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Performance indicators at both physical (probability of decision error) and network (network transmission rate, throughput, aggregate throughput, delay, and network lifetime) layers are considered.
The optimization problem is decomposed into two parts: congestion control for network transmission rate adjustment and processor allocation for computational capacity adjustment.
The migration performance metrics handle several factors like workload characteristic, VM memory size, memory dirty rate, and network transmission rate.
Aiming at the scenarios which have multiple-pair D2D links in the system, the network transmission rate is optimized on the premise of guaranteeing the main communication performance.
Due to the restrictions of network transmission rate and data processing capability, the effective bandwidth of audio signals available for the existing audio communication systems is commonly limited.
Moreover, EC codes can achieve a network transmission rate that is about 91%∼97% % of the bound (bar {t}/bar {M}) and is about 80%∼94.5% % of the network capacity 1−ε.
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Evidence of this heterogeneity includes the wide range of network transmission rates, varying across many orders of magnitude, and the vast differences in computing power, ranging from PDA's to supercomputers.
Simulation results are provided in multiple scenarios and they show that: (i) the proposed algorithms outperform the existing schemes in terms of providing QoS requirements of RT users and maximizing sum network transmission rates; (ii) algorithms designed under total power constraint exploit the power resource much better than those under individual power constraints.
In CR networks, transmission rate of secondary user must be greater than a threshold to send information out.
DR can also be treated as the minimum network data transmission rate.
In a simulation-based study, the authors propose a distributed traffic-aware power control algorithm for multi-hop IEEE 802.11 wireless networks adapting transmission rates to satisfy the network-wide traffic demand [38].
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