Reading List

Being less concrete further out, the reading list is being incrementally updated to include more papers as we go.

Big Data Systems

(required) The Google File System [ACM SOSP 2003]

(required) MapReduce: Simplified Data Processing on Large Clusters [USENIX OSDI 2004]

(required) Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing [USENIX NSDI 2012]

Systems for ML and ML for Systems

Ray v2 Architecture (Ray white paper)

Ray: A Distributed Framework for Emerging AI Applications [USENIX OSDI 2018]

(required) The Case for Learned Index Structures [ACM SIGMOD 2018]

Cloud Computing and Storage Systems

(required) Cloud Programming Simplified: A Berkeley View on Serverless Computing [Tech report]

(required) Occupy the Cloud: Distributed Computing for the 99% [ACM SoCC 2017]

(required) Building and operating a pretty big storage system called S3 [Guest post from Andy Warfield, VP and distinguished engineer over AWS S3]

(required) Dynamo: Amazon’s Highly Available Key-value Store [ACM SOSP 2007]