Core Backbone Convergence Mechanisms and Microloops Analysis

Abstract

 In this article we study approaches that can be used to minimise the convergence time, we also make a focus on microloops phenomenon, analysis and means to mitigate them. The convergence time reflects the time required by a network to react to a failure of a link or a router failure itself. When all nodes (routers) have updated their respective routing and forwarding databases, we can say the network has converged. This study will help in building real-time and resilient network infrastructure, the goal is to make any evenement in the core network, as transparent as possible to any sensitive and real-time flows. This study is also, a deepening of earlier works presented in [10] and [11].

Authors and Affiliations

Abdelali Ala, Driss Ouadghiri, Mohamed Essaaidi

Keywords

Related Articles

Genetic Algorithm for Data Exchange Optimization

Dynamic architectures have emerged to be a promising implementation platform to provide flexibility, high performance, and low power consumption for computing devices. They can bring unique capabilities to computational...

A New Artificial Neural Networks Approach for Diagnosing Diabetes Disease Type II

Diabetes is one of the major health problems as it causes physical disability and even death in people. Therefore, to diagnose this dangerous disease better, methods with minimum error rate must be used. Different models...

A New Approach for Grouping Similar Operations Extracted from WSDLs Files using K-Means Algorithm

Grouping similar operations is an effective solution to the various problems, especially those related to research because the services will be classified by joint operations. Searching for a particular operation returns...

Lung Cancer Detection and Classification with 3D Convolutional Neural Network (3D-CNN)

This paper demonstrates a computer-aided diagnosis (CAD) system for lung cancer classification of CT scans with unmarked nodules, a dataset from the Kaggle Data Science Bowl, 2017. Thresholding was used as an initial seg...

On Algebraic Spectrum of Ontology Evaluation

Ontology evaluation remains an important open problem in the area of its application. The ontology structure evaluation framework for benchmarking the internal graph structures was proposed. The framework was used in tra...

Download PDF file
  • EP ID EP103480
  • DOI -
  • Views 111
  • Downloads 0

How To Cite

Abdelali Ala, Driss Ouadghiri, Mohamed Essaaidi (2012).  Core Backbone Convergence Mechanisms and Microloops Analysis. International Journal of Advanced Computer Science & Applications, 3(7), 10-25. https://europub.co.uk/articles/-A-103480