AMPLab Publications

• SparkR: Scaling R Programs with Spark
• FairRide: Near-Optimal, Fair Cache Sharing
• Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity
• Spark SQL: Relational Data Processing in Spark
• The missing piece in complex analytics: Low latency, scalable model management and serving with Velox
• Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks
• Coordination Avoidance in Database Systems
• Scalable Atomic Visibility with RAMP Transactions
• Tachyon: Memory Throughput I/O for Cluster Computing Frameworks
• Highly Available Transactions: Virtues and Limitations
• Eventual Consistency Today: Limitations, Extensions, and Beyond
• HAT, not CAP: Towards Highly Available Transactions
• Bolt-on Causal Consistency
• Choosy: Proportional Sharing for Datacenter Jobs with Constraints
• The Potential Dangers of Causal Consistency and an Explicit Solution
• PACMan: Coordinated Memory Caching for Parallel Jobs
• The Datacenter Needs an Operating System
• Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
• Dominant Resource Fairness: Fair Allocation of Multiple Resources Types
• Disk-Locality in Datacenter Computing Considered Irrelevant