Distributed Systems and Cloud Computing

Abstract

• The goal of this course is to provide a comprehensive view on recent topics and trends in distributed systems and cloud computing.
• We will discuss the software techniques employed to construct and program reliable, highly-scalable systems.
• We will also cover architecture design of modern datacenters and virtualization techniques that constitute a central topic of the cloud computing paradigm.
• The course is complemented by a number of lab sessions to get hands-on experience with Hadoop and the design of scalable algorithms with MapReduce.

Bibliography

• http://library.eurecom.fr/modules/webportal/results.php?op=search_saved&idbase=12&IDRech=183

Description

• Introduction
• Datacenter Design and Architectures
• Virtualization
• Energy Efficiency
• Distributed File Systems (part 1)
• Distributed File Systems (part 2)
• Replication
• MapReduce: Motivations and Theory
• MapReduce: Hadoop internals
• MapReduce: Programming Model and Algorithms
• Database Systems
• Distributed Database Systems
• Distributed Data Stores and NoSQL Systems