Building a model for the future 6G network


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Traditional networks are unable to meet the demands of modern computing, such as advanced computing and bandwidth-demanding services like video analytics and cybersecurity. In recent years, there has been a major shift in the direction of network research towards Software Defined Networks (SDN) and Network Function Virtualization (NFV), two concepts that could overcome the limitations of traditional networks. . SDN is an approach to network architecture that allows control of the network using software applications, while NFV seeks to move functions such as firewalls and encryption to virtual servers. SDN and NFV can help businesses be more efficient and lower costs. Needless to say, a combination of the two would be far more powerful than either alone.

In a recent study published in IEEE Transactions on Cloud Computing, Korean researchers are now proposing such a combined SDN / NFV network architecture which seeks to introduce computational functions additional to existing network functions. “We expect our SDN / NFV based infrastructure to be considered for the future 6G network. Once 6G is commercialized, the technique of managing network and computing core resources can be applied to AR / VR or holographic services, ”says Professor Jeongho. Kwak from Daegu Gyeongbuk Institute of Science and Technology (DGIST), Korea, which was an integral part of the study.

The new network architecture aims to create a holistic framework that can fine-tune processing resources that use different (heterogeneous) processors for different tasks and optimize networking. The unified framework will support dynamic service chaining, which allows a single network connection to be used for many connected services such as firewalls and intrusion protection; and code offloading, which involves transferring compute-intensive tasks to a resource-rich remote server.

To minimize system cost while maximizing Quality of Service (QoS), researchers have developed a Dual-RMR (Dual Resource Send Rate Control and Multipath Routing) algorithm that seeks to avoid network congestion. and to improve performance and security by regulating the flow of data in the network and using several alternative paths for its transmission.

They then tested their algorithm on several toy scenarios and a large-scale real-world scenario to assess its practical applicability. “The framework can efficiently and optimally deliver appropriate resources for applications that require different compute, storage and networking resources depending on the space and time available to use,” says Professor Kwak.

Teamwork Can Make the 5G Dream Work: A Collaborative System Architecture for 5G Networks

More information:
Yeongjin Kim et al, Dynamic computing and network chaining in an integrated SDN / NFV cloud infrastructure, IEEE Transactions on Cloud Computing (2021). DOI: 10.1109 / TCC.2021.3094681

Provided by Daegu Gyeongbuk Institute of Science and Technology

Quote: Building a template for the future 6G network (2021, October 1) retrieved November 10, 2021 from

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