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In these algorithms, both the network resource requirements and the end-to-end delay are considered as the QoS parameters.
In particular, we utilize a recent proposed service architecture, referred to as Service Vector (SV), to enhance the QoS granularity and flexibility offered in the Diffserv network model and improve both the network resource utilization and user benefits.
In the study, we evaluated both the network resource efficiency and QoE performance of four adaptation cases: no adaptation, MAC layer adaptation, application layer adaptation, and combined MAC and application layer adaptation.
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This GBR bearer [12] setting is an expensive process that impacts both the network resources and end user's (e.g. camera's) battery power.
The routing protocol should consider the network resource consumption by examining both the necessity of multiple paths and the addition of control packet exchanges.
SCTP cannot utilize the network resource effectively.
The network resource request model is for characterizing users' simultaneous network resource request in SDN.
Massive content distribution on overlay networks stresses both the server and the network resources because of the large volumes of data, relatively high bandwidth requirement, and many concurrent clients.
With the increased penetration of stochastic resources, distributed generation and demand response, this approach shows severe limitations in both the optimal and feasible operation of these networks, as well as in the aggregation of the network resources for upper-layer power systems.
Based on the obtained results, we can conclude that the combined MAC and application level adaptation approach proposed in this article can be used to achieve the best performance in terms of both optimal network resource usage and video QoE.
This design provides an enhanced use of the networks' resources for both high and low speed users because of the availability of additional channels.
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