25 Papers That Completely Transformed the Computer World

Here are 25 papers that have significantly impacted the field of computer science:

• • [Dynamo - Amazon’s Highly Available Key Value Store](https://www.allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf)

• • [Google File System](https://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf): Insights into a highly scalable file system

• • [Scaling Memcached at Facebook](https://research.facebook.com/file/839620310074473/scaling-memcache-at-facebook.pdf): A look at the complexities of Caching

• • [BigTable](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf): The design principles behind a distributed storage system

• • [Borg - Large Scale Cluster Management at Google](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/43438.pdf)

• • [Cassandra](https://www.cs.cornell.edu/projects/ladis2009/papers/lakshman-ladis2009.pdf): A look at the design and architecture of a distributed NoSQL database

• • [Attention Is All You Need](https://arxiv.org/abs/1706.03762): Into a new deep learning architecture known as the transformer

• • [Kafka](https://www.microsoft.com/en-us/research/wp-content/uploads/2017/09/Kafka.pdf): Internals of the distributed messaging platform

• • [FoundationDB](https://www.foundationdb.org/files/fdb-paper.pdf): A look at how a distributed database

• • [Amazon Aurora](https://web.stanford.edu/class/cs245/readings/aurora.pdf): To learn how Amazon provides high-availability and performance

• • [Spanner](https://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf): Design and architecture of Google’s globally distributed database

• • [MapReduce](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/16cb30b4b92fd4989b8619a61752a2387c6dd474.pdf): A detailed look at how MapReduce enables parallel processing of massive volumes of data

• • [Shard Manager](https://dl.acm.org/doi/pdf/10.1145/3477132.3483546): Understanding the generic shard management framework

• • [Dapper](https://static.googleusercontent.com/media/research.google.com/en//archive/papers/dapper-2010-1.pdf): Insights into Google’s distributed systems tracing infrastructure

• • [Flink](https://www.researchgate.net/publication/308993790_Apache_Flink_Stream_and_Batch_Processing_in_a_Single_Engine): A detailed look at the unified architecture of stream and batch processing

• • [A Comprehensive Survey on Vector Databases](https://arxiv.org/pdf/2310.11703.pdf)

• • [Zanzibar](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/10683a8987dbf0c6d4edcafb9b4f05cc9de5974a.pdf): A look at the design, implementation and deployment of a global system for managing access control lists at Google

• • [Monarch](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/d84ab6c93881af998de877d0070a706de7bec6d8.pdf): Architecture of Google’s in-memory time series database

• • [Thrift](https://thrift.apache.org/static/files/thrift-20070401.pdf): Explore the design choices behind Facebook’s code-generation tool

• • [Bitcoin](https://bitcoin.org/bitcoin.pdf): The ground-breaking introduction to the peer-to-peer electronic cash system

• • [WTF - Who to Follow Service at Twitter](https://web.stanford.edu/~rezab/papers/wtf_overview.pdf): Twitter’s (now X) user recommendation system

• • [MyRocks: LSM-Tree Database Storage Engine](https://www.vldb.org/pvldb/vol13/p3217-matsunobu.pdf)

• • [GoTo Considered Harmful](https://homepages.cwi.nl/~storm/teaching/reader/Dijkstra68.pdf)

• • [Raft Consensus Algorithm](https://raft.github.io/raft.pdf): To learn about the more understandable consensus algorithm

• • [Time Clocks and Ordering of Events](https://lamport.azurewebsites.net/pubs/time-clocks.pdf): The extremely important paper that explains the concept of time and event ordering in a distributed system