rrps: a ranked real-time publish/subscribe using adaptive qos

	rrps: a ranked real-time publish/subscribe using adaptive qos
	Lu Xinjie; Li Xin; Yang Tian; Liao Zaifei; Liu Wei; Wang Hongan
	2009
会议名称	International Conference on Computational Science and Its Applications (ICCSA 2009)
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议日期	JUN 29-JUL
会议地点	Seoul, SOUTH KOREA
出版地	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者	COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2009, PT II
ISSN	0302-9743
ISBN	978-3-642-02456-6
部门归属	Lu, Xinjie; Yang, Tian; Liao, Zaifei; Liu, Wei; Wang, Hongan Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China.
摘要	Publish-Subscribe paradigm has been widely employed in Real-Time applications. However, the existing technologies and models only support a, simple binary concept of snatching: an event either matches a subscription or it does not; for instance, a production monitoring event will either snatch or not match a subscription for production anomaly. Based on adaptive Quality of Service (QoS) management, we propose a novel publish/subscribe model; which is implemented as a critical service in a real-time database Agilor. We argue that publications have different relevance to a subscription. On the premise of guaranteeing deadline d, a subscriber approximately receives k most relevant publications, where k and d are parameters defined by each subscription. After the architecture of our model is described, we present negotiations between components and scalable strategies for adaptive QoS management. Then, we propose an efficient algorithm to select different; strategies adaptively depending on estimation of current QoS. Furthermore, we experimentally evaluate our model on real production data collected from manufacture industry to demonstrate its applicability in practice.
关键词	Algorithms Manufacture Publishing Quality Of Service
主办者	Univ Perugia, Monash Univ, Univ Calgary, La Trobe Univ, Soongsil Univ, Kyung Hee Univ
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8352
专题	人机交互技术与智能信息处理实验室
推荐引用方式 GB/T 7714	Lu Xinjie,Li Xin,Yang Tian,et al. rrps: a ranked real-time publish/subscribe using adaptive qos[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2009, PT II,2009.