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In the EXP/PF scheme, RT users always have a higher priority than NRT users when their HOL packet delays are approaching the maximum delay constraint, regardless of the experienced QoE.
Furthermore, Jeong et al. in [11] proposed to prioritize the packets according to the so-called "emergency factor" which is the ratio between the packet delay and the maximum delay constraint.
The end-to-end packet delay over a single wireless network (d r ) is dominated by the queueing delay at the bottleneck link, and it can be approximated by an exponential distribution [39], i.e., P d r > T ≈ 1 2 π exp - T d r, (13). in which denotes the maximum delay constraint that prevents the playback buffer starvation.
In (3), W max is the maximum HOL packet delay of all RT service users in the cell considered, τ max is the maximum delay constraint of RT services (in milliseconds), whereas ε and k are constants defining how ω(t) is updated depending on W max and τ max.
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In this paper, we present a novel algorithm for simultaneous multilayer interconnect spacing that minimizes the total dynamic power dissipation caused by an interconnect, while maximum delay constraints are satisfied.
Results presented in Figure5a have been derived using a maximum packet loss constraint P l max ≤ 0.01 and a maximum average delay constraint D l max ≤ 10.
For smooth playback of a live video, transmitted packets must meet maximum allowed delay constraint.
The maximum number of processors nmax then depends only on the maximum call setup delay constraint and the capacity becomes independent of μ.
While the traditional Capacitated Minimum Spanning Tree (CMST) problem deals with only traffic capacity constraint of a port of a source node, and Delay-Constrained Minimum Spanning Tree (DCMST) considers only the maximum end-to-end delay constraint, the DC-CMST problem deals with mean network delay and traffic capacity constraints simultaneously.
Here, we use the results of the two research tools to conduct comparative analysis to verify whether the results of the TTE simulation can meet the delay constraints of the maximum delay derived from network calculus.
We propose a centralized algorithm with a greedy strategy that can minimize the maximum interference while satisfying the delay constraint.
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