Open Source Licensing: Software Freedom and Intellectual Property Law by Lawrence Rosen

Software licenses are like pluggable authentication modules—bad to try to re-implement yourself but important to get right if you want to be secure. Technology attorney Lawrence Rosen offers a manageable introduction to the subject in this book. If you ever have trouble getting the right to use free software at work because of license concerns, buy a copy of this book. If your company is planning to release free software, Open Source Licensing gives you the background to get the most out of your meetings with a lawyer about the license.
This book is a useful field guide to the rights and obligations that the common free software licenses offer and their strengths and weaknesses. It also covers the essentials of copyright and patent law as they apply to software. Rosen also introduces his new licenses, the Open Software License and Academic Free License, which he says fix yet-unexploited legal bugs in older licenses.
For someone who was motivated to write his own set of software licenses, Rosen is generous to the industry-standard GNU General Public License (GPL). He gives the GPL a clean legal bill of health, which makes this book helpful when deciding to use and contribute to GPL-covered software. But he does offer a clear explanation of why a software author would want the additional teeth that his new licenses offer. By binding users to a contract, he lets the licensor set the venue for any lawsuit over the license, insist on attorney's fees and obtain other advantages in court.
This book does an especially good job of covering how the common open-source licenses handle software patent threats and the differences in the patent defense measures in each license. However, it would have been helpful to include a discussion of one approach that patent holders have taken when contributing patented methods to GPL software—offering a patent license separate from the GPL but ostensibly compatible with it. Linux contributions from IBM, Red Hat and FSMLabs are licensed this way, under three different patent grants.
Although the book is strong on the legal side, it's weak on what many consider the overwhelming network effects of the GPL and the advantages of keeping new projects compatible with the existing universe of GPL code. It's surprising that a 2004 book that covers both the Mozilla Public License and the issue of relicensing doesn't mention that Mozilla began relicensing to include the GPL in 2001.
The business decisions about what software license to adopt are yours, and this book's power to dispel Fear, Uncertainty and Doubt about licenses and bring FUD victims into the software commons is invaluable. Reading Open Source Licensing is an ideal first step in the license decision process.
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.
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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?




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