Many modern service architectures create multiple service instances. These instances are often geographically distributed to multiple sites. The CAN (Computing-Aware Networking) working group (WG) is chartered to consider the problem of how the network edge can steer traffic between clients of a service and sites offering the service. Since, for some services (for example, VR/AR, intelligent transportation), the performance experienced by clients will depend on both network metrics such as bandwidth and latency, and compute metrics such as processing and storage capacity, there is a need for a solution that can optimize how an ingress node steers traffic based on these metrics, as appropriate to the service. Although the specific optimization function will likely differ between services, there is a need for a general framework for the distribution of compute and network metrics and transport of traffic from client edge to service instance. It also is likely that some set of common metrics can be identified. The CAN WG will concern itself with these issues. The IETF has done past work on exposing network conditions to endpoints (notably ALTO) and load balancing/service selection at layers 4 and 7 (for example, related to the selection of SIP servers). Specific characteristics that may distinguish CAN from other work include the desire to integrate both network and compute conditions in the optimization function, and the desire to operate the function on nodes within the service provider's network, logically separated from service operation. As part of its work, the CAN WG will seek advice and expertise from the ART and TSV areas. The assumed model for the CAN WG is an overlay network, where an ingress node makes a decision based on the metrics of interest, and then steers the traffic to an egress node that serves the selected service instance, for example using a tunnel. Architectures that require the underlay network to be service-aware are out of scope. The CAN WG will analyze the problem in further detail and produce an architecture for a solution. Ideally, that architecture will be one that can be instantiated using existing technologies. The CAN WG is chartered to work on the following items: o Groundwork may be documented via a set of informational Internet Drafts and not necessarily for publication as an RFC: o Problem statement for the need for considering both network and computing resource status. o Use cases for using the network and computing resource status to benefit the steering of traffic from applications that have a critical SLA that would require the integrated considerations of network-path conditions and computing resources. o Requirements for commonly agreed computing metrics and their distribution across the overlay network, as well as the appropriate frequency and scope of distribution. o Overall CAN framework & architecture: o This work encompasses the various building blocks and their interactions, realizing a CAN control and data plane that addresses the identified problems and requirements in the groundwork. This should also cover OAM, scalability and security aspects. o Additional groundwork to include: o Analyze the suitability and usefulness of computing and networking metrics for traffic steering decisions in CAN with a CAN metrics ontology as a possible outcome. o Analyze methods for distributing the necessary information to utilize the identified metrics in CAN use cases. o Applicability of existing tools and mechanisms: o Analysis of implementing the CAN control and data plane using existing mechanisms, including identifying the limitations of existing tools in fulfilling requirements. o Study potential new approaches for the CAN control and data plane solution that can fill the identified gaps of existing tools and solutions. o Study FCAPS (fault, configuration, accounting, performance, security) requirements mechanisms and suitability of existing messaging protocols (NETCONF) and data models (YANG). Milestones: Jul 2023 Adopt the CAN Problem Statement, Use Cases, gap analysis, and Requirements documents Jul 2024 Adopt the CAN framework & architecture document Nov 2025 Submit the CAN framework & architecture document to the IESG for publication