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Content Centric Applications

NetApp
NetApp
NetAppAccount Supervisor at Voce Communications, a Porter Novelli Company

The next generation of computing for content centric application will require even greater responsiveness and performance as well as a resiliency that may not have been demanded previously. Storage systems for these workloads must deliver high performance and reliability while meeting strict price – performance levels and come from a known, premier storage supplier.

Content Centric Applications

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Content Centric Applications




                                              Technology Insight Series
 Russ Fellows
 February, 2012




                               Eva lua t o r Gr oup
Content Centric Applications
 




 

 

Page 1 of 8          Copyright 2012, Evaluator Group, Inc. 

                
 
Content Centric Applications
 


Executive Summary 
The way in which businesses process, analyze and utilize information is changing, and with these 
changes comes an evolution in information technology.  A new type of application is developing that in 
conjunction with some existing, specialized usages requires storage systems with characteristics aligned 
with those applications.  The Evaluator Group calls that type of application content centric where the 
storage system works with the applications to exploit previously untapped information and business 
models.  Traditional process centric applications are those where features of the storage system are 
exploited for operational benefit.  Content centric applications are emerging or exist in many industries 
including energy with seismic analysis, entertainment including full‐motion video, medical for streaming 
images, government with unique requirements in high performance computing and others.   

These new applications require a new architecture, designed and optimized to process and analyze the 
vast amounts of content now available.  While existing business applications continue to grow, content 
centric applications are dramatically increasing and place greater demands on performance and 
responsiveness from the storage system.  Content centric applications such as video surveillance are 
driving capacity increases due to high resolution cameras as well as more surveillance operations.  
Research reports published estimate a 20.4% CAGR in content centric capacity through 2015.  In media 
and entertainment content centric applications, the required digital storage capacity is increasing 7.7X 
from 2011 to 2016 due to the use of higher resolution cameras and 3D content.  In the healthcare 
industry with radiological images, new modalities (such as CT scanners) are increasing in resolution and 
captured information.  As an example, new CT scanners are requiring 1GB per image storage compared 
to 10 to 50MB for the previous generation.          

 

               The next generation of computing for content centric application will require even 
               greater responsiveness and performance as well as a resiliency that may not have 
               been demanded previously.   Storage systems for these workloads must deliver 
               high performance and reliability while meeting strict price – performance levels 
               and come from a known, premier storage supplier.  



The Role of Storage in a Changing Workload 
There are several transformations occurring that are driving these shifts in computing.  Processing of 
information that was relegated to high performance computing previously is becoming a mainstream IT 
operation.  Content centric applications depend upon a high performance architecture and require 
storage systems designed with a light‐weight set of features that do not comprise performance for the 
additional capabilities.  These architectures also enable greater availability without imposing cost or 
performance burdens.   

Storage systems designed for high‐bandwidth, low latency and low cost computing are some of the 
criteria required for the content centric computing.  While existing transaction based processing on 
bounded data sets will continue; the recent growth in IT has come from systems designed for content 
centric applications.   

Page 2 of 8                                                                 Copyright 2012, Evaluator Group, Inc. 

 
Content Centric Applications
 
Delivery of content and other media is being driven by new demands from consumers and business alike 
for rich content.  The amount of data and the applications designed to process and analyze these data 
sets need to meet narrow performance and price guidelines that general IT storage systems have 
difficulty in meeting.  In each instance, storage requirements are unique and distinctly different from 
traditional IT and transactional processing.  These environments require single storage systems that can 
grow to multiple petabytes and deliver high levels of availability and performance.  The general 
requirements for storage by content centric applications include: 
          High speed access to data with minimal latency and overhead 
          Ability to scale to meet capacity demands 
          Simplicity of access to allow content centric application to control management, data 
             movement, and protection 
          Cost effectiveness where the capability for additional features does not carry a cost penalty. 




                                                                                                             

Need for Efficient Storage 
Storage systems that meet the requirements for content centric applications still must be efficient to 
minimize cost and maximize performance.  The efficiencies come in a number of areas and the value 
gets amplified as more capacity is required.  There are limits to how large a single system can grow.  
Attempting to add multiple large systems together often results in inefficiencies, leading to cost 
structures that are too high to support the new models of IT computing.  Storage for content centric 
computing must be highly efficient in order to meet performance demands.  The efficiency of storage 
systems is measured in several ways including: 
          Capital costs of each system 
          Operational costs of systems (with a focus on power and cooling) 
          Performance (measured by throughput, along with I/O’s per second in some cases) 



Page 3 of 8                                                                   Copyright 2012, Evaluator Group, Inc. 

