Reading Schedule

A schedule of the readings for CMPS 278 for my convenience. I’ll also link my reading reviews as I write them, just so that this feels a bit more complete.

Oct 19 Friday

Paper F1: A Distributed SQL Database That Scales (also discussing Spanner a little)

Review F1 - Reading review

Oct 22 Monday

MapReduce: Simplified Data Processing on Large Clusters

Review MapReduce - Reading Review

Oct 24 Wednesday

Bigtable: A Distributed Storage System for Structured Data

Review BigTable - Reading Review

Oct 26 Friday

Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing

Oct 29 Monday

Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases

Oct 31 Wednesday

Discretized Streams: Fault-Tolerant Streaming Computation at Scale

Nov 2 Friday

The MemSQL Query Optimizer

Nov 5 Monday

Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning

Nov 7 Wednesday

The Case for Learned Index Structures

Nov 9 Friday

Cicada: Dependably Fast Multi-Core In-Memory Transactions

Nov 14 Wednesday

Eliminating Unscalable Communication in Transaction Processing

Nov 16 Friday

An Evaluation of Distributed Concurrency Control

Nov 19 Monday

Optimizing Space Amplification in RocksDB

Nov 21 Wednesday

GraphX: Graph Processing in a Distributed Dataflow Framework

Nov 26 Monday

Scalable Atomic Visibility with RAMP Transactions

Nov 28 Wednesday

Guest Speaker

-Data Curation at Scale: The Data Tamer System-

Nov 30 Friday

Data provenance to audit compliance with privacy policy in the Internet of Things

Dec 3 Wednesday

The Myria Big Data Management and Analytics System and Cloud Service

Dec 5 Monday

NoDB: efficient query execution on raw data files

Dec 7 Friday

The Case For Heterogeneous HTAP