TY  - JOUR
T1  - Adaptive Burst Assembly Algorithm for Reducing Burst Loss and Delay in OBS Networks
AU - Lakshmanan, Bharathi AU - Ramasamy, Sasikala AU - Alavandar, Srinivasan 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 13
SP  - 2123
EP  - 2132
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.2123.2132
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.2123.2132
KW  - Adaptive burst assembly algorithm
KW  -fuzzy based adaptive hybrid burst assembly
KW  -blocking probability
KW  -average packet delivery ratio
KW  -time
AB  - In Optical Burst Switching (OBS), during burst assembly approaches, the burst offset time, Burst Loss Rate (BLR) and dropping probability of bursts are not taken into account which may cause contention issue. In order to overcome these issues, in this study, we propose to design an Adaptive Burst Assembly Algorithm for Reducing Burst Loss and Delay in OBS networks. In this technique, the traffic for next interval is predicted using linear prediction filters. This predicted traffic along with the timer and burst length is then considered as input for fuzzy logic and the new burst length and output values are generated as output. At core routers, the contention is measured based on the BLR and link utilization and then sent as a feedback to the ingress. Based on the measured contention, the new offset time, burst length and timer are determined and used for the next frame. By simulation results, we show that the proposed approach resolves the contention and it reduces the burst delay.
ER  -