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| 1 | 基于Redis的海量互联网小文件实时存储与索引策略研究显示文摘随着信息技术的迅猛发展,互联网数据迸发、海量互联网小文件的实时存储与处理成为越来越多互联网应用所面临的难题.相对于大文件而言,海量小文件的实时存取会给文件系统带来巨大的压力,传统的文件系统很难快速地存取海量小文件,这严重影响到互联网应用的实时性.内存数据库技术凭借其在数据处理速度上的优势,为海量互联网小文件的实时存储与处理提供了新的方法.基于Redis内存数据库进行面向海量小文件的实时存储与索引策略研究,一方面基于Redis键值数据库的特点,提出了互联网文件到Redis数据库的缩写映射优化算法;另一方面,面对不断涌入的海量互联网数据,提出了基于查询关键字的轻量级索引策略,在大数据量下的实验数据表明此索引策略的索引规模更小,维护代价更低,基于关键字的查询响应时间更短. | 刘俊龙 刘光明 张黛 喻杰 | 2015 | 计算机研究与发展2015，52，S2： | 13 |
| 2 | R-Memcached: A Reliable In-Memory Cache for Big Key-Value Stores显示文摘Large-scale key-value stores are widely used in many Web-based systems to store huge amount of data as(key, value) pairs. In order to reduce the latency of accessing such(key, value) pairs, an in-memory cache system is usually deployed between the front-end Web system and the back-end database system. In practice, a cache system may consist of a number of server nodes, and fault tolerance is a critical feature to maintain the latency Service-Level Agreements(SLAs). In this paper, we present the design, implementation, analysis, and evaluation of R-Memcached, a reliable in-memory key-value cache system that is built on top of the popular Memcached software. R-Memcached exploits coding techniques to achieve reliability, and can tolerate up to two node failures.Our experimental results show that R-Memcached can maintain very good latency and throughput performance even during the period of node failures. | Chengjian Liu Kai Ouyang Xiaowen Chu Hai Liu Yiu-Wing Leung | 2015 | Tsinghua Science and Technology2015，20，6： | 0 |
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