학술논문

Asynchronous approach for network fault management by strongly typed genetic programming
Document Type
Conference
Source
2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017 2nd IEEE International Conference on. :516-520 May, 2017
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Optical fiber networks
Bandwidth
Instruction sets
Optical fiber devices
Genetic programming
Congestion
network fault management
STGP Bandwidth
Language
Abstract
The increasing demand of high speed data makes it necessary to effectively utilize the existing resources and available bandwidth rather than deploying new resources and upgrading the entire system to fulfill the increased need of data. Congestion in the transmission link result in degraded performance and faults in the network. This paper describes an approach for network fault management in optical transport network. The approach characterizes both the blocking due to unavailability of network elements, as well as the blocking due to multiple interfering connection requests in synchronous way of communication. The algorithm is based on STGP (Strongly Typed Genetic Programming) which ensures the avoidance of faults in the network due to blocking calls. The evolution of each individual in population is asynchronous to optimize the utilization of bandwidth and Network elements.