                                                          
 
Content Centric Applications
 
Efficient storage systems must be designed from the onset to solve the needs of a particular class of 
workloads, those demanding efficiency, performance, and now the need for reliability.   

               NetApp has a focus on creating more efficient storage systems which started with 
               the FAS systems and is continued with the E‐Series.  

Lower Cost and Complexity ­ Greater Performance 

The new generation of applications such as video content, streaming media, Big Data and cloud 
infrastructure has different requirements than traditional IT.   

Data analytics and Big Data processing applications are designed with a different philosophy than in the 
past.  This class of problems can be broken into multiple pieces and analyzed in parallel, independent of 
other analyses.  These applications typically operate using a “MapReduce” model that maps or breaks a 
problem apart, distributes it to processing elements, and finally collects results therefore reducing the 
data.  This model is common for Big Data analytics and requires high‐speed processing with direct access 
to storage with lower overhead for greater performance.     

Reliability and Content Centric Application 

A critical difference between research processing and new content centric applications is their 
importance to businesses.  As these applications move into the mainstream of business processing, the 
need for reliability also increases.  These applications often developed from laboratory research 
environments with a more relaxed view of reliability; the jobs could simply be restarted.  With more 
business criticality, the reliability, availability and serviceability (RAS) aspects of the entire system 
become critical.  As an example, a problem in a storage system that was not highly reliable or available 
may require the analysis to be run again which would be acceptable in a research environment.  In a 
business environment where the results are used in driving decisions and other business criteria, the 
delays caused by problems in a less robust system would have a financial impact.     

Integration into Operational Environments 

Storage platforms such as NetApp’s FAS and V series have a long history of delivering high levels of 
business application integration features, as well as addressing multiprotocol and multi‐tenant needs.  
These unified platforms are industry leading in their support of data management and data protection 
capabilities and in particular, for the high levels of integration between NetApp FAS / V and business 
applications for process centric information in a traditional or clustered environment.   

These feature rich storage platforms are designed for process centric applications such as MS Exchange, 
SQL Server, SharePoint, as well as Oracle, SAP and other applications that benefit from integrated data 
protection features.  These traditional workloads rely upon finite sets of structured data, and have 
different requirements from emerging content centric workloads.   

In contrast, a growing number of workloads demand high bandwidth access to data, providing their own 
data protection, redundancy or other data management capabilities.  These applications do not benefit 
from feature rich storage designed for traditional workloads.  Performance is critical to the design of 
applications such as video content, parallel filesystems based on Lustre, seismic processing or analytic 
processing with Hadoop.   


Page 4 of 8                                                               Copyright 2012, Evaluator Group, Inc. 

 
Content Centric Applications
 




                                                                                                 


The E­Series Heritage 
Design and Architecture 
The NetApp E‐Series has a long history of innovation, including contributing to the development of the 
SCSI block protocol, delivering the multi‐disk controller using RAID techniques, and providing multiple 
RAID levels on a system.  More recent leading technologies include early Fibre Channel RAID system, 
native InfiniBand connectivity and early endorsement of SPC‐1 storage benchmark results.  

NetApp is continuing this heritage of innovation on the E‐Series with further advancements including 
faster interface technology.  Continued development of features, packaging, scalability and performance 
features needed for the new generation of data intensive applications are expected, enhancing the 
opportunity with the already half million systems in use.   

The E‐Series includes integrated capabilities for data protection and movement of replicated copies of 
data that can be externally managed by content centric applications.  

Performance 
Attaining high performance for content centric applications relies upon fast access to disks without 
bottlenecks.  Cache can help improve performance for some workloads, but some high bandwidth 
applications rely upon direct access to the underlying media.  This is in contrast to more traditional 
transaction or business processing applications that often benefit from large data caches or tiering of 
data.     

Providing the industry’s highest speed connections through FC, InfiniBand, SAS, and 10Gb/s iSCSI allows 
E‐Series systems to communicate over high speed links with the least amount of latency while 
integrating in the network of choice.  This design is used for distributed compute clusters, SAN 
filesystems, data analytics and other content centric applications.   




Page 5 of 8                                                                Copyright 2012, Evaluator Group, Inc. 

                                                       
 
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