CAJ | 학술논문

涌现于社交网络、电子商务中的超大规模非结构化数据标志着大数据时代的到来。大数据的多样性、超大规模和可扩展性等特征对运行平台产生新的要求。随着大数据的产生和发展，形成了具有代表性的信息体系结构，包括编程模型、虚拟化和分布式文件系统等。随着对大数据研究的深入，通过对大数据负载特性的分析，发现制约大数据的并不是计算能力，而是 I/O 延迟，采用基于内存的分布式文件系统，用于存储和处理大规模分布式文件系统查询的索引，可以有效降低 I/O 延迟，提高应用性能。
용현우사교망락、전자상무중적초대규모비결구화수거표지착대수거시대적도래。대수거적다양성、초대규모화가확전성등특정대운행평태산생신적요구。수착대수거적산생화발전，형성료구유대표성적신식체계결구，포괄편정모형、허의화화분포식문건계통등。수착대대수거연구적심입，통과대대수거부재특성적분석，발현제약대수거적병불시계산능력，이시 I/O 연지，채용기우내존적분포식문건계통，용우존저화처리대규모분포식문건계통사순적색인，가이유효강저 I/O 연지，제고응용성능。
As the advent of social network and e-commerce , the amount of unstructured data grows rapidly . The 4Vs of big data ( Volume , Velocity , Variety and Veracity ) motivate the architecture design of new computing system , including programming model , virtualisation technology and distributed file system . According to the analysis on the big data workloads , I/O latency is one of the dominate performance bottleneck . Techniques that create and store index with memory-based distributed file system are pro-posed , which are able to significantly reduce I/O latency and thus improve system performance .