Big Data. Big Decisions
InformationWeek
Special Coverage Series


EMC Enhances Flagship Storage Arrays

Updates to VMAX 10K include increased performance, better virtualization and disk drive intermix.

EMC on Monday enhanced its flagship VMAX storage array with support for new processors, a new storage interconnect, mixed drive configurations and updates to its Enginuity operating system.

The enhancements are to the VMAX 10K, the entry-level VMAX array and EMC's array for small to mid-size enterprises. Two other higher-end VMAX's that are also part of this family -- the VMAX 20K and the VMAX 40K -- already support most of these enhancements.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The new VMAX 10K is 90% faster in running Oracle in VMware virtualized environments and contains 50% more processor cores than previous models, according to EMC. It uses 12 Intel 2.8GHz Westmere 6 Core CPUs for performance enhancements and a new Virtual Matrix Interconnect, which is 10% faster than previous models, EMC says. (Previously, the 10K used eight 2.4GHz Westmere CPUs.)

The Virtual Matrix Interconnect, which is common to all VMAX models, allows scaling of system resources by combining VMAX 10K engines. Each 10K engine or controller consists of two directors and redundant interfaces to the Interconnect. The two directors each consolidate front-end, global memory and back-end functions, allowing direct memory access to I/O operations.

[ How has EMC responded to the rise of non-structured data and Flash-based storage? See EMC's Storage Strategy. ]

A combination of the Westmere CPUs and the Virtual Matrix Interconnect account for twice the back-end IOPS and a 30% increase on front-end bandwidth, according to the company. This increased performance means that the VMAX 10K can handle more workloads, higher capacity can be supported and advanced technologies, such as replication, will have less impact on the system, EMC says.

The VMAX 10K can support up to eight controllers, each with as much as 512GB of cache memory. The VMAX 10K can start small as well, configured with only a single storage engine and 24 drives.

In addition, the VMAX 10K now supports mixed configurations of 2.5-inch and 3.5-inch drives and support for denser 2.5-inch drives, allowing a 33% reduction in size and weight over 3.5-inch drives. As many as 1,560 2.5-inch and 3.5-inch drives or as many as 1,200 2.5-inch drives can be configured in a VMAX 10, for a maximum useable capacity of 1.5PB. Further, the VMAX 10K supports Federated Tiered Storage, which allows third-party storage to be managed by the VMAX. This consolidation allows storage administrators to integrate old or stranded storage as well as enterprise multi- and single-level cell Flash memory with the VMAX.

The VMAX 10K also now supports Data-at-Rest Encryption, which encrypts data on all drive types. The encryption is AES256 fixed block, which has no performance impact.

EMC enhanced the rest of the VMAX family with a new feature called Host I/O Limits. With this feature, storage administrators can choose how many IOPs or how much bandwidth is allocated for each application or user. For instance, applications such as databases require more performance than applications such as email.

The company also integrated its EMC Unisphere management platform with VMware, VFCache, IPv6 and Windows 2012.

Compression of inactive data has been added through enhancements to the Enginuity operating system. This compression can result in a 2:1 capacity savings, EMC says. Compression can be controlled by the storage administrator setting a threshold, which starts the compression process.

Finally, the VMAX 10K supports not only EMC racks but also third-party racks, allowing customers to standardize their data center designs.

Our four business scenarios show how to improve disaster recovery, boost disk utilization and speed performance. Also in the new, all-digital Storage Virtualization Gets Real issue of InformationWeek SMB: While Intel remains the biggest manufacturer of chips in the world, the next few years will prove vexing for the company. (Free registration required.)

Deni Connor is founding analyst for Storage Strategies NOW, an industry analyst firm that focuses on storage, virtualization, and servers.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.