电脑知识与技术
電腦知識與技術
전뇌지식여기술
Computer Knowledge and Technology
2015年
19期
5-6,10
,共3页
流数据%实时存储%阈值%一致性哈希
流數據%實時存儲%閾值%一緻性哈希
류수거%실시존저%역치%일치성합희
streaming data%real-time storage%threshold%consistent hashing
随着物联网建设的不断发展,以实时传感数据为基础的各类流数据如何及时快速存储已成为当前急需解决的问题.面对连续不断到达的数据流,数据流存储系统必须及时快速将其存储到持久化介质中.针对这一需求,本文提出了一种基于缓存的分布式实时存储方法DRS.DRS方法依据窗口阈值,不间断地从缓存区接收数据,并结合一致性哈希算法将数据分布存储到数据服务器中.实验表明,该分布式存储方法能够实时地将数据存储到持久化介质中.
隨著物聯網建設的不斷髮展,以實時傳感數據為基礎的各類流數據如何及時快速存儲已成為噹前急需解決的問題.麵對連續不斷到達的數據流,數據流存儲繫統必鬚及時快速將其存儲到持久化介質中.針對這一需求,本文提齣瞭一種基于緩存的分佈式實時存儲方法DRS.DRS方法依據窗口閾值,不間斷地從緩存區接收數據,併結閤一緻性哈希算法將數據分佈存儲到數據服務器中.實驗錶明,該分佈式存儲方法能夠實時地將數據存儲到持久化介質中.
수착물련망건설적불단발전,이실시전감수거위기출적각류류수거여하급시쾌속존저이성위당전급수해결적문제.면대련속불단도체적수거류,수거류존저계통필수급시쾌속장기존저도지구화개질중.침대저일수구,본문제출료일충기우완존적분포식실시존저방법DRS.DRS방법의거창구역치,불간단지종완존구접수수거,병결합일치성합희산법장수거분포존저도수거복무기중.실험표명,해분포식존저방법능구실시지장수거존저도지구화개질중.
With the development of Internet of Things,the timely and fast storage of various types of streaming data based on real-time sensor data is becoming the urgent problem to the Internet of Things applications. Facing the arriving data stream continuous?ly, data stream storage system must store the results persistently in a timely way. In order to resolve the problem, we propose a new method, DRS(Distributed Real-Time Storage),which is based on cache. According to the threshold of the window ,DRS receive data from cache continuously and store data distributively in the data server with using the consistent hashing algorithm. Experiments show that DRTS can make the data store to the server in real time.