spatial event detection and optimization

ISCAS OpenIR

	spatial event detection and optimization
	Hu Jia-Feng; Jin Bei-Hong; Zhuo Wei; Chen Hai-Biao; Zhang Li-Feng
	2011
发表期刊	Ruan Jian Xue Bao/Journal of Software
ISSN	1000-9825
卷号	22 期号:UPPL. 2 页码:147-156
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.; 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
关键词	Middleware Optimization
部门归属	(1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) Graduate University Chinese Academy of Sciences Beijing 100190 China
语种	中文
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16158
专题	中国科学院软件研究所
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.