Channel Scheduling Based on Orchestrator Live Node-Wavelength Reservation for Optical Burst Switching Networks

摘要

Background: Dedicated wavelength utilization and the isolation of control plane fromthe data plane are the important features in the design of Optical Burst Switching (OBS). The contentionin bursts, link congestion and the reservation cause the burst dropping in optical networks.The slotted time and the burst assembly models incorporate the wavelength assignment and thechannel reservation schemes to reduce the dropping probability. The reservation of resources priorto burst arrival and the additional delay due to the burst assembly and the offset time are the majorissues in the reduction of probability. Besides, the traditional one-to-one packet transmission consumesmore time due to a large number of packets handling.Materials and Methods: This paper proposes the novel OBS model that incorporates the threeprocesses such as Open-Flow (OF)-based Orchestrator Live Node (OLN) modeling, fuzzy logicbased ranking and the offset time-based reservation (without/with void filling) to overcome the issuesin the traditional methods. Initially, the OLN modeling based on OF analysis includes theFlow Information Base (FIB) table for the periodical update of the link information. The fuzzy logic-based ranking of channels followed by OF-OLN predicts the status of the wavelength such asfree, used and conversion. Based on the status, the channels are reserved without and with voidfilling to schedule the bursts effectively. The reservation scheme employs the Offset-Time BurstAssembly algorithm to allow the resource reservation prior to burst arrival. Through these processes,the reuse of wavelength and the reallocation of resources are possible in OBS.Results & Conclusion: The controlling of maximum burst transfer delay by the OTBA efficientlyreduces the end-to-end delay for data traffic. The comparative analysis between the proposedOLN-WR with the existing Hybrid Burst Assembly (HBA), Fuzzy-based Adaptive Threshold(FAT) and Fuzzy-based Adaptive Hybrid Burst Assembly (FAHBA) in terms of end-to-end delayand transmitted amount of bursts assures the applicability of OLN-WR in scheduling and communicationactivities in OBS networks.