P246 | The CacheLib Caching Engine: Design and Experiences at Scale
2:50
P246 | The CacheLib Caching Engine: Design and Experiences at Scale
P245 | MyRocks: LSM-tree database storage engine serving Facebook's social graph
3:35
P245 | MyRocks: LSM-tree database storage engine serving Facebook's social graph
P244 | Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook
2:22
P244 | Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook
P243| Optimizing Space Amplification in RocksDB
3:18
P243| Optimizing Space Amplification in RocksDB
P242 | Presto: SQL on Everything
5:05
P242 | Presto: SQL on Everything
P241 | Cubrick: Indexing Millions of Records per Second for Interactive Analytics
2:13
P241 | Cubrick: Indexing Millions of Records per Second for Interactive Analytics
P240 | Cubrick: A Scalable Distributed MOLAP Database for Fast Analytics
2:35
P240 | Cubrick: A Scalable Distributed MOLAP Database for Fast Analytics
P239 | Pregel: A System for Large-Scale Graph Processing
2:49
P239 | Pregel: A System for Large-Scale Graph Processing
P238 | Milvus: A Purpose-Built Vector Data Management System
1:39
P238 | Milvus: A Purpose-Built Vector Data Management System
P237 | Scuba: Diving into Data at Facebook
1:47
P237 | Scuba: Diving into Data at Facebook
P236 | Time, Clocks, and the Ordering of Events in a Distributed System
2:03
P236 | Time, Clocks, and the Ordering of Events in a Distributed System
P235 | Linearizability: A correctness condition for concurrent objects
2:16
P235 | Linearizability: A correctness condition for concurrent objects
P234 | Voting with Witnesses: A Consistency Scheme for Replicated Files
2:06
P234 | Voting with Witnesses: A Consistency Scheme for Replicated Files
P233 | Deduplicating a places database
2:11
P233 | Deduplicating a places database
P232 | Analysis of HDFS Under HBase: A Facebook Messages Case Study
3:31
P232 | Analysis of HDFS Under HBase: A Facebook Messages Case Study
P231 | Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes
3:23
P231 | Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes
P230 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
2:58
P230 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
P229 | LinkBench: a Database Benchmark based on the Facebook Social Graph
1:55
P229 | LinkBench: a Database Benchmark based on the Facebook Social Graph
P228 | Apache Hadoop Goes Realtime at Facebook
2:29
P228 | Apache Hadoop Goes Realtime at Facebook
P227 | Facebook’s Tectonic Filesystem: Efficiency from Exascale
2:01
P227 | Facebook’s Tectonic Filesystem: Efficiency from Exascale
P226 | Hive - A Warehousing Solution Over a Map-Reduce Framework
1:39
P226 | Hive - A Warehousing Solution Over a Map-Reduce Framework
P225 | Blockstack: A Global Naming and Storage System Secured by Blockchains
1:51
P225 | Blockstack: A Global Naming and Storage System Secured by Blockchains
P224 | TAO: Facebook’s Distributed Data Store for the Social Graph
2:18
P224 | TAO: Facebook’s Distributed Data Store for the Social Graph
P223 | FaRM Fast Remote Memory
1:59
P223 | FaRM Fast Remote Memory
P222 | A brief history of high availability
1:06
P222 | A brief history of high availability
P221 | On-demand Container Loading in AWS Lambda
2:00
P221 | On-demand Container Loading in AWS Lambda
P220 | (Article) How the Bitcoin protocol actually works
1:34
P220 | (Article) How the Bitcoin protocol actually works
P219 | Bitcoin: A Peer-to-Peer Electronic Cash System
2:54
P219 | Bitcoin: A Peer-to-Peer Electronic Cash System
P218 | Petal: Distributed Virtual Disks
1:44
P218 | Petal: Distributed Virtual Disks
P217 | Experiences with a Distributed, Scalable, Methodological File System: AnalogicFS
0:23
P217 | Experiences with a Distributed, Scalable, Methodological File System: AnalogicFS