Interested in learning more about network functions virtualization and software-defined networking? Be sure to check out our pages on SDN Programability, SDN Controller Vendors, or Open Source SDN Controllers.
Traditional network designs are failing service providers. In today’s marketplace, dependence on purpose-built hardware and use of manual systems interfaces lead to complex hardware stacks, over-provisioning, and lengthy service cycles. A new white paper from ACG Research argues that networks based on network functions virtualization (NFV) and software-defined networking (SDN) can drastically reduce these problems and help providers become more competitive.
The white paper, “Business Case for NFV/SDN Programmable Networks,” highlights Juniper Networks’ High-IQ programmable networking approach and analyzes three specific use cases that can directly support business goals: cloud customer premise equipment (CPE) and virtual firewall (vCPE), real-time network self-optimization, and elastic traffic engineering.
Juniper’s High-IQ networks use NFV and SDN to eliminate over-provisioning and provide near real-time network optimization. They combine a unified control plane with programmable virtualized network resources to automate service provisioning and network management processes across many devices, multiple layers, and multiple vendors.
The cloud CPE and vCPE use case replaces physical CPE with a simple on-premises Ethernet device and moves IP virtual private network (VPN) and firewall functions to the cloud. The paper says the simpler CPE results in significantly lower setup costs and reduces inventory, maintenance, and support costs for a 36 percent five-year net present value (NPV) increase compared to the physical CPE solution.
The use case for real-time network self-optimization shows how High-IQ networks reduce total cost of ownership compared to manual processes. In traditional network architectures, optimization requires manual traffic engineering processes that hinder response to changing traffic flows and force operators to throw bandwidth at the problem. In High-IQ networks, a self-optimizing controller uses real-time traffic flows to adjust the network model of the controller, identify a new optimized path that avoids congestion, then program the new optimized route.
The final use case, elastic traffic engineering for a national all-IP core network, outlines the advantages of an SDN solution compared to the present mode of operations. The SDN solution reduces bandwidth and associated link CapEx by 35 percent while maintaining all network service level agreements.
Programmable High-IQ networks enable service providers to develop a more agile response to dynamic service needs, reduce operational costs, and scale their network. Read the white paper to learn more.