Extreme Computing Exam Review (December 2018)

Papers

	Topic	Article PDF	Type
1	Map Reduce	MapReduce: Simplified Data Processing on Large Clusters	Required
2	Pig	Pig Latin: A Not-So-Foreign Language for Data Processing	Required
		Building a High-Level Dataflow System on top of Map-Reduce: The Pig Experience	Recommended
3	Google File System	The Google File System	Required
4	BigTable	Bigtable: A Distributed Storage System for Structured Data	Required
		Spanner: Google’s Globally-Distributed Database	Recommended
5	Zookeeper	ZooKeeper: Wait-free coordination for Internet-scale systems	Required
		The Chubby lock service for loosely-coupled distributed systems	Recommended
		Zab: High-performance broadcast for primary-backup systems	Recommended
		Wait-Free Synchronization	Recommended
6	Pregel	Pregel: A System for Large-Scale Graph Processing	Required
		GraphX: Graph Processing in a Distributed Dataflow Framework	Recommended
		PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs	Recommended
7	Virtualization + Containers	Xen and the Art of Virtualization	Recommended
		An Updated Performance Comparison of Virtual Machines and Linux Containers	Recommended
		kvm: the Linux Virtual Machine Monitor	Recommended
		Docker ecosystem – Vulnerability Analysis	Recommended

Notes:

Topics sourced from the review lecture; papers sourced from slides and resource list
Recommended papers about Spark omitted since it's not examinable (I think)