中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
spatial event detection and optimization

文献类型:期刊论文

作者Hu Jia-Feng ; Jin Bei-Hong ; Zhuo Wei ; Chen Hai-Biao ; Zhang Li-Feng
刊名Ruan Jian Xue Bao/Journal of Software
出版日期2011
卷号22期号:UPPL. 2页码:147-156
关键词Middleware Optimization
ISSN号1000-9825
中文摘要Currently, various location-based applications, such as dynamic location alarm services and location-based shopping promotion services, etc. emerge with bright prospects. Among these applications, the kernel technique is spatial event detection. The paper adopts Pub/Sub middleware to detect spatial events, presenting the basic detecting method. Moreover, the paper presents the optimization strategy of detecting the events which are matched with unary location subscriptions. Specifically, the paper explores the relations between the regions covered by events and builds the multilevel indexes to improve the processing of spatial events. On the other hand, it utilizes the computational capacities of client computers and calculates and maintains the safe regions on the clients. Through this system, the events can be filtered on the clients, and the workloads on the server can be reduced. The paper has also conducted the simulation experiments on the system which implements the proposed speed-up strategies to evaluate its performance and costs. The experimental data show the speed-up strategies can efficiently accelerate the processing of spatial event detection. ©2011 Journal of Software.
英文摘要Currently, various location-based applications, such as dynamic location alarm services and location-based shopping promotion services, etc. emerge with bright prospects. Among these applications, the kernel technique is spatial event detection. The paper adopts Pub/Sub middleware to detect spatial events, presenting the basic detecting method. Moreover, the paper presents the optimization strategy of detecting the events which are matched with unary location subscriptions. Specifically, the paper explores the relations between the regions covered by events and builds the multilevel indexes to improve the processing of spatial events. On the other hand, it utilizes the computational capacities of client computers and calculates and maintains the safe regions on the clients. Through this system, the events can be filtered on the clients, and the workloads on the server can be reduced. The paper has also conducted the simulation experiments on the system which implements the proposed speed-up strategies to evaluate its performance and costs. The experimental data show the speed-up strategies can efficiently accelerate the processing of spatial event detection. ©2011 Journal of Software.
收录类别EI
语种中文
公开日期2013-10-08
源URL[http://ir.iscas.ac.cn/handle/311060/16158]  
专题软件研究所_软件所图书馆_期刊论文
推荐引用方式
GB/T 7714
Hu Jia-Feng,Jin Bei-Hong,Zhuo Wei,et al. spatial event detection and optimization[J]. Ruan Jian Xue Bao/Journal of Software,2011,22(UPPL. 2):147-156.
APA Hu Jia-Feng,Jin Bei-Hong,Zhuo Wei,Chen Hai-Biao,&Zhang Li-Feng.(2011).spatial event detection and optimization.Ruan Jian Xue Bao/Journal of Software,22(UPPL. 2),147-156.
MLA Hu Jia-Feng,et al."spatial event detection and optimization".Ruan Jian Xue Bao/Journal of Software 22.UPPL. 2(2011):147-156.

入库方式: OAI收割

来源:软件研究所

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