Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary


Java and OSGi



The Open Services Gateway initiative (OSGi) is a component model for Java that defines a standard method to manage standalone Java applications. Users of the Java EE specification understand the benefit of a standard model for the deployment, restart, and upgrade of enterprise applications. However, until the OSGi was formed, this was missing for Java SE applications. The OSGi Alliance, which is comprised of a group of software vendors, such as Ericsson, IBM, Sun, Oracle, and many others, are responsible for its ongoing definition. Take a look at osgi.org/About/Members for a full list.

One of the most popular OSGi-compliant software packages available is Eclipse. The component model is used for the Eclipse plug-in implementation, and provides a standard model for developers to build new Eclipse extensions. OSGi also allows Eclipse to be dynamically updated via software downloads. Further, OSGi defines a software lifecycle model, a registry to post and locate new modules, and a security model.

iPronto

Other products based on OSGi incude Philips' iPronto device, which is meant for home audio, video, and security automation (see http://www.pronto.philips.com). This neat wireless device comes with a 6.4" LCD screen, lots of connectivity options, and is based on Linux, Java, and the OSGi component model. In fact, iPronto is part of the Pronto is a family of products that includes control panels, receivers, handsets for the home, and remote controls. OSGi allows the software on the devices to be extended through a standard plug-in model, opening the door to third-party software, and a potential ecosystem around Pronto.

SpringSource

A new entry in the OSGi mix is SpringSource, which has released its SpringSource dm Server. It's a completely modular OSGi-based Java application server (not Java EE applications server), built with Tomcat and the Spring Framework, to deploy Spring applications on (see http://www.springsource.com/products/suite/dmserver). With OSGi, dm Server offers a standalone component model and management system without committing to the entire, bloated, Java EE specification. With OSGi, there's also better support for dynamic application updates to running servers, which don't require the restart of the running systems. This creates a more stress-free upgrade path for organizations that need to offer 24x7 application uptime. 

Perhaps the biggest productivity gain is that it also makes development and debugging easier, as it integrates with development environments, and doesn't require the constant shutdown, copy, startup and wait, debug cycles that Java EE-based development does.

Following a period of time of slow growth, OSGi appears to be taking off. I'm sure you'll increasingly find this Java component model used in software products across the Java ecosystem.

Happy coding!
-EJB


Related Reading


More Insights




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.