Read Papers

Programming papers I’ve read.

Note: 2016/1/1 is a place holder date as I don’t recall when I read it

Title Tags Date Read
An Empirical Study on the Correctness ofFormally Verified Distributed Systems verification, distributed-systems 2019/3/3
Anna: A KVS For Any Scale big-data 2016/1/1
ApproxJoin: Approximate Distributed Joins distributed-systems, database-things 2018/12/25
Azure Data Lake Store: A Hyperscale Distributed File Service for Big Data Analytics big-data 2016/1/1
Big Data Technology Literature Review big-data 2016/1/1
Broom: sweeping out Garbage Collection from Big Data systems 2016/1/1
Build systems a la carte haskell, build-systems, spj 2018/6/14
Charon: Declarative Provisioning and Deployment nix, functional-programming 2016/1/1
City Data Fusion: Sensor Data Fusion in the Internet of Things 2016/1/1
Cloud Programming Simplified: A Berkeley View on Serverless Computing cloud 2019/6/29
Combining Deep and Shallow Embedding for EDSL haskell, dsl 2018/7/31
Concurrent multi-level arrays: Wait-free extensible hash maps 2016/1/1
Debugging Distributed Systems withWhy-Across-Time Provenance distributed-systems 2018/12/25
Dissecting Apple’s Meta-CDN during an iOS Update cdn 2019/1/10
Distributed Systems distributed-systems 2018/7/1
Domain-specific Languages and Code Synthesis Using Haskell haskell 2016/1/1
Dynamic Space Limits for Haskell haskell, ghc 2019/2/1
Engineering and Software Engineering general 2018/6/1
Everything You Always Wanted to Know About Synchronization but Were Afraid to Ask 2016/1/1
Fail-Slow at Scale: Evidence of Hardware Performance Faults in Large Production Systems 2016/1/1
Fault Tolerant Functional Reactive Programming (Functional Pearl) haskell 2018/10/5
Filter Before You Parse: Faster Analytics on Raw Data with Sparser big-data 2018/9/22
From monoids to near-semirings: the essence of MonadPlus and alternative haskell 2016/1/1
Future Psychohistory - Computation and Humanity 2016/1/1
Google’s MapReduce Programming Model — Revisited big-data 2016/1/1
Gorilla: A Fast, Scalable, In-Memory Time Series Database scaling, database 2019/4/4
Gray Failure: The Achilles’ Heel of Cloud-Scale Systems 2016/1/1
Hailstorm: Distributed Stream Processing with Exactly Once Semantics haskell 2016/1/1
Hokusai — Sketching Streams in Real Time 2016/1/1
How functional programming mattered 2016/1/1
Identifying impactful service system problems via log analysis analysis, logs 2018/12/25
In Search of an Understandable Consensus Algorithm (Extended Version) distributed-systems, raft, leader-election 2019/1/19
Jitsu: Just-In-Time Summoning of Unikernels 2016/1/1
MOV is Turing Complete low-level, assembly, x86 2019/4/15
MaRe: a MapReduce-Oriented Framework for Processing Big Data with Application Containers map/reduce, big-data, containers 2019/8/21
Monad Transformers Step by Step haskell 2016/1/1
Monadic Parser Combinators haskell, parsing, classic 2019/2/18
Monads for functional programming haskell 2018/6/30
NetChain: Scale-Free Sub-RTT Coordination 2016/1/1
Next-Paradigm Programming Languages: What Will They Look Like and What Changes Will They Bring? programming-languages, future 2019/5/13
Omid, Reloaded: Scalable and Highly-Available Transaction Processing 2016/1/1
On the Design of Distributed Programming Models 2016/1/1
Online Reconstruction of Structural Information from Datacenter Logs big-data 2016/1/1
Overload Control for Scaling WeChat Microservices scaling 2018/12/25
Paxos Made Simple distributed-systems, conensus 2019/5/15
Programming Paradigms for Dummies: What EveryProgrammer Should Know general 2019/4/20
Protocol-Aware Recovery for Consensus-Based Storage 2016/1/1
Quantum Computing in the NISQ era and beyond 2016/1/1
Quantum algorithms: an overview 2016/1/1
Skyway: Connecting Managed Heaps in Distributed Big Data Systems 2016/1/1
Spanner: Becoming a SQL System 2016/1/1
Stitch: The Sound Type-Indexed Type Checker haskell, types 2018/12/31
Storage Solutions for Big Data Systems: A Qualitative Study and Comparison survey, storage 2019/8/21
Stream Fusion. From Lists to Streams to Nothing at All haskell 2016/1/1
Supermonads haskell 2016/1/1
The Essential Guide To Queueing Theory flow-control 2016/1/1
The HdpH DSLs for scalable reliable computation haskell, distributed-systems 2016/1/1
The Influence of Organizational Structure On Software Quality: An Empirical Case Study 2016/1/1
There is no Fork: an Abstraction for Efficient, Concurrent, and Concise Data Access haskell 2016/1/1
Throttling Utilities in the IBM DB2 Universal Database Server 2016/1/1
Towards Haskell in the Cloud haskell, spj 2016/1/1
Typed Tagless Final Interpreters haskell, oleg 2016/1/1
Understanding Real-WorldConcurrency Bugs in Go concurrency, go 2019/2/26
What slows you down? Your network or your device? performance 2016/1/1
Why Most Unit Testing is Waste testing 2019/7/22