SIMULASI DAN PENGUKURAN PERFORMANSI END TO END CONGESTION CONTROL PADA JARINGAN BACKBONE MULTICAST BERBASIS PIM-DM (Protocol Independent Multicast - Dense Multicast ) DENGAN MENGGUNAKAN ALGORITMA DROPTAIL, DRR (Deficit Round Robin) DAN RED (Random Early Detection)
| Main Author: | Ardiansyah, Rizka |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
, 2011
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/16405/ |
Daftar Isi:
- UDP(Universal Datagram Protocol) is a protocol data transmission on the Internet that allows data to be sent in realtime and become a background of the birth of various services such as IPTV, VOIP (Voice Over Internet Protocol ), VOD (Video On Demand), and video conferencing. Multicast network is the solution to provide better service to the many needs of the public with the concept of a simple and efficient. Dense traffic situation triggered the packet loss and delay that can not be tolerated some services, especially multimedia streaming service, while UDP does not guarantee the QOS (Quality Of Service), so that the necessary traffic management method that serves as a traffic controller to the congestion in the network. This study analyzes the technology-based Active Queue Management (AQM) algorithm, congestion control in a backbone network based multicast using PIM-DM Droptail algorithm, DRR, and RED, which is simulated using NS2. The simulation results show that the congestion control algorithm, DRR provides the best performance with the mean delay, mean throughput, and the mean loss of balance, RED is a congestion control algorithm which has a queue management mechanism is best but not able to suppress the mean loss in each scenario tested because RED has a small amount of buffer size, Droptail not an appropriate algorithm for multicast networks implemented in the absence of an interrupt mechanism so that data services will have a tendency towards a particular data packet.