Server

The server room setting has undergone significant changes in recent years, and openEuler comes with several technologies designed to add efficiency and improve TCO. One example is DPUDirect, a cross-host collaboration framework that allows services to migrate between hosts for better flexibility and failover in a server room environment. DPUDirect responds to the expanding use of Data Processing Units (DPUs). DPUs, which are frequently used in AI and other data-intensive operations, combine features of a CPU and network interface to offload network-intensive tasks, improving performance in settings where complex computations are shared among multiple processors. DPUDirect facilitates offloading of the container or virtualization management plane, eliminating redundancy and improving efficiency in DPU-based environments.

openEuler also supports Enhanced Network File System (eNFS), an advanced version of NFS designed for Network Attached Storage (NAS) environments, as well as HPCRunner, a tuning assistant that reduces deployment costs and improves optimization efficiency.

EulerFS is a file system designed to work efficiently with non-volatile dual in-line memory modules (NVDIMMs). Although other file systems, such as the EXT4 file system, can work with NVDIMMs, heavy metadata management overhead can reduce the overall performance. EulerFS employs pointer-based dual directory views to reduce metadata synchronization overhead.

Cloud

Cloud technology is increasingly important in the IT space. openEuler supports a number of components designed for delivering smoother and more efficient cloud operations. HybridSched is a full-stack solution for hybrid deployment of VMs, providing enhanced OpenStack cluster scheduling and kernel-mode basic resource isolation (Figure 4). Skylark, which is incorporated with HybridSched, is a Quality-of-Service (QoS) aware resource scheduler that improves utilization when high- and low-priority VMs are deployed together.

Figure 4: HybridSched supports OpenStack in hybrid environments.

KubeOS is a lightweight operating system that supports containerization in cloud-native scenarios. You can manage your KubeOS environment through Kubernetes, including atomic upgrades and API-based operations for both containers and node OS components. open-Euler also supports Rubik, a hybrid container deployment engine that schedules and isolates resources to improve node resource utilization, ensuring prioritization for mission-critical services. NestOS is a cloud OS incubated in the openEuler community that offers secure management and integrates popular container engines such as Docker, Podman, and iSulad.

openEuler images are currently available directly within the AWS, Azure, and Alibaba cloud systems, and you can install openEuler as a community-provided image in the Google cloud.

Edge

Edge computing is an important topic for many organizations as the old paradigm of centralized processing gives way to exploding data volumes from self-driving cars, industrial sensors, IoT systems, and other smart devices. open-Euler responds to the edge challenge by integrating KubeEdge, an open source management and provisioning tool incubated by the Cloud Native Computing Foundation. openEuler Edge integrates KubeEdge into a unified management platform (Figure 5) that streamlines AI deployments, implements service discovery and traffic forwarding, and improves processing and efficiency for edge devices.

Figure 5: openEuler Edge supports unified management in edge computing scenarios.