Concurrency: Past and Present
Brian Goetz discusses the difficulties of creating multithreaded programs correctly, incorrect synchronization, race conditions, deadlock, STM, concurrency, alternatives to threads, Erlang, Scala.
Tracking change and innovation in the enterprise software development community
Posted by Steven Robbins on May 22, 2008 07:55 PM
As more social networking sites are popping up, the questions around the data they keep are rising. Data portability has become the watch phrase across the Web 2.0 world. Is there something to be learned about data access and portability from these services?The DataPortability Project is a group created to promote the idea that individuals have control over their data by determining how they can use it and who can use it. This includes access to data that is under the control of another entity.DataPortability listed the main points of their philosophy as:
The challenge that the Data portability movement is attempting to address is closely paralleled by the evolution of the Personal Health Record in the healthcare industry. We will want to own our own health information, but we will need to be able to share that information with medical providers and others. We will need a universal ability to share information, but share it securely. At the same time the process of managing access will need to be easy. We can learn an awful lot from the simple approaches that characterize OpenID, OAuth, microformats and other pervasive technologies that have succeeded on the Web.
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Brian Goetz discusses the difficulties of creating multithreaded programs correctly, incorrect synchronization, race conditions, deadlock, STM, concurrency, alternatives to threads, Erlang, Scala.
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