Big-Data-Specialization

EECS598课程阅读总结

No	Readings	Presenter(原课程小组)	Critic(原课程小组)	我的总结(中文)
1	Introduction	Mosharaf
	Background
2	The Datacenter as a Computer (Chapters 1 and 2)	Mosharaf		略
	VL2: A Scalable and Flexible Data Center Network (Optional)			略
3	The Google File System	Mosharaf		YangXuLei:(地址1)、(2)
	MapReduce: Simplified Data Processing on Large Clusters
	GFS: Evolution on Fast-Forward (Optional)
	Resource Management
4	YARN: Yet Another Resource Negotiator	Matthew-Ayush-HyunJong	ChunJung-TingWei-Vandit*
5	Borg, Omega, and Kubernetes (Companion)
6	Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center (Optional)
7	Dominant Resource Fairness: Fair Allocation of Multiple Resource Types	Fan-Hasan-Henry	Andrew-William-Zhao*
	Altruistic Scheduling in Multi-Resource Clusters (Companion)
	Dataflow Programming Frameworks and Execution Engines
8	Resilient Distributed Datasets: A Fault-tolerant Abstraction for In-memory Cluster Computing	Dong-Jinxiaoyu-Huanyu	Qiyang-Ruying
	Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications (Companion)
9	Naiad: A Timely Dataflow System	Die-Chi-Shaowen	Matthew-Ayush-HyunJong
	Batch Processing
10	Spark SQL: Relational Data Processing in Spark	Bor-ChungWen-Hongyu	Dong-Jinxiaoyu-Huanyu
	Major Technical Advancements in Apache Hive (Companion)
11	Global Analytics in the Face of Bandwidth and Regulatory Constraints	Fan-Hasan-Henry*	Boyu-Rui-Haojun*
	Clarinet: WAN-Aware Optimization for Analytics Queries (Companion)
	Stream Processing
12	Discretized Streams: Fault-Tolerant Streaming Computation at Scale	ChunJung-TingWei-Vandit	TaiYing-PeiXuan-Changfeng
	Storm @Twitter (Companion)
13	Realtime Data Processing at Facebook	TaiYing-PeiXuan-Changfeng	Wen-Eric-Kevin
	Twitter Heron: Stream Processing at Scale (Companion)
14	StreamScope: Continuous Reliable Distributed Processing of Big Data Streams	Die-Chi-Shaowen*	Bor-ChungWen-Hongyu
	Graph Processing
15	PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs	Wen-Eric-Kevin*	Dong-Jinxiaoyu-Huanyu*
	GraphX: Graph Processing in a Distributed Dataflow Framework (Companion)
	Machine Learning
16	Scaling Distributed Machine Learning with the Parameter Server	Qiyang-Ruying	Die-Chi-Shaowen
	Project Adam: Building an Efficient and Scalable Deep Learning Training System (Optional)
17	TensorFlow: A System for Large-Scale Machine Learning	Wen-Eric-Kevin	Boyu-Rui-Haojun
18	TuX2: Distributed Graph Computation for Machine Learning	Andrew-William-Zhao	Wenting-Peter
19	Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds	Matthew-Ayush-HyunJong*	Fan-Hasan-Henry
20	Mid-Semester Presentations
	Approximate Query Processing
21	BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data	Boyu-Rui-Haojun	Wenting-Peter*
22	Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters	Andrew-William-Zhao	Bor-ChungWen-Hongyu*
	RDMA-Enabled Systems
23	FaRM: Fast Remote Memory	Qiyang-Ruying* Yiwen**	TaiYing-PeiXuan-Changfeng*
	No Compromises: Distributed Transactions with Consistency, Availability, and Performance (Companion)
24	Efficient Memory Disaggregation with Infiniswap	Wenting-Peter	ChunJung-TingWei-Vandit