A new big data storage architecture with intrinsic search engines

作者：Luo, Jianjun; Fan, Lingyan^*; Li, Zhenhua; Tsu, Chris

来源：Neurocomputing, 2016, 181: 147-152.

DOI：10.1016/j.neucom.2015.06.103

• Big data
• Data storage
• SSD
• iSearch

The data storage system is central in determining the performance and cost in data mining or ITS. As the computing power of servers has increased so have the problems caused by the bottlenecks from slower storage protocol interfaces, which restrict data throughput and the accessing raw data from the physical storage systems. This paper presented new big data storage architecture to optimize the efficiency of data mining or mass surveillance by integrating a distributed and embedded searching engine inside each storage drive. By integrating the intrinsic search engine (iSearch) into the core controller chip some of the work of searching for patterns and keywords takes place inside the drive freeing up resources of a higher level host and ultimately the server. Only those drives, in which the expected pattern or keywords were detected, are analyzed by the higher level host. Not only does iSearch free up the server for other high level computing tasks it also helps preserve as the bandwidth of the big data storage interface.

• 出版日期2016-3-12
• 单位杭州电子科技大学