My area of interest within computer systems lies in distributed systems, networking, blockchain, and cloud computing. I've been delving into this field by reading both academic papers assigned in coursework and those I've chosen to explore independently. Here is the list (some links may not work, please use a web-search to search by title):

Multithreading & Multiprocessing

• Eraser: A Dynamic Data Race Detector for Multithreaded Programs
• Threads Cannot Be Implemented As a Library
• Experience with Processes and Monitors in Mesa
• Scheduler Activations: Effective Kernel Support for the User-Level Management of Parallelism
• ghOSt: Fast & Flexible User-Space Delegation of Linux Scheduling
• The Scalable Commutativity Rule: Designing Scalable Software for Multicore Processors

Memory Management

• Practical, Transparent Operating System Support for Superpages
• AIFM: High-Performance, Application-Integrated Far Memory

Networking

• Eliminating Receive Livelock in an Interrupt-driven Kernel
• Snap: a Microkernel Approach to Host Networking
• Andromeda: Performance, Isolation, and Velocity at Scale in Cloud Network Virtualization
• Moving Beyond End-to-End Path Information to Optimize CDN Performance

Virtualization

• Memory Resource Management in VMware ESX Server
• A Comparison of Software and Hardware Techniques for x86 Virtualization
• Dune: Safe User-level Access to Privileged CPU Features

File Systems

• Design and Implementation of the Sun Network Filesystem 
• The Design and Implementation of a Log-Structured File System
• Rethink the Sync 
• F2FS: A New File System for Flash Storage 
• To FUSE or Not to FUSE: Performance of User-Space File Systems


• Replication in the Harp File System
• Google File System
• CacheSack: Admission Optimization for Google Datacenter Flash Caches
• The Hadoop Distributed File System


• High Performance Design for HDFS with Byte-Addressability of NVM and RDMA
• Octopus: an RDMA-enabled Distributed Persistent Memory File System

Distributed Systems Theory

• Time, Clocks, and the Ordering of Events in a Distributed System
• Practical Uses of Synchronized Clocks in Distributed Systems
• CAP Twelve Years Later: How the "Rules" Have Changed
• Spanner, TrueTime & The CAP Theorem

Consensus

• Impossibility of Distributed Consensus with One Faulty Process
• Paxos Made Simple
• In Search of an Understandable Consensus Algorithm
• Microsecond Consensus for Microsecond Applications
• SWIM: Scalable Weakly-Consistent Infection-style Process Group Memebership


• The Chubby lock service for loosely-coupled distributed systems
• ZooKeeper: Wait-free coordination for Internet-scale systems

Datastores

• A New Presumed Commit Optimization for Two Phase Commit


• Spanner: Google's Globally-Distributed Database
• F1: A Distributed SQL Database That Scales
• Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
• C-Store: A Column-oriented DBMS


• Bigtable: A Distributed Storage System for Structured Data
• Dynamo: Amazon's Highly Available Key-value Store
• Cassandra - A Decentralized Structured Storage System
• Firestore: The NoSQL Serverless Database for the Application Developer


• Don't Settle for Eventual: Scalable Causal Consistency for Wide-Area Storage with COPS
• No compromises: distributed transactions with consistency, availability, and performance
• CRDTs: Consistency without concurrency control


• Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing
• Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google
• Monarch: Google's Planet-Scale In-Memory Time Series Database
• Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores


• TAO: Facebook's Distributed Data Store for the Social Graph


• CliqueMap: Productionizing an RMA-Based Distributed Caching System
• Scaling Memcache at Facebook
• Using One-Sided RDMA Reads to Build a Fast, CPU-Efficient Key-Value Store
• FaRM: Fast Remote Memory
• A large scale analysis of hundreds of in-memory cache clusters at Twitter

Authentication & Authorization

• Zanzibar: Google’s Consistent, Global Authorization System

Big Data Processing

• F1 Query: Declarative Querying at Scale
• Dremel: Interactive Analysis of Web-Scale Datasets


• MapReduce: Simplified Data Processing on Large Clusters
• Spark: Cluster Computing with Working Sets
• Exoshuffle: An Extensible Shuffle Architecture


• Discretized Streams: Fault-Tolerant Streaming Computation at Scale
• MillWheel: Fault-Tolerant Stream Processing at Internet Scale
• The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
• Apache Flink™: Stream and Batch Processing in a Single Engine


• Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams
• Ubiq: A Scalable and Fault-tolerant Log Processing Infrastructure


• Kafka: A Distributed Messaging System for Log Processing
• Wormhole: Reliable Pub-Sub to support Geo-replicated Internet Services


• Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks

Cluster Computing

• Design patterns for container-based distributed systems
• Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
• Large-scale cluster management at {Google} with {Borg}
• Slicer: Auto-Sharding for Datacenter Applications
• Autopilot: Workload Autoscaling at Google Scale

Cloud Computing

• SkyPilot: A Intercloud Broker for Sky Computing
• Availability in Globally Distributed Storage Systems
• Firecracker: Lightweight Virtualization for Serverless Applications

Content Distribution

• Kademlia: A Peer-to-peer Information System Based on the XOR Metric
• Democratizing content publication with Coral
• IPFS - Content Addressed, Versioned, P2P File System
• The Eternal Tussle: Exploring the Role of Centralization in IPFS
  

Blockchain

• Practical Byzantine Fault Tolerance
• STREAMLET: Textbook Streamlined Blockchains
• The Honeybadger of BFT Protocols
• Groundhog: Linearly-Scalable Smart Contracting via Commutative Transaction Semantics
• The Stellar Consensus Protocol: A Federated Model for Internet-level Consensus

• Hyperledger fabric: a distributed operating system for permissioned blockchains
• SharPer: Sharding Permissioned  Blockchains Over Network Clusters

Systems for Artificial Intelligence

• Ownership: A Distributed Futures System for Fine-Grained Tasks
• Ray: A Distributed Framework for Emerging AI Applications
• Fairness in Serving Large Language Models
• ORCA: A Distributed Serving Systems for Transformer-Based Generative Models

Tracing & Debugging

• Google Wide Profiling: A Continuous Profiling Infrastructure for Data Centers
• Dapper, a Large-Scale Distributed Systems Tracing Infrastructure
• Canopy: An End-to-End Performance Tracing And Analysis System
• X-Trace: A Pervasive Network Tracing Framework
• Magpie: online modelling and performance-aware systems
• Distributed Tracing For InterPlanetary FileSystem :)

Applications

• High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads

Misc Books/Articles

• The Rise of Worse is Better
• Immutability Changes Everything
• On Designing and Deploying Internet-Scale Services
• Harvest, Yield, and Scalable Tolerant Systems


• The Tail at Scale
• Specifying Systems: The TLA+ Language and Tools for Hardware and Software Engineers