Summary of the article presenting GraphLab, a fault-tolerant system that provides a dynamic and asynchronous execution model for processing large-scale graphs.

Summary of the paper presenting Pregel, Google's system for processing large Graphs using a simple computational model while being designed for efficiency and fault-tolerant execution.

Summary of the paper presenting Tachyon, the distributed file system that enables reliable data sharing at memory speed.

Summary of the paper published by University of California Berkeley researchers, presenting RDD, a distributed memory abstraction for computations on large clusters.

Summary of Shvachko's article presenting Hadoop distributed file system HDFS and its scalability limitations.