Volume 6 Issue 3 - January 2016

  • 1. Kernel network parameters optimization using optimized artificial neural network to serve quality of service parameters

    Authors : Hiteshkumar Nimbark, Dr Paresh Kotak

    Pages : 163-169

    Keywords : Artificial Neural Network,Artificial Bee Colony Algorithm, Nature-Inspired Meta-heuristics, Optimizations, TCP

    Abstract :

    The High-performance computer networks (HPNs) is major important in the success of critical mission, computer network centric operations when data volumes and near real-time data processing requirements is very high. Now a days the data requirement is increase in 3 to 5 folds. Based on Lowest time latency, big enough bandwidth with high steadfastness, the High performance network is benefited a lot. The applications and process like replication and recovery of datacenter and distributed computing network require support of very big transfer and very small network latency time to perform the mission of critical requirement. Ordinally and Traditionally there are two main approaches deal with the same for justify the Quality of Service(QoS). The first is to create for each service request a reservation state and keep it for all the connection known as Integrated Service Architecture (IntServ). The another one is to carry out the categorization of the traffic at the ingoing of the network.

    Citing this Journal Article :

    Hiteshkumar Nimbark, Dr Paresh Kotak, "Kernel network parameters optimization using optimized artificial neural network to serve quality of service parameters", https://www.ijltet.org/journal_details.php?id=898&j_id=2837, Volume 6 Issue 3 - January 2016, 163-169, #ijltetorg