A new switch-node architecture for data traffic for integrated services in a Local Area Network (LAN) is proposed. Specifically it has been designed to provide service to the following two broad types of traffic:1. Connectionless service for Interactive Data (ID) traffic.2. Connection-oriented service for Non-Interactive Data (NID) traffic.The topology of the switch-node is a bus. The key feature of the proposed scheme is the centralization , which has been exploited to provide the requisite flexibility for handling every class of traffic. The shared transmission medium is a short high speed bus which enjoys a fundamental advantage relative to distributed approaches in that the propagation delay along the length of the bus is smaller than the transmission time of a single bit. This feature can be exploited to provide simplicity and efficiency in accessing the transmission medium. The performance of the proposed media-access scheme and the centralized scheduling policy for interactive and non-interactive data traffics have been analyzed through simulation. The simulation study shows the actual efficiency of the switch-node, and proves that the proposed concurrent dual buses switch-node architecture with its centralized scheduling policy is a strong candidate to form the core of an efficient ISDN.
End of preview. The entire article is 27 pages. To view the full-text, please rent this article to continue.
/lp/association-for-computing-machinery/data-traffic-in-a-new-centralized-switch-node-architecture-for-lan-qHcdTtg6tY
Welcome to DeepDyve! Rent Premier Research Articles and Save Up to 90%
Data traffic in a new centralized switch node architecture for LAN
Khalil, Ehab A.; Khalid, M.; Kekre, H. B.
Follow ACM SIGCOMM Computer Communication Review
, Volume 24 (1)
Association for Computing Machinery – Jan 1, 1994
More Info
More Like This Article
View All dataSource[]=actageo&dataSource[]=aspet&dataSource[]=aaos&dataSource[]=aacc&dataSource[]=aacr&dataSource[]=aea&dataSource[]=aip&dataSource[]=ajnr&dataSource[]=ams&dataSource[]=aps_physical&dataSource[]=appi_book&dataSource[]=appi_journal&dataSource[]=apha&dataSource[]=asip&dataSource[]=asm&dataSource[]=asn&dataSource[]=aspb&dataSource[]=avs&dataSource[]=annual_reviews&dataSource[]=arxiv&dataSource[]=acm&dataSource[]=berghahn&dataSource[]=cabi&dataSource[]=clinical_trials&dataSource[]=dailymed&dataSource[]=degruyter&dataSource[]=du_press&dataSource[]=esa&dataSource[]=eu_press&dataSource[]=elsevier&dataSource[]=emerald&dataSource[]=ejtr&dataSource[]=emea&dataSource[]=epo&dataSource[]=faseb&dataSource[]=gsa&dataSource[]=health_affairs&dataSource[]=hindawi&dataSource[]=imanager&dataSource[]=imedpub&dataSource[]=informa_healthcare&dataSource[]=informs&dataSource[]=iop&dataSource[]=iucr&dataSource[]=iospress&dataSource[]=jbjs&dataSource[]=leftcoast&dataSource[]=lu_press&dataSource[]=mesharpe&dataSource[]=mary_ann_liebert&dataSource[]=medline&dataSource[]=mit_press&dataSource[]=nature&dataSource[]=oxford&dataSource[]=pier_professional&dataSource[]=pnas&dataSource[]=portlandpress&dataSource[]=psyc_articles&dataSource[]=psyc_books&dataSource[]=psyc_critiques&dataSource[]=plos_journal&dataSource[]=pubmed_central&dataSource[]=rsna&dataSource[]=rockefeller&dataSource[]=rcn&dataSource[]=ria&dataSource[]=rsc&dataSource[]=sage&dataSource[]=spie&dataSource[]=springer_journal&dataSource[]=springer&dataSource[]=taylor_francis&dataSource[]=aps&dataSource[]=the_scientist&dataSource[]=uc_press&dataSource[]=uspto_abstract&dataSource[]=wiley&dataSource[]=pct
© 2012 DeepDyve, Inc. All rights reserved.
Terms of Service | Privacy Policy
