A novel Burst assembly architecture for QoS provisioning in Optical Burst Switched multicast communications
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 7
Abstract
In TCP over OBS communications, the existing architecture namely “Destination based Burst Aggregation” cannot guarantee the delivery of Real Time traffic as the packets belonging to different priorities are assembled into a single Data Burst. In this paper, a new architecture is proposed at the ingress of the OBS network called “Packet Priority Classifier and Burst Transcription based Burst Aggregation”, in which packets with Real Time Constraints are aggregated into a Data Burst labeled as Delay Sensitive Bursts (DSBs) and the others assembled into Best Effort Bursts (BEBs).
Authors and Affiliations
Terrance Frederick Fernandez , T. Megala
Keywords
Related Articles
- EP ID EP156783
- DOI -
- Views 128
- Downloads 0
Analysis of Primes Less Than a Trillion
An exhaustive analysis of the highly irregularly distributed prime numbers in the range of 1 to 1 trillion is presented in this work. Since we widely use the decimal number system, the distribution trends of the primes i...
A Symmetric FHE Scheme Based on Linear Algebra
FHE is considered to be Holy Grail of cloud computing. Many applications of cloud computing inherently need symmetric keys while very few FHE schemes have been proposed with symmetric keys. Even with the schemes based on...
A Comparative Study of Various Network Simulation Tools
In the area of network research, establishing a network in a real time scenario is very difficult. A single test bed takes a large amount of time and cost. Thus a network simulator tool helps the network developer to che...
Performance Analysis of Optical Wireless Communication Channel Link at Various Bit Rates
Optical wireless communication systems have got more popularity in last few years due to its advantage over conventional radio frequency communication systems. This paper reports the effect of using NRZ and RZ modulation...
Enhancing Efficiency and Accuracy of Imbalanced Datasets Using Fuzzy Neural Network
In Data Mining the class Imbalance classification problem is considered to be one of the emergent challenges. This problem occurs when the number of examples that represents one of the classes of the dataset is much lowe...