LFN User Story – High-Performance Software Router Delivers Compelling Throughput and Economics for 10 Gbps - 100 Gbps Video and Encrypted Traffic Needs of Arkansas State University Three Rivers.
FD.io TSC member Ray Kinsella has been blogging recently on FD.io VPP. This latest post describes how FD.io VPP auto-magically optimizes for the microprocessor generation on which it is running. This means that optimizations can be targeted at specific microprocessors, giving much finer granularity of optimization and better overall performance.
FD.io TSC member Ray Kinsella has been blogging recently on FD.io VPP. His latest post describes how different kinds of applications can punt packets to or receive packets from FD.io VPP. Different applications will have different requirements, and operate at different levels of the OSI model. FD.io VPP is therefore equipped to support a number of different APIs to support these varying requirements. Some applications may require a simple raw packet interface, others will require stateful protocol support behind the BSD Sockets API. FD.io VPP always has a solution.
FD.io TSC member Ray Kinsella has been blogging recently on FD.io VPP. His latest post describes how FD.io VPP is accelerated using SIMD instructions. Single instruction, multiple data (SIMD) instructions are commonly used to improve software efficiency by performing an operation on multiple buffers (data) in parallel. This can improve ‘instructions per cycle’ (IPC) a common metric that describes the efficiency of software. SIMD instructions are most commonly used to accelerate High Performance Computing (HPC) workloads, however FD.io re-purposes these to accelerate networking workloads.
The rise of virtualized and cloud-native networks is revolutionizing today’s networking spaces. Rigid architectures are giving way to network instances that can be spun up in seconds and put to task in no time…
FD.io (“Fido”), relentlessly focused on data IO speed and efficiency supporting the creation of high performance, flexible, and scalable software defined infrastructures, today announced support for terabit rates of IPsec, as well as a billion packets per second of IPv4 routing at scale. Architectural improvements in 3rd Gen Intel Xeon Scalable processors including PCIe bandwidth increase and overall decrease in cycles-per-packet due to CPU micro-architecture improvements combined with FD.io software deliver significant price-performance gains for both cloud- and appliance-based software router and secure networking solutions. FD.io offers the software defined infrastructure developer community a landing site with multiple projects fostering innovations in software-based packet processing towards the creation of high-throughput, low-latency, and resource-efficient I/O services suitable to many architectures (x86, ARM, and PowerPC) and deployment environments (bare-metal, VM, …
IEEE Cluster 2020 Kobe – The paper titled “CuVPP: Filter-based Longest Prefix Matching in Software Data Planes” wins “Best Papers” award at IEEE Cluster 2020 on September 15th. Programmability in network switches (or data planes) has become increasingly important with increasing network virtualization in the Internet infrastructure and large-scale data centers. A critical challenge in data plane programmability is to maintain high-speed packet processing performance with ever increasing link speed to hundreds of Gbps or Tbps. Another challenge is the rapid growing routing table size, e.g., more than 500,000 entries. We implement CuVPP as part of the Real Software Switch VPP and provide a comprehensive evaluation using popular alternative approaches with realistic data sets for network prefixes and traffic. The video presentation can be found here: CuVPP Video The paper can be found here: CuVPP Paper
SAN JOSE – FD.io (“Fido”) – an open source project within The Linux Foundation’s LF Networking (LFN) – announced the availability of FD.io Vector Packet Processor (VPP) software release 20.05. The FD.io VPP (Vector Packet Processor) release 20.05 is now available. FD.io VPP continues to be relentlessly focused on performance. In addition, FD.io VPP continues to add features. All this without sacrificing packet throughput. In this article we highlight some remarkable performance numbers, point to some of the features added in 20.05 and then point to some articles that have been published in the past 5 months.
Revealed: the past, present, and future of the most popular data plane development kit in the world.
When we started integrating VPP in Kubernetes with Calico as a management plane, the goal was to bring the performance of VPP with the flexibility of userspace networking to containers. With its unrivaled IPsec performance, this was clearly an area where VPP would be able to help. Without further ado, here is the encrypted throughput we achieved between two pods on a 40G network To learn more about VPP/Calico click below.
In this blog We will compare the result with the results of my last blog in which we looked at how much a vanilla Linux kernel could do in terms of forwarding (routing) packets. We observed that on Linux, to achieve 14Mpps we needed roughly 16 and 26 cores for a unidirectional and bidirectional test. In this article, we’ll look at what we need to accomplish this with FD.io To continue reading about kernel bypass networking with FD.io VPP please click below.
As most of you may already know, QUIC is a new transport protocol that began as a Google experiment for HTTP/2, which is now being standardized at the IETF. It will also be the default transport protocol for HTTP/3. As a result, it is likely to be very widely deployed in the next few years. Given the growing popularity of QUIC and its expected widespread deployment, it was essential to provide an implementation of QUIC in the Vector Packet Processor (VPP), both to measure the performance that we could reach with a full userspace QUIC stack, and as an enabler for more innovation around the QUIC protocol. To build fast QUIC sockets with FD.io VPP please click below.