The Morning Paper Issue 4 - Computer Science Applied
The idea of The Morning Paper blog is simple: every weekday I take a computer science research paper and write it up as a post. If you prefer to have the day's paper delivered straight to your inbox, there's an option to subscribe to a mailing list as well. On the blog, you'll find a mix of past papers and current research results. I cover a fairly wide range of topics, but with a bias towards distributed systems and data. The blog grew from my habit of reading research papers during my commute time - I figured they'd give me much more lasting value than the newspapers many of my fellow commuters were reading! Reading papers has been a wonderfully beneficial activity for me (see my QCon London keynote if you're interested in learning more about this), and I very much hope that you'll get enjoyment and benefit from learning about some of the wonderful developments being made in computer science too.
Over the course of a year, subscribers to the blog will be exposed to just over 200 papers and ideas on average. Of course, not everyone will have the time to read all 200 posts! So when Charles Humble from InfoQ approached me with the idea of putting together a quarterly eMag highlighting some of my favourite papers/posts from the quarter, I jumped at the chance. The result is the eMag you're reading now. I hope the papers I've chosen inspire you to dig deeper into the wonderful world of computer science.
The Morning Paper Issue 4 - Computer Science Applied eMag include:
- Simple testing can prevent most critical failures
- Towards deep symbolic reinforcement learning
- When CSI meets public wifi: inferring your mobile phone password via wifi signals
- Kraken: Leveraging live traffic tests to identify and resolve resource utilisation bottlenecks in large scale web services
- Morpheus: towards automated SLOs for enterprise clusters
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