this observation into consideration, which greatly limits the efficient use of the flash cache. In this paper, we propose a new duplication-aware flash cache architecture (DASH). In this architecture, flash cache is organized to cache only one copy of the duplicate data blocks, which can notably expand the effective cache capacity, making more I/O requests hit in the cache. Moreover, this architecture can reduce the amount of data written to flash cache, and thus the life span of flash device can be significantly prolonged. Experiments based on realistic applications show that, in some situations, our cache architecture can improve the cache hit ratio by 5 times, reduce the average I/O latency by 63% and eliminate flash cache writes by 81%.
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