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Curated by our team of experts, discover the groundbreaking research papers and open source documents that revolutionized technology. From foundational web protocols to cutting-edge distributed systems, we meticulously select papers that have shaped the future of software development.
The Google File System
A scalable distributed file system for large distributed data-intensive applications. This paper describes Google's approach to handling massive amounts of data across commodity hardware.
MapReduce: Simplified Data Processing on Large Clusters
A programming model and an associated implementation for processing and generating large data sets. This paper revolutionized big data processing and inspired frameworks like Hadoop and Spark.
Bigtable: A Distributed Storage System for Structured Data
A distributed storage system for managing structured data designed to scale to a very large size across thousands of commodity servers. This system influenced many NoSQL databases including HBase and Cassandra.
Bitcoin: A Peer-to-Peer Electronic Cash System
The original whitepaper that introduced blockchain technology and cryptocurrency. This paper proposed a solution to the double-spending problem using a peer-to-peer network, revolutionizing digital transactions.
Dynamo: Amazon's Highly Available Key-value Store
A highly available key-value storage system that some of Amazon's core services use to provide an always-on experience. This paper influenced the design of many modern distributed databases.
The Chubby Lock Service for Loosely-Coupled Distributed Systems
A lock service for loosely-coupled distributed systems. Chubby provides an interface much like a distributed file system with advisory locking, useful for coordination tasks.
Spanner: Google's Globally-Distributed Database
A globally-distributed database that provides externally consistent distributed transactions, cross-datacenter replication, and automatic failover. This paper influenced modern distributed SQL databases.
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
An interface for expressing machine learning algorithms and an implementation for executing such algorithms. This paper describes the TensorFlow system that became a cornerstone of modern ML infrastructure.
The Linux Kernel
The open-source monolithic Unix-like computer operating system kernel. This project demonstrated the power of open-source collaboration and became the foundation for Android, servers, and embedded systems worldwide.
Curated by YAT India Experts
Our team meticulously curates these influential research papers and documents that have fundamentally changed the landscape of computer science and software engineering. Each paper in our collection has shaped the way we build, deploy, and scale modern applications at YAT India.
All papers are freely available and open source. Click "Read Paper" to access the full document and explore the research that drives innovation in our industry.