Composable disaggregated infrastructures provide a promising solution to addressing the provisioning and computational efficiency limitations, as well as hardware and operating costs, of integrated, siloed systems. But how do we solve these problems in an open, standards-based way? The Sunfish project, a collaboration between DMTF, SNIA, the OFA, and the CXL™ Consortium to provide elements of the overall solution, with Redfish® and SNIA Swordfish™ manageability providing the standards-based interface.

The first Redfish and Swordfish standards appeared in 2015 and 2016. The first Redfish and Swordfish open-source implementations showed up in 2019. There are implementations that fit in the BMC, as well as software implementations, such as python, C++ and golang that run on top of an operating system. This session will provide a survey of these implementations.

NVM Express® (NVMe®) technology has become synonymous with high-performance storage seeing widespread adoption in client, cloud and enterprise applications. Since the release of the NVMe 2.0 family of specifications, the NVM Express organization has released a number of new features to allow for faster and simpler development of NVMe solutions in order to support increasingly diverse environments.

SNIA Swordfish® provides a comprehensive standards-based interface to manage scalable storage. This presentation provides a broad look at the Swordfish ReSTful hierarchies, maps these to some common applications, and provides an overview of the Swordfish tools and documentation ecosystem developed by SNIA’s Scalable Storage Management Technical Work Group (SSM TWG).

Emerging Deep Learning/ Machine learning and cloud native Applications at data center scale demand terabytes of data flowing across the storage/ memory hierarchy, straining interconnect bandwidth and component capacities. The Industry has responded with a wide range of solutions like process node shrink, higher capacity devices, new tiers, innovative form factors, new interconnect technologies and fabrics, new types of compute architectures, new algorithms and more to creatively leverage storage/memory tiering.

Users of DNA as a digital data storage medium must have confidence that they can reliably recover their stored data, and to understand the competing capabilities and claims of codecs, readers, writers, and container systems as a multi-vendor DNA data storage ecosystem emerges.

Computational storage has emerged as a powerful solution for improving the performance and efficiency of compute systems by offloading computational tasks to storage devices. Emulating computational storage environments is crucial for software development, testing and benchmarking purposes before deploying such systems in production. This proposal presents an approach to emulate Computational Storage Drives(CSDs), Computational Storage Processor (CSPs) and Computational Storage Arrays (CSAs) using QEMU, SPDK, and libvfio-user.

As Cloud industry gears up towards attacking Climate Change – identifying the sources of carbon and other associated impacts is a needed first step to device a plan of action to further sustainability improvements. The cloud storage market is expected to exceed $390B by 2028; hence a key area of focus to reduce Data Center Climate Impact. As a leading force in the cloud solution sector, we recognize the environmental implications.

This talk will show that using carbon footprint as a common metric to assess a set of computing equipment allows straightforward comparison of technologies and designs on a “performance per carbon” basis, bringing together operational (energy use inputs) and scope 3 (production & materials inputs) carbon, along with workload-aligned performance metrics to compare technologies and systems.

Everyone wants to understand how real applications interact with the devices they develop, but what’s the best way? This presentation will show how you can use BPF to analyze application workload interactions with your device in various systems. It will also go over examples of analysis made possible through this data collection.