节点文献
基于RAMCloud的大文件存储方法的研究与实现
Research and implementation of large file storage based on RAMCloud
【摘要】 内存云(RAMCloud)是一个新型的基于内存的分布式键值存储系统,它通过高速网络,将数据中心的各个服务器的可利用内存整合起来进行统一管理,利用磁盘实现数据的持久化存储。它能够有效地支持在线大规模小数据的存取与访问,但是并不支持大文件的直接存取操作。针对上述问题,提出了一个基于文件分割和合并的解决方案,在此基础之上,设计和实现了一个大文件管理模块,并将此模块集成到RAMCloud中。通过实验对改进后的系统进行了性能测试,实验结果表明,该系统能够有效地支持大文件的存取,且与HDFS相比,读写速度均有着明显的性能优势。在后续工作中,考虑将此系统集成到HDFS中当作分布式缓存管理系统来使用,从而达到提高HDFS性能的目的。
【Abstract】 The RAMCloud is a new kind of distributed key-value storage system that keeps data entirely in DRAM. It aggregates the available memories of thousands of servers by a high-speed network. RAMCloud is a storage system that provides lowlatency access to large-scale datasets of small objects, but it’s not suitable for large files( tens of MBs or above). A solution was proposed to solve this problem based on file splitting and file block merging. A big file management module was designed and implemented, then was integrated into RAMCloud. Experimental result shows that the improved system can support the storage large file efficiently and has a higher read and write performance compared with HDFS. In subsequent work, the system will be integrated into HDFS as a distributed cache management system, so as to improve the performance of HDFS.
【Key words】 large file storage; RAMCloud; distributed storage system; access latency;
- 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2017年S1期
- 【分类号】TP333
- 【被引频次】4
- 【下载频次】58