Tag Archives: Big Data Systems

Spark has been accepted at NSDI’2012

Our paper "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing" has been accepted at NSDI'2012. This is Matei's brainchild and a joint work of a lot of people including, but not limited to, TD, Ankur, Justin, Murphy, and professors Ion Stoica, Scott Shenker, and Michael Franklin. Unlike many other systems papers, Spark is … Continue Reading ››

Technical report on Spark is available Online

A technical report describing the key concepts behind Spark is available online. The abstract goes below:
We present Resilient Distributed Datasets (RDDs), a distributed memory abstraction that allows programmers to perform in-memory computations on large clusters while retaining the fault tolerance of data flow models like MapReduce. RDDs are motivated by two types of applications … Continue Reading ››