AMPLab Publications

• Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
• FastLane: Making Short Flows Shorter with Agile Drop Notification
• Faster Jobs in Distributed Data Processing using Multi-Task Learning
• Wrangler: Predictable and Faster Jobs using Fewer Resources
• Analyzing Log Analysis: An Empirical Study of User Log Mining (Best Student Paper)
• Building Blocks for Exploratory Data Analysis Tools
• Sweet Storage SLOs with Frosting
• Cake: Enabling High-level SLOs on Shared Storage Systems
• Heterogeneity and Dynamicity of Clouds at Scale: Google Trace Analysis
• Interactive Analytical Processing in Big Data Systems: A Cross Industry Study of MapReduce Workloads
• Challenges and Opportunities for Managing Data Systems Using Statistical Models
• Understanding TCP Incast and Its Implications for Big Data Workloads
• Greening the Switch
• Improving MapReduce Performance in Heterogeneous Environments
• Precomputing Possible Configuration Error Diagnoses
• Energy Efficiency for Large-Scale MapReduce Workloads with Significant Interactive Analysis
• Experiences Teaching MapReduce in the Cloud
• Design Implications for Enterprise Storage Systems via Multi-Dimensional Trace Analysis.
• Topology-Aware Resource Allocation for Data-Intensive Workloads
• Static Extraction of Program Configuration Options
• Exploiting Heterogeneity in the Public Cloud for Cost-Effective Data Analytics
• The Datacenter Needs an Operating System
• Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
• The Case for Evaluating MapReduce Performance Using Workload Suites