Focused on system technology, sharing cutting‑edge developments, innovation and practice, and analysis of industry tech hotspots.
The second Firmware Technology Summit in Changsha, co‑hosted by Volcano Engine and Alibaba Cloud, gathered over 200 experts to showcase cloud firmware 3.0, OpenSFI, Efistub, AI‑focused RAS, and a new IPMI‑HTTPS security model, highlighting open‑source collaboration and industry standards for next‑gen hardware‑software integration.
This article details the design, implementation, and performance evaluation of a user‑space MPTCP stack built on DPDK, showing how a layered, zero‑copy architecture and same‑core lock‑free forwarding can boost data‑center throughput by up to 100% while reducing latency by about 10%, all while remaining compatible with existing TCP applications.
At Netdev 0x19, ByteDance's STE team presented two talks—one on a NUMA‑locality‑aware MPTCP flow‑selection strategy that can raise throughput by up to 30% and lower tail latency by 6%, and another on a DPDK‑based user‑space MPTCP stack that reduces latency by nearly 10% and more than doubles throughput—showcasing practical performance gains for data‑center networking.
This article demonstrates how to use DPDK's Graph API for L3 packet forwarding, introduces a custom ACL node, and presents performance comparisons of different packet‑transfer mechanisms and batch sizes within the graph pipeline.
This article explains how a mixed‑integer programming tool developed by ByteDance's SYS‑DCD team integrates cost, reliability, delivery speed, and environmental metrics to optimize data‑center planning, reduce power waste, and accelerate deployment across multiple regional scenarios.
This article explains why edge computing demands ultra‑low latency and high security, describes the architecture of Volcano Engine's edge nodes, and details the technical innovations—such as interrupt‑no‑exit, timer passthrough, and kernel isolation—that enable high‑performance virtual machines to rival bare‑metal performance across CDN, live‑streaming, and acceleration scenarios.
ByteDance's STE team dissected the severe compile‑time delays and oversized binary artifacts in their data‑center C++ applications, presenting root‑cause analyses, LLVM bug fixes, and a suite of optimization techniques that together cut build times by up to 50% and reduced binary size by over 80%.
This article explains the mGPU solution that virtualizes NVIDIA GPUs for containers, detailing its driver architecture, compute and memory isolation mechanisms, performance benchmarks on ResNet‑50 inference, and how it boosts GPU utilization by over 50% for AI and high‑performance computing tasks.
ByteDance won the 2024 Open Compute Best Practice Award for its groundbreaking work in cloud firmware, OpenBMC, VDUSE virtualization, and kernel memory optimizations, illustrating how open‑source collaboration drives more efficient, scalable data‑center infrastructure in the AI era.
Netcap, an open‑source eBPF‑based kernel network capture tool from ByteDance STE, lets developers trace packets across the entire Linux network stack, filter with tcpdump syntax, and extend functionality with custom filters, dramatically improving the efficiency of diagnosing kernel packet loss problems.
