MAM2: A novel mixed adaptive messaging middleware

Gang Yang; Xingshe Zhou; Xiaojun Wu

MAM²: A novel mixed adaptive messaging middleware

Gang Yang
, Xingshe Zhou
, Xiaojun Wu

School of Computer Science

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Messaging has been widely used in large scale distributed application of bank, finance, local data center, and even military applpications. Current messaging service is either Subscribe-Publish (SP) or Point-to-Point (PTP) mode. But neither modes can satisfy the requirements of these applications. This paper introduces a Mixed Adaptive Message Middleware (MAM²) which includes advantages of both modes. MAM² provides flexible, adaptive, high efficiency, and routing based on content messaging service for users. MAM²'s prototype has been implemented and it is in testing stage.

Original language	English
Title of host publication	International Conference on Machine Learning and Cybernetics
Pages	1910-1914
Number of pages	5
State	Published - 2003
Event	2003 International Conference on Machine Learning and Cybernetics - Xi'an, China Duration: 2 Nov 2003 → 5 Nov 2003

Publication series

Name	International Conference on Machine Learning and Cybernetics
Volume	3

Conference

Conference	2003 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Xi'an
Period	2/11/03 → 5/11/03

Keywords

Adaptive
Content-aware
Route messaging service
XML

Cite this

@inproceedings{96906a3b97cc498aa5918641e330f557,

title = "MAM2: A novel mixed adaptive messaging middleware",

abstract = "Messaging has been widely used in large scale distributed application of bank, finance, local data center, and even military applpications. Current messaging service is either Subscribe-Publish (SP) or Point-to-Point (PTP) mode. But neither modes can satisfy the requirements of these applications. This paper introduces a Mixed Adaptive Message Middleware (MAM2) which includes advantages of both modes. MAM2 provides flexible, adaptive, high efficiency, and routing based on content messaging service for users. MAM2's prototype has been implemented and it is in testing stage.",

keywords = "Adaptive, Content-aware, Route messaging service, XML",

author = "Gang Yang and Xingshe Zhou and Xiaojun Wu",

year = "2003",

language = "英语",

isbn = "0780378652",

series = "International Conference on Machine Learning and Cybernetics",

pages = "1910--1914",

booktitle = "International Conference on Machine Learning and Cybernetics",

note = "2003 International Conference on Machine Learning and Cybernetics ; Conference date: 02-11-2003 Through 05-11-2003",

}

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T2 - 2003 International Conference on Machine Learning and Cybernetics

AU - Yang, Gang

AU - Zhou, Xingshe

AU - Wu, Xiaojun

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N2 - Messaging has been widely used in large scale distributed application of bank, finance, local data center, and even military applpications. Current messaging service is either Subscribe-Publish (SP) or Point-to-Point (PTP) mode. But neither modes can satisfy the requirements of these applications. This paper introduces a Mixed Adaptive Message Middleware (MAM2) which includes advantages of both modes. MAM2 provides flexible, adaptive, high efficiency, and routing based on content messaging service for users. MAM2's prototype has been implemented and it is in testing stage.

AB - Messaging has been widely used in large scale distributed application of bank, finance, local data center, and even military applpications. Current messaging service is either Subscribe-Publish (SP) or Point-to-Point (PTP) mode. But neither modes can satisfy the requirements of these applications. This paper introduces a Mixed Adaptive Message Middleware (MAM2) which includes advantages of both modes. MAM2 provides flexible, adaptive, high efficiency, and routing based on content messaging service for users. MAM2's prototype has been implemented and it is in testing stage.

KW - Adaptive

KW - Content-aware

KW - Route messaging service

KW - XML

UR - https://www.scopus.com/pages/publications/1542375776

M3 - 会议稿件

AN - SCOPUS:1542375776

SN - 0780378652

T3 - International Conference on Machine Learning and Cybernetics

SP - 1910

EP - 1914

BT - International Conference on Machine Learning and Cybernetics

Y2 - 2 November 2003 through 5 November 2003

ER -