Android or WebOS? Try before you buy!
This article will help you run two of these (Android and WebOS) as virtual appliances using VirtualBox. In the first part of the article I'll cover Android, in part two (now available), I'll cover WebOS.

In this article, I will be using: Ubuntu 9.04 and VirtualBox (the most recent version is 3.0.8- download it here)
This tip is pretty distro- and OS- independent, though. You could run this appliance on any other distro, or even Windows, if that's the way you butter your bread.

This article piggybacks on the "Put Android Anywhere" article that was featured in the October 2009 issue of Linux Journal, as it mentions running Android in VirtualBox using the "Porting Android to x86" project (http://www.android-x86.org/). I will perform the same task using the Live Android Google Code project. (http://code.google.com/p/live-android/).
Go to the Live Android Google Code Project and download the latest liveCD (0.3 as of this writing. Torrent available here.)
Make a new virtual machine in VirtualBox. Call it "Android" or some other witty name if you are motivated to do so.
Choose the Base Memory Size. VirtualBox defaults to 256MB. Since the HTC Dream (AKA the T-Mobile G1) has only 192 MB Megs of RAM, I figured that this is probably enough.
VirtualBox asks you to select a virtual hard disk. Since we are running Android from a live CD, we don't need one. Uncheck the box to choose a virtual disk, and check "Continue" when the warning box comes up.

Finish creating your virtual appliance, then select "Android" (or whatever your machine name is) from the main VirtualBox window, and click the "Settings" button.
Go to the CD/DVD-ROM section and check "Mount CD/DVD Drive", then select "ISO Image File". Click the folder icon to the right and select the "liveandroidv0.3.iso" file that you just downloaded. Press 'OK".

Click "Start" to start your Android virtual appliance.
Since VirtualBox automatically configures a working Internet connection, feel free to stop by the Linux Journal Website using your shiny new Android Virtual Appliance!

Since it is a live CD, you don't get the resolution of a normal Android phone device, but at least you can kick the tires of the OS. In Part Two we'll look at WebOS.
Linux rocks! Personal blog: zootlinux.blogspot.com
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- Designing Electronics with Linux
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Dynamic DNS—an Object Lesson in Problem Solving
- Using Salt Stack and Vagrant for Drupal Development
- Build a Skype Server for Your Home Phone System
- New Products
- Why Python?
- Validate an E-Mail Address with PHP, the Right Way
- A Topic for Discussion - Open Source Feature-Richness?
- Tech Tip: Really Simple HTTP Server with Python
- Great
28 min ago - Reply to comment | Linux Journal
36 min 1 sec ago - Understanding the Linux Kernel
2 hours 50 min ago - General
5 hours 20 min ago - Kernel Problem
15 hours 23 min ago - BASH script to log IPs on public web server
19 hours 50 min ago - DynDNS
23 hours 26 min ago - Reply to comment | Linux Journal
23 hours 58 min ago - All the articles you talked
1 day 2 hours ago - All the articles you talked
1 day 2 hours ago
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



Comments
A couple of broken links
The first and third image have broken links.
1) http://www.linuxjournal.com/ufiles/android-webos/large/large/android-pal...
Apparently it's two large :-)
2) http://www.linuxjournal.com/ufiles//ufiles/android-webos/large/VirtualHa...
Apparently ufile two deep :-)
LC
Fixed
Just an editor snafu on my part, fixed now.
Mitch Frazier is an Associate Editor for Linux Journal.
Still broken
Some links do not seem to end in the right places.