We will cover a reference architecture for network slicing in this blogpost.
5G
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3GPP as the foremost standards body driving network slicing defines the overall framework for Operators to provide customized network slice instances (NSI) that support various requirements/features. These include a Network Slicing management framework which this blog post will discuss.
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3GPP is the principal standards body driving 5G architecture and standards. It has defined various network slicing specifications in its various working groups.
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Prior to the advent of K8s and Cloud-Native functions, network functions (NFs) were primarily deployed by CSPs as a combination of physical appliances and some VMs.
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We briefly discussed the benefits of slicing from a 5G operator POV. Let us consider the top benefits of this technology from an Operator Standpoint.
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Network slicing should be thought of as true business-level virtualization for 5G networks. Operators will be able to share the same 5G physical infrastructure among many multiple tenants – 5G service operators, enterprises and consumers.
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The goal of 5G deployments is to provide consumers and business users with highly engaging experiences that leverage the high reliability and high performance provided by the underlying network.
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5G applications will all be about low latency and fast data processing at high throughput. These will include not just the wireless core, radio applications but also custom workloads such as video streaming, VoIP, etc. Along with SR-IOV, DPDK is a high-performance option that enables the industry to move latency-sensitive applications to the cloud.
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5G use cases need direct connectivity between CNFs (Cloud Native Functions), running on Kubernetes pods, and physical NICs. SR/IOV has been used for quite some time and thanks to plugin contributions from Intel and others, it is now available for enterprise use.