Increasing proliferation of Artificial Intelligence, E-commerce, Big Data and Cloud applications is leading to highly diversified workloads and use cases in hyperscale data centers, which poses new challenges to solid state storage in terms of performance, flexibility and TCO optimizations. Moreover, there are increasing demands for software/hardware co-optimization and more control over I/O path from applications. Standard SSDs that are tuned for a few generic workloads cannot meet these challenges, resulting in suboptimal performance and TCO.

All flash arrays incorporate a number of data reduction techniques to increase effective capacity and reduce overall storage costs. Compression and deduplication are two commonly employed techniques, each with multiple different strategies for implementation. Because compression and data reduction are only part of a greater data reduction strategy, one must also understand their codependent interactions with the rest of a storage system. This talk presents a structured overview of multiple different compression and deduplication technologies.

Whether you’re considering an all-flash or hybrid storage array, you should expect fast, predictable performance. However, two common obstacles – latency spikes and resource contention –can impact hybrid and all-flash array performance, causing applications to not meet their service levels. Storage Quality of Service (QoS) functionality is now considered a ‘must have’ feature for delivering predictable, consistent performance in flash-based arrays.

With the increased popularity of flash technologies, flash-based solutions such as all-flash arrays and PCIe-based flash servers promise significant performance improvement for online transaction processing (OLTP) databases. However, applications have to be cognizant of the complexities of flash-based technologies and must adapt to extract the maximum benefit from these technologies. This session offers an inside view of how Oracle has embraced flash in its architecture to deliver DRAM level performance with increased availability.

Hyperscaler companies as well as large enterprises who build their own datacenters have specific requirements for new features in storage drives. The SNIA Technical Council has created a white paper on these requirements and how current and future standards and open source projects can address them. This talk will present the results of the the TC research in this area and discuss how SNIA and other standards bodies are making changes to accommodate them.

Large Datacenter customers are known as Hyperscalers. Nearly all of these customers build their own storage systems using Software Defined Storage (SDS) and commodity components, assembled in racks. Managing this large pool of commodity components has proved challenging and several issues have been identified that could be addressed by new features on these storage components. This paper discusses these requirements and how existing standards and proposed changes to standards might address them.

Hyperscaler storage customers have always built their own storage systems from commodity components. Now enterprises are following suit, disrupting the traditional enterprise storage market. This paper explores that trend and highlights real-world methods enterprises are using to build their own hyperscale storage environments to ensure scalability, improve agility, avoid vendor lock-in and lower costs. This paper is the work of a joint effort by the SNIA Cloud Storage Initiative (CSI) and the Data Protection and Capacity Optimization (DPCO) committee.

Hyperconverged infrastructures combine compute, storage and networking components into a modular, scale-out platform that typically includes a hypervisor and some comprehensive management software. The technology is usually sold as self-contained appliance modules running on industry-standard server hardware with internal HDDs and SSDs. This capacity is abstracted and pooled into a shared resource for VMs running on each module or ‘node’ in the cluster.

Honeywell has implemented Hyper Converged and Converged Storage Platforms for entire SAP landscape recently. This presentation will outline our journey over the last few years to discuss how we are adopting the industry trends w.r.t to storage platforms and offerings from various vendors.

Performance is very critical for running large scale ERP systems like SAP. Using HCIS and HC storage platforms, we are able to address the performance, HA and DR requirements.

In October 2016 three new system interconnect consortia emerged that could change the way persistent memory is integrated. Although their value propositions differ their combined effect relates to the scale of memory systems and the way memory integrates with computation and storage. This session summarizes the motivation and direction taken by the Gen-Z, Open CAPI,and CCIX consortia and how they might affect persistent memory.