Programming and Technologies in Cloud Computing – PTCC

Course Coordinator: Ilias Savvas,      ECTS: 7.5,      Semester: A (D)

Syllabus

Introduction to distributed programming, Distributed programming using Message Passing Interface – MPI, The Hadoop ecosystem (HDFS, Yarn, MapReduce), Legal and security issues, Economics and prospects of cloud computing. Case studies: Hadoop Distributed File System, Google App Engine, Amazon Web Services, Microsoft Azure. Security of cloud computing systems. The economics of cloud computing.

Recommended Bibliography

  • Gropp, W. Lunsk, A. Skjellum, “Using MPI. Portable Parallel Programming with the Message-Passing Interface”, MIT Press, second edition, 1999
  • Berman, and J. L. Paul, Algorithms: Sequential, Parallel, and Distributed, Thomson, 2005
  • Michael J. Quinn, Parallel Programming in C with MPI and OpenMP, McGraw Hill Higher Education, 2003
  • Michael Armbrust et.al., “Above the Clouds: A Berkeley View of Cloud Computing”, Technical Report No. UCB/EECS-2009-28
  • Apache Hadoop, HDFS, url: https://hadoop.apache.org/
  • Sanjay Ghemawat et al., “The Google File System”
  • Naushad UzZaman, “Survey on Google File System”
  • Jeffrey Dean and Sanjay Ghemawat, “MapReduce: Simplified Data Processing on Large Clusters”, Communications of the ACM, volume 51 (1), pp 107–113, 2008

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