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首页> 外文会议>2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, 2015 IEEE 12th International Conference on Embedded Software and Systems >A Head Record Cache Structure to Improve the Operations on Big Files in Cloud Storage Servers
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A Head Record Cache Structure to Improve the Operations on Big Files in Cloud Storage Servers

机译：头记录缓存结构，可改善云存储服务器中大文件的操作

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摘要

Cache and prefetching is now widely used in storage systems for disks to speed up accessing data. Although cache and prefetching are well accepted technologies in storage field, they are unsuitable for cloud storage systems because most of requests in cloud is for large files, which leads to undesirable hit rate and speed performance. To solve this issue, an improved head record cache (HRC) structure model is proposed in this paper based on reshuffling disk cache structure and prefetching technologies, aiming at improving reading performance in a cloud environment. Compared to previous researches, this model has better read performance in a cloud environment, since HRC increases hit rate. The experimental results demonstrate that the system has 18% better reading performance than traditional cloud storage system.
机译：缓存和预取现在广泛用于磁盘的存储系统中，以加快数据访问速度。尽管缓存和预取是存储领域公认的技术，但它们不适合云存储系统，因为云中的大多数请求都针对大文件，这会导致不良的命中率和速度性能。为了解决这个问题，本文提出了一种基于改组磁盘缓存结构和预取技术的改进的头记录缓存（HRC）结构模型，旨在提高云环境下的读取性能。与以前的研究相比，该模型在云环境中具有更好的读取性能，因为HRC可以提高命中率。实验结果表明，该系统的读取性能比传统云存储系统高18％。

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