Reliable Distributed Algorithms, Part 1

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Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

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Course Description

This course is the first course in a series of two. Both courses provide a solid foundation in the area of reliable distributed computing, including the main concepts, results, models and algorithms in the field.

Today's global IT infrastructures are distributed systems; from the Internet to the data-centers of cloud computing that fuel the current revolution of global IT services. At the core of these services you find distributed algorithms.

These algorithms run on multiple computers and communicate only by sending and receiving messages. It is crucial for the implemented services to continue to work 24/7 even if some of the computers fail or some of the messages are lost in transit. This is the subject of reliable distributed algorithms in computer science.

ID2203.1x covers models of distributed algorithms based on input/output automata; specifications of fault tolerant abstractions and failure detectors; specific distrib...

This course is the first course in a series of two. Both courses provide a solid foundation in the area of reliable distributed computing, including the main concepts, results, models and algorithms in the field.

Today's global IT infrastructures are distributed systems; from the Internet to the data-centers of cloud computing that fuel the current revolution of global IT services. At the core of these services you find distributed algorithms.

These algorithms run on multiple computers and communicate only by sending and receiving messages. It is crucial for the implemented services to continue to work 24/7 even if some of the computers fail or some of the messages are lost in transit. This is the subject of reliable distributed algorithms in computer science.

ID2203.1x covers models of distributed algorithms based on input/output automata; specifications of fault tolerant abstractions and failure detectors; specific distributed abstractions and fault-tolerant algorithms, including reliable broadcast and causal broadcast; key-value stores and consistency models; single-value consensus and the Paxos algorithm.

To complete the course with a full grade (100%) students are required to answer the graded quizzes provided every week, as well as the programming assignments.

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