English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Multicast has brought a drastic change in the field of networking by offering bandwidth effective technology that leads to reduce tariff. It is popular for optimizing network performance s. This paper evaluated a model for fine tuningthe value of a k in a K-fold multicast network underdifferent traffic loads under poisson traffic with finite queue at each node. Stationary distribution hasbeen derived for the network states and various expressions have been developed for the network to determine throughput and the blocking probability of the network. It has been established from this research work that by increasing the fold number, the network throughput can be increased very fast. However, it has been also observed that after increasing the fold number up to a certain value, the blocking probability stops to increase and becomes constant. We have also noticed that the throughput increaseswith the increase of the offered traffic and the blocking probability decreases when the system parameter k is increased. Moreover, an optimum value of k ceases the blocking probability for a particular value of the offered trafficfor finetuning the outcome of the network.

Fine-tuning of k in a K-fold Multicast Network with Finite Queue using Markovian Model