TY - JOUR
AU - Godlove Kuaban
AU - Tulin Atmaca
AU - Amira Kamli
AU - Tadeusz Czachórski
AU - Piotr Czekalski
AB - The transmission of massive amounts of small packets generated by access networks
through high-speed Internet core networks to other access networks or cloud computing data centres has introduced several challenges such as poor throughput, underutilisation of network resources,  and higher energy consumption. Therefore, it is essential to develop strategies to deal with these challenges. 
One of them is to aggregate smaller packets into a larger payload packet, and these groups of aggregated packets will share the same header, hence increasing throughput, improving resource utilisation, and reduction in energy consumption. This paper presents a review of the packet aggregation applications in access networks (e.g., IoT and 4G/5G mobile networks), optical core networks, and cloud computing data centre networks. 
Then we propose new analytical models based on diffusion approximation for the evaluation of the performance of packet aggregation mechanisms. We demonstrate the use of measured traffic from real networks to evaluate the performance of packet aggregation mechanisms analytically. The use of diffusion approximation allows us to consider time-dependent queueing models with general interarrival and service time distributions. Therefore these models are more general than others presented till now.

BT - Sensors
DA - 06/2021
DO - https://doi.org/10.3390/s21113898
IS - 3898
LA - eng
N2 - The transmission of massive amounts of small packets generated by access networks
through high-speed Internet core networks to other access networks or cloud computing data centres has introduced several challenges such as poor throughput, underutilisation of network resources,  and higher energy consumption. Therefore, it is essential to develop strategies to deal with these challenges. 
One of them is to aggregate smaller packets into a larger payload packet, and these groups of aggregated packets will share the same header, hence increasing throughput, improving resource utilisation, and reduction in energy consumption. This paper presents a review of the packet aggregation applications in access networks (e.g., IoT and 4G/5G mobile networks), optical core networks, and cloud computing data centre networks. 
Then we propose new analytical models based on diffusion approximation for the evaluation of the performance of packet aggregation mechanisms. We demonstrate the use of measured traffic from real networks to evaluate the performance of packet aggregation mechanisms analytically. The use of diffusion approximation allows us to consider time-dependent queueing models with general interarrival and service time distributions. Therefore these models are more general than others presented till now.

PY - 2021
SE - 1
T2 - Sensors
TI - Performance Analysis of Packet Aggregation Mechanisms and Their Applications in Access (e.g., IoT, 4G/5G), Core, and Data Centre Networks
VL - 21
ER -