6.852J / 18.437J Distributed Algorithms, Fall 2005
Author(s)
Lynch, Nancy
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Alternative title
Distributed Algorithms
Metadata
Show full item recordAbstract
This course intends to provide a rigorous introduction to the most important research results in the area of distributed algorithms, and prepare interested students to carry out independent research in distributed algorithms. Topics covered include: design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks, process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration is given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation are also discussed. Detailed information on the course textbook can be found here: Lynch, Nancy A. Distributed Algorithms. San Francisco, CA: Morgan Kaufmann, 1997. ISBN: 1558603484.
Date issued
2005-12Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Department of MathematicsOther identifiers
6.852J-Fall2005
local: 6.852J
local: 18.437J
local: IMSCP-MD5-5e35f7cc76e41c12691bdb573daaac29
Keywords
distributed algorithms, algorithm, concurrent algorithms, distributed networks, process synchronization, computational resources, distributed consensus, distributed graph algorithms, distributed termination, deadlock detection, concurrency control, communication, clock synchronization, fault tolerance, distributed computation, 6.852J, 18.437J, 6.852, 18.437, distributed algorithms, algorithm, concurrent algorithms, distributed networks, process synchronization, computational resources, distributed consensus, distributed graph algorithms, distributed termination, deadlock detection, concurrency control, communication, clock synchronization, fault tolerance, distributed computation, algorithm, distributed algorithms, algorithm, concurrent algorithms, distributed networks, process synchronization, computational resources, distributed consensus, distributed graph algorithms, distributed termination, deadlock detection, concurrency control, communication, clock synchronization, fault tolerance, distributed computation, Electronic data processing -- Distributed processing., Algorithms