This presentation will outline the architectures for the top three platforms in each of these two categories, Von Neumann and Programmable Logic. Showing how vendors like NVIDIA, Pensando, Marvell, Achronix, Intel, and Xilinx have chosen to architect their solutions. We will then weigh the merits and benefits of each approach while also highlighting the performance bottlenecks. By the end of the presentation, it may be fairly clear where the industry is headed, and which solutions may eventually win out.

Marginal links and congestion have plagued storage fabrics for years and many independent solutions have been tried. The Fibre Channel industry has been keenly aware of this issue and, over the course of the last two years, has created the architectural foundation for a common ecosystem solution. Fabric Notifications employs a simple message system to provide registered participants with information about key events in the fabric that are used to automatically address link integrity and congestion issues.

Accessing data within an enterprise spread across geo-diverse locations challenges work productivity, time, and IT resources. Existing methods require data to be transferred and replicated leading to delayed business insights or even insights based on stale data. In addition, having to send a copy of data to every user that requires it leads to copy sprawl, data management challenges and compromised data security. Even with data transfer, data arrives at the destination in an unpredictable time and performance varies with data type/size and application.

Introduced in 2021, Fabric Notifications developed into a key resiliency solution for storage networks. Providing the ability to respond to events impacting the Fabric, Fabric Notifications enhances the overall user experience when deploying traditional Fibre Channel SANs. In this session, the improvements in the user experience are profiled for solutions using Linux, AIX, and PowerPath. The latest developments in both standards and market solutions are also provided as an update to this exciting new technology.

NVMe over IP is a technology able to provide complete and scalable SAN solutions. Security is of paramount importance for SANs and the fundamental methods to secure NMVe over IP fabrics (i.e., DH-HMAC-CHAP authentication and TLS secure channel) have been defined. However, the security provisioning of these methods does not scale yet to large fabrics.

Costs and risks of implementing High-Performance Embedded Systems such as Centralized Car Servers for Autonomous Vehicles can be reduced when borrowing from modern datacenter technology. Therefore, PCIe and Multi-Gigabit Ethernet have become a foundation for automotive in-vehicle infrastructure. While the needs for storage in automotive are somewhat relaxed, compared to datacenters, automotive has a need for “unconventional” storage connectivity like many sensors to few CPUs to single SSD.

While consistently delivering on bandwidth needs, many storage fabrics have struggled to keep pace with customer expectations around storage infrastructures powered by AIOps, intelligently tiered storage and provisioning. Building an autonomous, self-driving storage fabric requires shared intelligence between endpoints, strong awareness of fabric conditions and decisive action that automates best practices.

nvme-stas is an open source Linux project that provides: - A Central Discovery Controller (CDC) client for Linux - Asynchronous Event Notifications (AEN) handling - Automated NVMe subsystem connection controls - Error handling and reporting - Automatic (zeroconf) and Manual configuration nvme-stas is composed of two services, stafd and stafd, running on a Host computer. It uses the newly released libnvme 1.0 to communicate with the Linux kernel's nvme driver.

Writing a storage network server based on TCP sockets seems straightfoward - you call send() and recv() on the socket and parse the data. But the reality is not so simple. For example, most people know that sockets should be grouped together to make polling the set more efficient via epoll, kqueue, or io_uring. But did you know that it matters which sockets are grouped together, and that there's at least three different ways to group them?

This abstract explores the integration of Remote Direct Memory Access (RDMA) on the Microsoft Azure Network Adapter, a specialized network interface card optimized for RDMA workloads in Azure environments. It discusses the advantages of RDMA technology, including reduced latency, improved throughput, and lower CPU utilization. The abstract highlights the configuration options and network protocols supported by the adapter, such as InfiniBand and RDMA over Converged Ethernet (RoCE).