2020 SDC India Abstracts

• Plenary
• Day One Track 1
• Day One Track 2
• Day Two Track 1
• Day Two Track 2

Plenary Abstracts

Looking forward as compute and storage merge  

Jim Handy

Abstract

In the recent past computer architecture has begun on a long journey that will cause a merger of processing and storage, which have historically been separate.  This will accelerate data processing while helping to reduce cost, all the benefit of cost/performance statistics.  This presentation will show how today’s persistent memory is just the beginning of a trend to bring persistence deeper into the processor, first in cache memories, followed by persistent registers within the processor itself.  At the other end of the spectrum we will see how computational storage offloads processor tasks to lighten both processor load and network traffic and learn why this technique makes systems scale in a significantly more linear way.  We will explore other areas that could benefit from this approach but where it has not yet been tried.

Storage Industry: The changing paradigm leading to Computational Storage  

Rohit Srivastava

Abstract

The Storage industry has been witnessing a paradigm shift with the emergence of new and disruptive technologies. In the past three years, the Storage space has witnessed a spurt in areas like all-flash & NVMe, Predictive Storage Analysis, Cloud Storage, Data Protection, IoT Analytics, Computational Storage, and AI-driven Storage. But where did all this begin?  It all started with magnetic disks coming to the fore for filesystems to manage data and deliver performance. SAN brought with it flexibility, sharing, and improved performance. This was followed by ‘Shared Nothing’, which came in with a purpose to divide & conquer, and also to enable parallel processing.

Solid State Drives (SSDs) made an appearance to help cut down service times considerably. By now, the CPUs and buses have experienced a manifold increase in speed. With great development, come greater challenges. The challenge faced by technologists was cutting down the overheads in the IO subsystems and the various kernel processes involved in servicing these IOs. One thing led to the other, and now we have NVMe.

To boost storage performance and exploit the might of NVMe, a mechanism was devised to couple an application directly with the storage subsystem, bypassing the kernel. This led to concerns for data transfer times and hence the initiative to club Compute and Storage together as a unit – resulting in the birth of Computational Storage – the great hybrid with a massive potential to disrupt the market. 

PCIe Gen 5 Testing  

Manoj Vaddineni

Abstract

This presentation will give an introduction and adoption overview of PCIe Gen 5 as well as its technology update. Test scenarios and solutions will also be covered.  

The story of hybrid data management across heterogeneous storage for cloud, core and edge  

Sanil Kumar D and Ashit Kumar

Abstract

Be it any technologies; Be it cloud, edge or on-premise, Data and Data Management are essential services for any solution today. However the challenges due to new technologies, heterogeneous storages, platforms and hybrid environments are mounting. How can we meet these challenges and build a unified data platform that could help us focus on the business solutions without worrying about the data and data management? What are we dreaming and developing under SODA Foundation projects in open source under Linux Foundation?

We will tell you the story of data, challenges, current demands and an open unified data platform which can provide seamless data and storage management across heterogeneous platforms, storages and across cloud, edge and core. We will have live demos to illustrate some of these solutions working to resolve these hybrid/heterogeneous challenges.

We will also discuss the architecture, technical solutions and future plans towards open data autonomy.

Data Mobility Trends  

Prakash Venkat

Abstract

Data Mobility includes a wide range of features ranging from replication, disaster recovery, migration, load balancing along with backup, cloud tiering, archival and in some sense, it involves the entire life cycle of data. Data Mobility is not only concerned about the data being available at the right time/place, but also needs to handle other aspects like security and data integrity, to name a couple. This presentation attempts to capture the broad trends in this space, with a skew towards how Storage Industry is adapting to this feature set, which is also constantly evolving to keep pace with technology advancements.

Next Generation Data Management Capabilities  

Roopesh Chuggani

Abstract

Data is growing exponentially everywhere. With the growth of data, data management is becoming super-critical. All enterprises (small, medium or large) are investing heavily towards managing data at the source of data creation as well as where it is later moved to. Managing the data at the same time processing it with speed is intended by all applications. In this talk we will touch upon data management on the edge devices (where the data gets created), as well as later when it is moved and processed for some business purpose. The world is moving towards every device intelligent enough to create, store, manage, process and move the data across the network of devices or to cloud; we will talk about the next generation capabilities from data management perspective.