Impact Of Using Fiber Delay Scheme On Burst Loss Ratio And Delay Using Offset Time Algorithm For Optical Burst Switching Networks
Journal Title: Journal of Intelligent Systems and Applied Data Science (JISADS) - Year 2023, Vol 1, Issue 1
Abstract
The optical burst switching (OBS) paradigm is an intermediate optical switching solution between optical packet switching (OPS) and optical circuit switching (OCS). In addition, OBS has enormous bandwidths that can satisfy the requirements of bandwidth applications and the growing number of end users. OBS, suffer from burst contention due to a lack of optical buffers. This problem results in a high burst loss ratio and increased end-to-end delay, thus degrading the performance of the OBS network. This study has proposed a Fuzzy Offset Time algorithm (FOTA) to address the above issues. The fuzzy input comprises three parameters: B.Size, Distance, and Q.Delay. In this study, Five defuzzification techniques are used Centroid, bisector, largest of maximum, smallest of maximum, and mean of maximum (CM00, BM04, LM02, SM03, MM01, respectively) applying to both maximum and algebraic sum accumulation techniques using fiber delay schemes. The results of FOTA show the defuzzification (LM02 and LS02) have effects in reducing BLR (burst loss ratio) while the defuzzification (SM03 and LS02) have effects in reducing end-2-end delayed, respectively
Authors and Affiliations
Laila A. Wahab Abdullah Naji1, Ibrahim Khider Eltahir1*, Hadeil Haydar Ahmed Elsheikh1
Keywords
Related Articles
- EP ID EP759139
- DOI -
- Views 28
- Downloads 0
Privacy Threats Unveiled: A Comprehensive Analysis of Membership Inference Attacks on Machine Learning Models and Defense Strategies
Membership inference attacks, aiming to determine whether target data belongs to a training dataset through machine learning model exploitation, present an escalating privacy threat within the machine learning landscape....
A PERFORMANCE STUDY OF TWO JPEG COMPRESSION APPROACHES
As technology continues to advance, and thetransition into the digital age, we find ourselves dealing with an ever-expanding volume of information, often leading to challenges in managem...
Machine Learning-Based Mobile Payment System for Empowering Low-Income Earners in India
In the contemporary era, mobile phones have become indispensable, serving as communication devices and offering myriad applications. Among these applications, mobile payment systems hold great potential in driving the tr...
THE ROLE OF DEPENDABILITY IN IOT SYSTEMS
The advances in the Internet of Things (IoT) have contributed to the automation of various industries by enabling devices and systems to effectively connect and collect data remotely over the internet. This progress has...
API Malware Analysis : Exploring Detection And Forensics Strategies For Secure Software Development
API Malware Analysis and Forensics is a key field of research in cybersecurity. It is critical to have strong defences in place to detect and prevent malware attacks. APIs, since they can have disastrous consequen...