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| spatial event detection and optimization | |
| Hu Jia-Feng; Jin Bei-Hong; Zhuo Wei; Chen Hai-Biao; Zhang Li-Feng | |
| 2011 | |
| Source | Ruan Jian Xue Bao/Journal of Software
 |
| ISSN | 1000-9825 |
| Volume | 22Issue:UPPL. 2Pages:147-156 |
| English Abstract | 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. |
| Indexed Type | EI |
| Keyword | Middleware Optimization |
| Department | (1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) Graduate University Chinese Academy of Sciences Beijing 100190 China |
| Language | 中文 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16158 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
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