The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Thematic-Based Group Communication
|
Author(s): Raymond Pardede (Budapest University of Technology and Economics, Hungary), Gábor Hosszú (Budapest University of Technology and Economics, Hungary)and Ferenc Kovács (Budapest University of Technology and Economics, Hungary)
Copyright: 2008
Pages: 7
Source title:
Encyclopedia of Networked and Virtual Organizations
Source Author(s)/Editor(s): Goran D. Putnik (University of Minho, Portugal)and Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal)
DOI: 10.4018/978-1-59904-885-7.ch216
Purchase
|
Abstract
In the network level computer group-communication (one-to-many) technology, IP-multicast contributes significant roles in enhancing the physical network scalability by replicating identical packets at routers. However, since its initial proposal the IP-multicast has not been widely enabled due to the slow pace of its deployment. Hence, the application-level multicast (ALM) concept emerged to solve this deployment issue by shifting the multicast support from routers to end-systems. The article reviews the most important facts of the Application-Level Multicast and its proposed models. Furthermore, the article describes a novel concept of modeling relative density of members called bunched mode and a proposed host-end multicast transport protocol called shortest tunnel first (STF). The bunched mode is based on the thematic multicast concept (TMC), which means that it is a typical multicast scenario where there are a lot of interested hosts in certain institutes and these institutes are relatively far from each other. The developed analysis tool NetSim and the implementation of the TMC called PardedeCAST are also presented as the tools of this research.
Related Content
Kumar Shalender, Babita Singla.
© 2024.
11 pages.
|
R. Akash, V. Suganya.
© 2024.
32 pages.
|
Prathmesh Singh, Arnav Upadhyaya, Nripendra Singh.
© 2024.
14 pages.
|
Arpan Anand, Priya Jindal.
© 2024.
13 pages.
|
Surjit Singha, K. P. Jaheer Mukthar.
© 2024.
26 pages.
|
M. Vaishali, V. Kiruthiga.
© 2024.
14 pages.
|
Ranjit Singha, Surjit Singha.
© 2024.
21 pages.
|
|
|