Authors :
Deepashree H. L
Volume/Issue :
Volume 8 - 2023, Issue 4 - April
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/41TrWJF
DOI :
https://doi.org/10.5281/zenodo.7878759
Abstract :
Media streaming applications have recently
been envisioned to a large number of users in the
Internet. This huge demand creates a burden on
centralized data centers at media content and has
turned out to a research area. The problem becomes
more critical with the increasing demand for higher bit
rates required for the growing number of higherdefinition video quality desired by consumers. Most of
the existing cloud providers employ a pricing model for
the reserved resources that is based on non-linear timediscount tariffs Such a pricing scheme offers discount
rates depending non-linearly on the period of time
during which the resources are reserved in the cloud
this can be resolved by Prediction-Based Resource
Allocation algorithm the proposed system is an android
application based, as smart phones are more in use.
Keywords :
Video; Streaming; Media; Resource; Prediction-Based.
Media streaming applications have recently
been envisioned to a large number of users in the
Internet. This huge demand creates a burden on
centralized data centers at media content and has
turned out to a research area. The problem becomes
more critical with the increasing demand for higher bit
rates required for the growing number of higherdefinition video quality desired by consumers. Most of
the existing cloud providers employ a pricing model for
the reserved resources that is based on non-linear timediscount tariffs Such a pricing scheme offers discount
rates depending non-linearly on the period of time
during which the resources are reserved in the cloud
this can be resolved by Prediction-Based Resource
Allocation algorithm the proposed system is an android
application based, as smart phones are more in use.
Keywords :
Video; Streaming; Media; Resource; Prediction-Based.
