Peer Reviewed

We propose remote direct code execution (RDX), which elevates the power of RDMA from memory access to code execution. We target runtime extension frameworks such as Wasm filters, BPF programs, and UDF functions, where RDX enables an agentless architecture that unlocks capabilities such as fast extension injection, update consistency guarantees, and minimal resource contention. We outline the roadmap for RDX around a new CodeFlow abstraction, encompassing programming remote extensions, exposing management stubs, remotely validating and JIT compiling code, seamlessly linking code to local context, managing remote extension state, and synchronizing code to targets. The case studies and initial results demonstrate the feasibility of RDX and its potential to spark the next wave of RDMA innovations.

Creating and maintaining cloud infrastructure via "DevOps programs" is essential to using the cloud. However, developing and testing the DevOps programs requires resource provisioning in the cloud, which is time-consuming and costly. Cloud emulators seek to enable high velocity development by emulating cloud-level APIs to DevOps programs, enabling frictionless testing locally without going through the cloud. However, developing these emulators today is tedious and error-prone: engineers need to digest extensive documentation, and hand-craft emulation logic for each service and service interactions. We make a case for a fundamentally different approach: to "learn" emulation logic from cloud documentation via automated code synthesis. We observe that this task is particularly amenable to AI automation, and that we can constrain the code generation using principled abstractions for accurate synthesis at scale. We report our preliminary findings and discuss new opportunities that our approach will enable. check

5G networks are envisioned to support various emerging use cases, such as telemedicine, remote construction, autonomous driving, industrial automation, drone control, and immersive entertainment. These applications demand low latency, high reliability, and in some cases require ultra-high-bandwidths. Specifically, these applications require 5G networks to provide 1ms end-to-end latency with 99.99% reliability [12] for ultra-reliable low-latency communications (URLLC). Various studies [11, 19, 26] have shown that the radio access network (RAN) remains the bottleneck in realizing low-latency communications.