Video Analytics Q&A

There is a new wave of cognitive services based on video and image analytics, leveraging the latest in machine learning and deep learning. In a recent SNIA Cloud Storage Technologies Initiative (CSTI) webcast “How Video Analytics is Changing the Way We Store Video,” we looked at some of the benefits and factors driving this adoption, as well as explored compelling projects and required components for a successful video-based cognitive service. This included some great work being done in the open source community. In the course of the presentation, there were several discussion points and questions that arose. Our SNIA presenters, Glyn Bowden from HPE and Kevin Cone from Intel provide the answers. Read More

Questions on Securing Data in Transit Answered

Data in transit provides a large attack surface for bad actors. Keeping data secure from threats and compromise while it’s being transmitted was the topic at our live SNIA Networking Storage Forum (NSF) webcast, Securing Data in Transit. Our presenters, Claudio DeSanti, Ariel Kit, Cesar Obediente, and Brandon Hoff did an excellent job explaining how to mitigate risks. We had several questions during the live event. Our panel of speakers have been kind enough to answer them here. Q. Could we control the most important point – identity, that is, the permission of every data transportation must have an identity label, so that we can control anomalies and misbehaviors easily? Read More

Compute Everywhere – Your Questions Answered

Recently, the SNIA Compute, Memory, and Storage Initiative (CMSI) hosted a wide-ranging discussion on the “compute everywhere” continuum.  The panel featured Chipalo Street from Microsoft, Steve Adams from Intel, and Eli Tiomkin from NGD Systems representing both the start-up environment and the SNIA Computational Storage Special Interest Group. We appreciate the many questions asked during the webcast and are pleased to answer them in this Q&A blog. Read More

Implications of Internet of Payments Q&A

Internet of Payments (IoP) enables payment processing over many kinds of IoT devices and has also led to the emergence of the micro-transaction. It’s an area of rapid growth. Recently, the SNIA Cloud Storage Technologies Initiative (CSTI) hosted a live webcast Technology Implications of Internet of Payments. The talk was hosted by me, with Glyn Bowden from HPE and Richard George from HLPS providing expert insight. In the course of the conversation, several comments and questions arose, and they are summarized here. Feel free to view the entire discussion and provide us with feedback on the talk. We are also always interested on topics you’d like to see us cover in the future. Q. When considering digitization of assets, currency is not locked to a solid standard. That is, they are not based on specific physical assets. Many new digital currencies are therefore unstable. But the proposition here is that they would be more secure because they’re locked to real physical value. Is that correct? Read More

5G Streaming Questions Answered

The broad adoption of 5G, internet of things (IOT) and edge computing are reshaping the nature and role of enterprise and cloud storage. Preparing for this significant disruption is important. It’s a topic the SNIA Cloud Storage Technologies Initiative covered in our recent webcast “Storage Implications at the Velocity of 5G Streaming,” where my colleagues, Steve Adams and Chip Maurer, took a deep dive into the 5G journey, streaming data and real-time edge AI, 5G use cases and much more. If you missed the webcast, it’s available on-demand along with a copy of the webcast slides.

As you might expect, this discussion generated some intriguing questions. As promised during the live presentation, our experts have answered them all here.

Q. What kind of transport do you see that is going to be used for those (5G) use-cases?

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Why Cloud Standards Matter

Effective cloud data management and interoperability is critical for organizations looking to gain control and security over their cloud usage in hybrid and multicloud environments. The Cloud Data Management Interface (CDMI™), also known as the ISO/IEC 17826 International Standard, is intended for application developers who are implementing or using cloud storage systems, and who are developing applications to manage and consume cloud storage. It specifies how to access cloud storage namespaces and how to interoperably manage the data stored in these namespaces. Standardizing the metadata that expresses the requirements for the data, leads to multiple clouds from different vendors treating your data the same. Read More

A New Wave of Video Analytics

Adoption of cognitive services based on video and image analytics is on the rise. It’s an intriguing topic that the SNIA Cloud Storage Technologies Initiative will dive into on December 2, 2020 at our live webcast, “How Video Analytics is Changing the Way We Store Video.” In this webcast, we will look at some of the benefits and factors driving this adoption, as well as explore compelling projects and required components for a successful video-based cognitive service. This includes some great work in the open source community to provide methods and frameworks, some standards that are being worked on to unify the ecosystem and allow interoperability with models and architectures. Finally, we’ll cover the data required to train such models, the data source and how it needs to be treated.

 

As you might guess, there are challenges in how we do all of this. Read More

NVMe Key-Value Standard Q&A

Last month, Bill Martin, SNIA Technical Council Co-Chair, presented a detailed update on what’s happening in the development and deployment of the NVMe Key-Value standard. Bill explained where Key Value fits within an architecture, why it’s important, and the standards work that is being done between NVM Express and SNIA. The webcast was one of our highest rated. If you missed it, it’s available on-demand along with the webcast slides. Attendees at the live event had many great questions, which Bill Martin has answered here: Q. Two of the most common KV storage mechanisms in use today are AWS S3 and RocksDB. How does NVMe KV standards align or differ from them? How difficult would it be to map between the APIs and semantics of those other technologies to NVMe KV devices? A. KV Storage is intended as a storage layer that would support these and other object storage mechanisms. There is a publicly available KVRocks: RocksDB compatible key value store and MyRocks compatible storage engine designed for KV SSDs at GitHub. There is also a Ceph Object storage design available. These are example implementations that can help an implementer get to an efficient use of NVMe KV storage. Q. At which layer will my app stack need to change to take advantage of KV storage?  Will VMware or Linux or Windows need to change at the driver level?  Or do the apps need to be changed to treat data differently?  If the apps don’t need to change doesn’t this then just take the data layout tables and move them up the stack in to the server? Read More

A SNIA Superpower: PAS submitter to ISO

SNIA’s Technical Council is one of the crown jewels of the organization. Made up of a group of acknowledged storage experts, the Technical Council oversees and manages SNIA Technical Work Groups, reviews architectures submitted by work groups, and is SNIA’s technical liaison to standards organizations. One of the Council’s superpowers is its ISO JTC-1 designation as an ARO and a PAS submitter. What does that actually mean? It’s a very big deal! SNIA is only one of 13 organizations worldwide that have the PAS submission capability, putting it in exclusive company. The list includes: Read More

Data Compression Q&A

Everyone is looking to squeeze more efficiency from storage. That’s why the SNIA Networking Storage Forum hosted a live webcast last month “Compression: Putting the Squeeze on Storage.” The audience asked many great questions on compression techniques. Here are answers from our expert presenters, John Kim and Brian Will: Q. When multiple unrelated entities are likely to compress the data, how do they understand that the data is already compressed and so skip the compression? A. Often they can tell from the file extension or header that the file has already been compressed. Otherwise each entity that wants to compress the data will try to compress it and then discard the results if it makes the file larger (because it was already compressed). Read More