On performance improvement issues in unordered Tuple Space based Mobile Middleware

Suddhasil De, Sukumar Nandi, D. Goswami
{"title":"On performance improvement issues in unordered Tuple Space based Mobile Middleware","authors":"Suddhasil De, Sukumar Nandi, D. Goswami","doi":"10.1109/INDCON.2010.5712740","DOIUrl":null,"url":null,"abstract":"Tuple Space based Mobile Middleware (TSMM), a new genre of mobile middleware, is developed to tackle emerging dynamics in underlying infrastructure. It uses tuple space model to coordinate interactions between different active components (agents) of supported applications. This paper focusses on a primary design issue of tuple space model, viz. tuple-antituple structure, which specifies arities and nature of arrangements of constituent fields of tuples and antituples. This factor not only affects application design, but also impacts simplicity, flexibility, scalability and performance of TSMM. Broadly, two types of arrangements are possible: ordered (where arity and arrangement of fields are predefined), and unordered (where none of them are predefined). Ordered structure lacks flexibility and restricts the design of TSMM and its applications. Unordered structure removes these drawbacks, but degrades TSMM's performance and scalability, as additional creation and lookup overheads are introduced here. Among the existing TSMM, LIMONE incorporates unordered tuple-antituple structure. In this paper, we modify LIMONE's tuple-antituple structure for improving its performance and scalability. Both original and modified models are analyzed and experimented to show the improvements.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Annual IEEE India Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDCON.2010.5712740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Tuple Space based Mobile Middleware (TSMM), a new genre of mobile middleware, is developed to tackle emerging dynamics in underlying infrastructure. It uses tuple space model to coordinate interactions between different active components (agents) of supported applications. This paper focusses on a primary design issue of tuple space model, viz. tuple-antituple structure, which specifies arities and nature of arrangements of constituent fields of tuples and antituples. This factor not only affects application design, but also impacts simplicity, flexibility, scalability and performance of TSMM. Broadly, two types of arrangements are possible: ordered (where arity and arrangement of fields are predefined), and unordered (where none of them are predefined). Ordered structure lacks flexibility and restricts the design of TSMM and its applications. Unordered structure removes these drawbacks, but degrades TSMM's performance and scalability, as additional creation and lookup overheads are introduced here. Among the existing TSMM, LIMONE incorporates unordered tuple-antituple structure. In this paper, we modify LIMONE's tuple-antituple structure for improving its performance and scalability. Both original and modified models are analyzed and experimented to show the improvements.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于无序元组空间的移动中间件性能改进问题研究
基于元组空间的移动中间件(Tuple Space based Mobile Middleware, TSMM)是一种新型的移动中间件,主要用于解决底层基础设施中出现的动态问题。它使用元组空间模型来协调支持的应用程序的不同活动组件(代理)之间的交互。本文主要讨论元组空间模型的一个主要设计问题,即元-反元组结构,它规定了元组和反元组的组成域的排列性和性质。这个因素不仅会影响应用程序的设计,还会影响TSMM的简单性、灵活性、可伸缩性和性能。从广义上讲,有两种类型的排列是可能的:有序(字段的数量和排列是预定义的)和无序(它们都不是预定义的)。有序结构缺乏灵活性,制约了TSMM的设计和应用。无序结构消除了这些缺点,但是降低了TSMM的性能和可伸缩性,因为这里引入了额外的创建和查找开销。在现有的TSMM中,LIMONE采用了无序元-反元结构。在本文中,我们修改了LIMONE的元-反元组结构,以提高其性能和可扩展性。对原模型和改进后的模型进行了分析和实验,证明了改进后的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An efficient technique for protein classification using feature extraction by artificial neural networks Coordinated design of excitation and TCSC-based stabilizers for multimachine power system Estimation of the resonant frequency and magnetic polarizability of an edge coupled circular split ring resonator with rotated outer ring Realization of ultra wideband bandpass filter using new type of split-ring Defected Ground Structure Double-Pole Four-Throw RF CMOS switch design with double-gate transistors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1