Coursera Cloud Computing

Cloud Computing Specialisation

University of Illinois at Urbana-Champaign

• Understand core distributed systems concepts underlying cloud computing systems.
• Use these concepts to analyze, design, and implement new cloud computing systems.
• Write new cloud applications.
• Understand the basics of networking inside cloud computing systems.

Cloud Computing Concepts

by Indranil Gupta

• Orientation, Intro to Clouds, MapReduce
• Gossip, Membership, Grids
• P2P Systems
• Key-Value Stores, Time and Ordering
• Snapshots, Multicast, Paxos

Cloud Computing Concepts: Part 2

by Indranil Gupta

• Leader Election, Mutual Exclusion
• Concurrency Control, Replication Control
• Stream Processing, Graph Processing, Structure of Networks, Scheduling
• Distributed File Systems, Distributed Shared Memory, Sensor Networks
• Security, Datacenter Outage Studies, Wrap-up

Cloud Computing Applications

by Roy H. Campbell and Reza Farivar

• Cloud computing, Distributed services, Cloud services
• Web middleware
• MapReduce, Hadoop, PIG, HDFS
• Tez, Streaming
• Advanced storm, Storm internals
• CAP theorem & eventual consistency
• Hbase, Cassandra, HIVE, Spark
• Graph processing
• Machine learning

Cloud Networking

• Physical data center network topology and fault-tolerance
• Network virtualization
• Software defined networking
• Congestion control and traffic engineering
• Inter-data center networks