Big Data. Big Decisions
InformationWeek
Special Coverage Series


First 100 Gbps Transatlantic Network Taking Shape

The first-ever 100 gigabits per second pipe across the North Atlantic could link U.S. and European research and education communities, but more partners are needed.

9 Bandwidth Hogs: Reality Vs. Myth
9 Bandwidth Hogs: Reality Vs. Myth
(click image for larger view and for slideshow)
It's not here yet, but plans are progressing to deliver the first-ever 100 gigabits per second pipe across the North Atlantic to link U.S. and European research and education communities. That's the plan – but to get there, more partners are needed to flesh out the grand schemes of the idea's two sponsors, DANTE, which runs the pan-European GEANT network, and the America Connects to Europe project (ACE), managed by Indiana University.

DANTE -- which stands for Delivery of Advanced Network Technology to Europe -- is a non-profit organization set up in 1993 to act as a co-ordinator of large-scale projects co-funded by the European Commission. It works in partnership with European National Research and Education Networks (NRENs) to plan, build and operate advanced networks for research and education. Its GEANT -- Geometry and Tracking -- network is a high-speed European communication network dedicated to research and education. In combination with NREN partners, GEANT creates a secure, high-speed research infrastructure that serves 40 million users in over 8,000 institutions across 40 European countries.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The pair say that although some big research projects already are benefiting from the 100-Gbps speeds being offered over the GEANT network, "data flows may suffer in the near future once they reach the Atlantic".

Currently, GEANT and ACE offer over 80 Gbps of transatlantic connectivity. The problem: this is made up of multiple 10-Gbps links, not one single fat pipe. The concern is that this will lead to bottlenecks in the future for prospective 100G users. DANTE wants to replace these over time with multiple 100G links, ensuring that partners in large research projects in radio astronomy, global earth observation, medical research, particle physics and other areas continue to benefit from the best available connectivity.

[ Is Google about to offer mobile broadband? Read Google Silent About Wireless Experiment. ]

Hence its call for "collaborative partners in ground-breaking transatlantic trials," with the goal of running exploratory trials as part of a larger collaborative effort with other research and education networks on either side of the Atlantic. GEANT and ACE hope this might "lead to subsequent production offerings following full procurement" later in 2013.

"GEANT will very soon offer 100 Gbps capacity across the pan-European network, and similar capacity is available in North America," said Cathrin Stöver, chief international relations and communications officer at DANTE in a statement. "We are determined to extend that capacity across the Atlantic in order to stay ahead of the 'data deluge' generated by the research community and avoid bottlenecks in the future."

"By launching this initiative, DANTE is taking the lead in further strengthening links with North America, and ensuring GÉANT remains at the heart of the global research village."

Attend Interop Las Vegas, May 6-10, and attend the most thorough training on Apple Deployment at the NEW Mac & iOS IT Conference. Use Priority Code DIPR03 by March 9 to save up to $500 off the price of Conference Passes. Join us in Las Vegas for access to 125+ workshops and conference classes, 350+ exhibiting companies, and the latest technology. Register for Interop today!



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.