The Global Networking (GN) team is responsible for the design, development, build and operation of the networks that connect our data centers to our customers.
About the team
The Global Networking (GN) team is responsible for the design, development, build and operation of Google’s global network that every Google service, including the Google Cloud Platform, runs on. We develop cutting-edge networking technologies that allow Google's global WAN to be zero touch, builds out some of the largest scale Software Defined Networks (SDNs) infrastructure ever deployed (B4, Espresso), scales Google's global Content Delivery Networks (CDNs) that supports Google services, develops sophisticated software systems for network capacity forecasting, planning and optimization.
We continuously expand the reach of Google's network across the world laying new optical fibers and building hundreds of points of presence worldwide. This global footprint allows us to optimize the end-to-end speed and reliability of the traffic that we carry for our users and for Google Cloud customers, delivering optimal performance.
In doing all this, we rely on the most advanced techniques in network hardware and software, traffic engineering, and network management to deliver unprecedented scale, availability and performance at industry leading cost points. We are embracing modern data analytics and machine learning to drive efficiency and optimization.
Team focus summaries
Congestion control and traffic management
All networks are subject to congestion; we want to operate ours at high utilization levels while meeting strict performance objectives. We’re inventing new congestion avoidance protocols, and improving our global-scale, near-real-time, automated traffic engineering system. We’re building better ways to measure our networks, accurately and at scale, to drive our evaluation of congestion-control techniques, and as real-time input to automated traffic management.
Data Mining and Telemetry
We collect traffic statistics all around our network infrastructure to track performance, detect quickly unusual events, and compute SLA compliance. We rely on the most advanced data science techniques, machine learning in particular, to reduce the time it takes to detect and root cause events. We use predictive analytics to anticipate some types of problems and adjust our traffic engineering (e.g. traffic surge), or to plan capacity increase.
We’re building automated network management systems, enabling us to rapidly repair and improve our networks with little or no downtime. We’re using techniques such as formal modeling of network topologies and highly-available distributed systems, while working closely with Google’s network engineers and operators to implement automated workflows.
Optical networking - Terrestrial and Submarine
We work on developing and deploying cutting-edge optical solutions to scale cost-effectively and to increase network availability. These include new coherent transmission technologies, disaggregated line systems, high-capacity submarine wet plant, subsea switching technologies, transport SDN configurations, and sophisticated physical and logical layer design and optimization tools.
Programmable packet processing
We’re developing new mechanisms for low-latency, CPU-efficient communication. We want our network switches and endpoints to implement novel packet-processing functions without compromising on cost or performance. We’re exploring hardware and software techniques for fast, flexible, safe packet processing, including onload, offload, RDMA, P4, and more.
Rapid and reactive development and testing
To introduce network innovations into production as rapidly as possible, without compromising availability, we test our designs and implementations early, often, and extensively. We’re developing advanced software validation techniques, we embrace automation in all aspects of testing and qualification, and we build powerful infrastructure for testing, debugging, and root-causing, in both physical and emulated testbeds.
Software-Defined Networking (SDN)
We employ SDN extensively. We were early users of, and contributors to, OpenFlow, and continue, with the P4 network processor programming language, to raise the level of abstraction for silicon-agnostic switching. We are developing SDN controller platforms that can handle Google’s needs for scale and reliability, and SDN applications for routing, traffic management, and other functions.
We’ve developed one of the world’s largest, most cost-effective wide area networks, and we continue to increase its scale and reliability, while extracting the best possible performance from WAN hardware and fiber links. We’re employing Google-designed and vendor hardware, SDN controllers, and global-scale automated traffic engineering to address these challenges.