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题名:
rrps: a ranked real-time publish/subscribe using adaptive qos
作者: Lu Xinjie ; Li Xin ; Yang Tian ; Liao Zaifei ; Liu Wei ; Wang Hongan
会议文集: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议名称: International Conference on Computational Science and Its Applications (ICCSA 2009)
会议日期: JUN 29-JUL
出版日期: 2009
会议地点: Seoul, SOUTH KOREA
关键词: Algorithms ; Manufacture ; Publishing ; Quality of service
出版者: COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2009, PT II
出版地: HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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.
主办者: Univ Perugia, Monash Univ, Univ Calgary, La Trobe Univ, Soongsil Univ, Kyung Hee Univ
英文摘要: 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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8352
Appears in Collections:人机交互技术与智能信息处理实验室_会议论文

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Recommended Citation:
Lu Xinjie,Li Xin,Yang Tian,et al. rrps: a ranked real-time publish/subscribe using adaptive qos[C]. 见:International Conference on Computational Science and Its Applications (ICCSA 2009). Seoul, SOUTH KOREA. JUN 29-JUL.
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