A5035872247- Optical Network Technologies
- Advanced Optical Network Technologies
- Software-Defined Networks and 5G
- Software System Performance and Reliability
- Interconnection Networks and Systems
- Cloud Computing and Resource Management
- Advanced Photonic Communication Systems
Punjabi University
2021-2025
Chandigarh University
2025
ABSTRACT Dynamic burst size selection is a challenging process in the optical switching (OBS) networks for efficient assembly. In this manuscript, dynamic burst‐size assembly approach proposed to standardize data OBS networks. The utilizes hysteresis properties decider module (BSDM) decide size. inculcation of algorithm (DBAA) focuses on nonlinear features handle blocking problem during process. DBAA involves priority evaluator mechanism determine importance each incoming packet at ingress...
Summary Optical transport has emerged as a candidate solution to cope with the rising data transmission challenges of enormously evolving data. In bufferless environment, only ingress node beholds buffering speed up transfer in form bursts. However, such networks are prone contention issues that degrade overall performance and eventually result burst loss. The paper proposes machine learning (ML) inspired deflection routing (DR) algorithm overcome optical switching (OBS) network. contending...
Background: Optical transport has emerged as a candidate solution to cope with the rising data transmission challenges of enormously evolving data. In Burst Switching (OBS) networks, determining an adaptive burst size is difficult task that must be performed efficiently during assembling. Methods: This research proposes hybrid assembly algorithm determines optimal creation time. The proposed uses Transition Count Number (TCN) based method maintain when incoming traffic unpredictable....
Optical transport has emerged as a candidate solution to cope with the rising data transmis- sion challenges of enormously evolving data. In bufferless environment, only ingress node beholds buffering speed up in form bursts. However, such networks are prone contention issues that degrade overall performance eventu- ally results burst loss. The paper proposes Machine Learning (ML) inspired Deflection Routing (DR) algorithm overcome Burst Switching (OBS) network. contending first evaluated...