Infrastructure offload based around NVMe-oF can deliver performance of direct attached storage with the benefits and composability of shared storage. Storage Performance Development Kit (SPDK) is a set of drivers and libraries uniquely positioned to demonstrate how projects like Infrastructure Programmer Development Kit (IPDK) can provide vendor agnostic high performance and scalable framework. This session will discuss how the SPDK NVMe-oF target has evolved to enable infrastructure offload.

The Storage Performance Development Kit (SPDK) provides a high-performance NVMe/TCP target that scales very well. As the SPDK NVMe/TCP target gains broader adoption, providing strong error detection using the data digest to protect the NVMe/TCP Protocol Data Units (NVMe/TCP PDUs) is very important. Can the SPDK community implement the data digest at high network throughputs efficiently?

We examine the benefits of using computational storage devices like Xilinx SmartSSD to offload the compression to achieve an ideal compression scheme where higher compression ratios are achieved with lower CPU resources. This offloading of compute intensive task of compression frees up the CPU to cater to real customer applications. The scheme proposed in this paper comprises of Xilinx Storage Services (XSS) with Xilinx Runtime (XRT) software and HLS based GZIP compression kernel that runs on the FPGA.

"There has been tremendous growth in the use of smartphones. Today, there are more than 130 million Android users in the world. Android smartphones leverage flash storage. Flash is great for supporting fast random I/O workloads but due to wear leveling, there is an impact on the life of the underlying flash device. There are strategies that can be used to improve the lifespan of flash storage on smartphones.

Connecting remote storage to compute node requires adding and configuring software stacks for “storage over network” in the compute node. The storage software consumes significant number of cores on the compute node. The complexity and workload can be moved to Infrastructure Programming Unit (IPU) devices. IPU cores enable developing flexible software that can further be accelerated using hardware offloads for storage workloads. The session will discuss target agnostic frameworks and storage use cases which may be easier to deliver with devices like IPU.

Introduce the characteristics of ZNS SSDs and current Linux SW ecosystem for ZNS SSDs. Describe an adapter xZTL that enables the host to access ZNS SSDs easily. We adopt xZTL to Percona and benchmark by sysbench. The results show that xZTL improves TPS of ZNS SSD by 14% – 90% and reduces latency (p99) by 19% – 47% compared with conventional SSD of identical hardware.

Samsung recently contributed Poseidon project, which is an OCP-based industry collaboration between component vendor (Samsung), system vendor(Inspur) and data center.

Poseidon is an open-source storage software and hardware platform for NVMe-oF based systems. It's an EDSFF based storage reference system, targeted for performance and density, suitable for cloud data center.

Today cloud service providers (CSP) are constantly challenged with large volumes of data and increasing demand from customers for cost effective storage.

The major Cloud Providers such as VMWare, Microsoft and Google provide workload suites to deploy and manage container microservices and cloud storage through data models. Each of the vendor has their own storage model and format of storage(file, block). Meeting all of the requirements for a multi-cloud storage deployments with a generic cloud solution is challenging due to differences in the details of the models and behaviors across the Cloud Providers as well as the distributed nature of the configurations and deployments.

Soon you will be able to boot across a network with attached computers using NVME over Fabrics. This capability is often called Boot from SAN. Currently, successful storage networking technologies such as Fibre Channel and iSCSI have standardized solutions that allow attached computer systems to boot from OS images stored on attached storage notes. The lack of this capability in NVMe-oF architecture presents a barrier to adoption.

DNA lacks many key attributes found in other traditional storage media types including locality and addressability. The Rosetta Stone workgroup is aiming to solve the issue of enabling archive readers to understand key metadata about the archive and position them to be able to consume its contents. This session will provide an overview of where the Rosetta Stone workgroup is in the process of creating a recommended approach for this issue.