Paper Info
Title
A Distributed Real-Time Storage Method for Stream Data
Abstract
With the development of Internet of Things, the timely and fast storage of various types of stream data is becoming the urgent problem to the Internet of Things applications. Facing the arriving stream data continuously, data stream storage system must store the results persistently in a timely way. After analyzing the characteristic of stream data of the transport monitoring system, we propose a new method DRS (Distributed Real-time Storage), which is based on cache and consistent hashing. According to the threshold, DRS receives data from cache continuously and stores data distributively into the data server. Experiments show that DRS can store data to the data server in real time.
Year
DOI
Venue
2013
10.1109/WISA.2013.65
IEEE WISA
Keywords
Field
DocType
real-time storage method,drs,threshold,fast storage,things application,transport monitoring system,consistent hashing,real-time storage,cache storage,traffic engineering computing,stream data,cache,distributed real-time storage method,stores data distributively,data stream storage system,real time,data server,new method,internet of things
Data stream mining,Converged storage,Data stream,Computer science,Computer data storage,Cache,Real-time computing,Information repository,Database server,Consistent hashing
Conference
ISBN
Citations 
PageRank 
978-1-4799-3218-4
1
0.36
References 
Authors
0
3
Name
Order
Citations
PageRank
Yanhua Sun110.36
Jun Fang2193.26
Yanbo Han350059.74