Abstract
As the 5G systems have introduced network slicing on the virtualized network environment, application-specific QoS (Quality of Service) management has come to the fore to support a range of services, such as eMBB (enhanced Mobile Broadband), URLLC (Ultra-Reliable Low Latency Communications), and mIoT (massive Internet of Things). It is expected for the next-generation systems to support more diverse applications demanding newer and granular quality characteristics for network services. Most of the current transport layer protocols, built on layering design and best-effort paradigm, do not provide the necessary precision and adaptability required for various QoS support. Therefore, we need new protocols that comprehend application behaviours and adapt to dynamic network conditions for more fine-grained QoS enhancement. This paper presents a Context-oriented Transport (CoT) layer for the next-generation network that understands the application context and adapts to varying network conditions with flow-based QoS control. CoT is an end-to-end software solution that improves the underlying network capacity utilization and prioritizes the traffic flows according to quality needs. We prototyped CoT in Linux/Android devices and evaluated the performance with emulated traffic environment. The experiments show that CoT reduces latency by up to 16.5% and improves average throughput by up to 30%, compared with Android 10 in LTE network, resulting from enhanced traffic classification and network utilization.
Highlights
AND RELATED WORK With the emergence of futuristic applications and technologies, achieving end-to-end Quality of Service (QoS) has gained lots of attention
There is a need for a self-evolving protocol suite that responds dynamically to the context of application traffic and the network conditions. Considering all these limitations of the existing transport layer, we propose an end-to-end software solution named Context-oriented Transport (CoT), which could be the first step towards the next-generation transport layer
Our experiments show that CoT improves QoS performance significantly, which results in reduced latency by up to 16.5% and improved throughput by up to 30%
Summary
The exponential growth of smart devices in the coming decades will result in a huge increase in mobile data traffic. Many network layer mechanisms, such as Integrated Services (IntServ) and Differentiated Services (DiffServ) [10] help to achieve low latency for critical network traffic while maintaining best-effort service for non-critical services These QoS control features without cross-layer information are inadequate for futuristic applications with stringent quality needs. It is crucial to design a protocol suite that provides flexibility to dynamically adapt to the application requirements and the network conditions to achieve the KPI’s of future networks To deal with these limitations of the transport layer, we designed and implemented Context-oriented Transport (CoT) that performs fine-grained QoS enhancements for the application flows. Our experiments show that CoT improves QoS performance significantly, which results in reduced latency by up to 16.5% and improved throughput by up to 30%
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