With the growth of Containerized applications and Kubernetes as an orchestration layer, the ability to leverage these technologies within the storage device directly adds additional support to the implementation and parallel processing of data. By using an os-based Computational Storage Drive (CSD), a deployment of SPARK will be presented and the steps required to achieve this task. The ability to use a distributed processing operation and orchestrate it with the Host and the CSDs at the same time to maximize the benefits of the application deployment.

In this presentation the Co-Chairs of the Computational Storage Technical Working Group (CS TWG) will provide a status update from the work having been done over the last year, including the release of the new Public Review materials around Architecture and APIs. We will update the status of the definition work and address the growing market and adoption of the technology with contributions from the 47+ member organizations participating in the efforts. We will show use cases, customer case studies, and efforts to continue to drove output from the Technical efforts.

Data centers are under pressure. Competing needs for asset homogenization, supporting specialized workloads and delivering predictable performance lead to deployment tradeoffs that drive down data center utilization and drive up costs. Businesses need to continue to innovate, but budgets rarely reflect as such. A "one Cloud fits all" is expensive or simply does not work, but the same flexibility of the Cloud is essential as workloads repatriate to containers on bare metal.

If you’ve heard about the SNIA Swordfish open industry storage management standard specification and want to get a technical overview, this presentation is for you. This presentation provides a broad look at the Redfish and 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) and the Redfish Forum.

If you haven’t caught the new wave in storage management, it’s time to dive in and catch up on the latest developments of the SNIA Swordfish™ specification. These include: - Expanded support for NVMe and NVMe-oF Devices - Managing Storage Fabrics - Standardized Capacity and Performance Metrics Management

The SNIA Swordfish Conformance Test Program enables manufacturers to test their products with a vendor-neutral test suite and validate conformance to the SNIA Swordfish specification. Swordfish implementations that have passed CTP are posted on the SNIA website; this information is available to help ease integration concerns of storage developers and increase demand for available Swordfish products. This session will provide an overview of the program, what functionality implementations and base requirements are needed for implementations to pass Swordfish CTP.

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.

Polled mode applications such as the Storage Performance Development Kit (SPDK) NVMe over Fabrics target can demonstrate higher performance and efficiency compared to applications with a more traditional interrupt-driven threading model. But this performance and efficiency comes at a cost of increased CPU core utilization when the application is lightly loaded or idle. This talk will introduce a new SPDK scheduler framework which enables transferring work between CPU cores for purposes of shutting down or lowering frequency on cores when under-utilized.

Computational Storage is a new field that is addressing performance and scaling issues for compute with traditional server architectures. This is an active area of innovation in the industry where multiple device and solution providers are collaborating in defining this architecture while actively working to create new and exciting solutions. The SNIA Computational Storage TWG is leading the way with new interface definitions with Computational Storage APIs that work across different hardware architectures.

SATA multi-actuator drives appear as a single drive to the system stack, yet all IO is addressed to LBA ranges on each actuator. Linux IO schedulers must be aware of this geometry via log pages in ATA Command Set –5 and then optimize behavior to ensure that actuators are kept busy. Legacy IO scheduler behavior can lead to underutilized actuators, delayed IO completion resulting in poor performance.