# paper_reading

**Repository Path**: ychxing/paper_reading

## Basic Information

- **Project Name**: paper_reading
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-16
- **Last Updated**: 2021-10-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# paper_reading
经典论文阅读笔记，文章同步发布在知乎和博客上。欢迎提 PR。论文列表如下。



## 1. 分布式计算
1. ***Discretized Streams: Fault-Tolerant Streaming Computation at Scale***: [笔记原文](./realtime-compute/spark-streaming-overview.md)，[知乎]()
2. ***Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark*** : [笔记原文](./realtime-compute/structured_streaming.md)，[知乎](https://zhuanlan.zhihu.com/p/51883927)
3. ***The dataflow model: a practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing***：[笔记原文](./realtime-compute/Google_DataFlow.md)，[知乎](https://zhuanlan.zhihu.com/p/54739130)
4. ***Distributed Snapshots: Determining Global States of a Distributed System***: [笔记原文](./realtime-compute/Chandy-Lamport.md)
5. ***MapReduce: Simplified Data Processing on Large Clusters***
6. ***Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing***
7. ***S4: Distributed Stream Computing Platform***

## 2. 分布式协调
1. ***The Chubby lock service for loosely-coupled distributed systems***
2. ***In Search of an Understandable Consensus Algorithm (Extended Version)***

## 3. 分布式存储
1. ***The Google File System***
2. ***Bigtable: A Distributed Storage System for Structured Data***
3. ***Dynamo: Amazon’s Highly Available Key-value Store***
4. ***Finding a Needle in Haystack: Facebook's Photo Storage***
5. ***Spanner: Google's Globally-Distributed Database***
6. ***F1 - The Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business***

## 4. 调度系统
1. ***Dominant Resource Fairness: Fair Allocation of Multiple Resource Types***
2. ***Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center***
3. ***Omega: flexible, scalable schedulers for large compute clusters***
4. ***Large-scale cluster management at Google with Borg***
5. ***Borg: the Next Generation***

## 5. OLAP
1. ***F1 Query: Declarative Querying at Scale***
2. ***Apache Druid***

## 6. AutoScale
1. ***Autopilot: workload autoscaling at Google***