海量存储系统元数据管理的分析-计算机系统结构专业论文.docxVIP

华中科技大学博士学位论文 华 中 科 技 大 学 博 士 学 位 论 文 IV IV The traditional file hash metadata distribution algorithm has some technical flaws in size scalability and performance scalability in mass storage system. For example, expanding system will generate lots of additional metadata requests and data migrations which will reduce the performance of storage system. HDH algorithm employs DSU index management server (DIMS) to improve flexibility of metadata management. This will reduce operation complication, diminish the additional load and increase operational efficiency. In several kinds of typical operations which may bring scalability bottleneck, such as changing directory name, deleting directory, modifying directory access permission and adding a MDS node, etc, HDH algorithm has a much better behavior in system scalability than traditional metadata distribution algorithm based on file hash. After discussing the characteristics and performance of metadata operations for load balancing problem in distributed storage system, the paper introduces a formula to evaluate the load status of storage node, and proposes a hierarchical dynamic load balancing strategy (HDLBS) to adjust load distribution among the nodes in MDS cluster. HDLBS sets a load balance management server in MDS cluster, which adjusts load distribution of MDS nodes according to load status collected from DIMS and keeps the whole system in the dynamic and continuous load balancing state. Thus improves the whole performance of storage system. Keywords: Mass storage system, Metadata management, Metadata distribution algorithm, Scalability, Data migration, Load balancing 独创性声明 本人声明所呈交的学位论文是我个人在导师指导下进行的研究工作及取得的研 究成果。尽我所知，除文中已经标明引用的内容外，本论文不包含任何其他个人或 集体已经发表或撰写过的研究成果。对本文的研究做出贡献的个人和集体，均已在 文中以明确方式标明。本人完全意识到，本声明的法律结果由本人承担。 学位论文作者签名： 日期： 年 月 日 学位论文版权使用授权书 本学位论文作者完全了解学校有关保留、使用学位论文的规定，即：学校有权 保留并向国家有关部门或机构送交论文的复印件和电子版，允许论文被查阅和借阅。 本人授权华中科技大学可以将本学位论文的全部或部分内容编入有关数据库进行检 索，可以采用影印、缩印或扫描等复制手段保存和汇编本学位论文。 本论文属于 保 密□，在 年解密后适用本授权书。 不必威体育官网网址□。 （请