Cloud and AI/ML workloads are posing unprecedented new requirements on the wide-area network: it must combine strict availability, massive growth, and feature agility. It became increasingly clear that traditional WAN designs were ill-equipped to adapt to these requirements.

Motivated by our experiences operating a global WAN, we argue that SDN's reliance on infrastructure external to the data plane has substantially complicated the challenge of maintaining high availability. We propose a new decentralized SDN (dSDN) architecture in which SDN control logic instead runs within routers, eliminating the control plane's reliance on external infrastructure and restoring fate-sharing between control and data planes. We present dSDN as a simpler approach to realizing the benefits of SDN in the WAN. Despite its much simpler design, we show that dSDN is practical from an implementation viewpoint, and outperforms centralized SDN in terms of routing convergence and SLO impact.

We present the design of Espresso, Google's SDN-based Internet peering edge routing infrastructure. This architecture grew out of a need to exponentially scale the Internet edge cost-effectively and to enable application-aware routing at Internet-peering scale. Espresso utilizes commodity switches and host-based routing/packet processing to implement a novel fine-grained traffic engineering capability. Overall, Espresso provides Google a scalable peering edge that is programmable, reliable, and integrated with global traffic systems. Espresso also greatly accelerated deployment of new networking features at our peering edge. Espresso has been in production for two years and serves over 22% of Google's total traffic to the Internet.

Maintaining the highest levels of availability for content providers is challenging in the face of scale, network evolution and complexity. Little, however, is known about failures large content providers are susceptible to, and what mechanisms they employ to ensure high availability. From a detailed analysis of over 100 high-impact failure events in a global-scale content provider encompassing several data centers and two WANs, we quantify several dimensions of availability failures. We find that failures are evenly distributed across different network types and planes, but that a large number of failures happen when a management operation is in progress within the network. We discuss some of these failures in detail, and also describe our design principles for high availability motivated by these failures, including using defense in depth, maintaining consistency across planes, failing open on large failures, carefully preventing and avoiding failures, and assessing root cause quickly. Our findings suggest that, as networks become more complicated, failures lurk everywhere, and, counter-intuitively, continuous incremental evolution of the network can, when applied together with our design principles, result in a more robust network.

We describe the implementation of one channel of an optoelectronic orientation enhancement algorithm based on a neurally inspired algorithm. An 8/spl times/8 VCSEL (Vertical Cavity Surface Emitting Laser) array, hybridized to CMOS driver circuits, transmits a contrast-enhanced image that would be computed in the early stages of visual processing. A diffractive optical element (DOE) generates a projective field which reinforces pixels of a preferred orientation. A CMOS receiver integrates correlated pulses to produce high output in frequently activated areas. Data from a one channel system shows orientation enhancement.