AMPLab Publications

• Interactive Analytical Processing in Big Data Systems: A Cross Industry Study of MapReduce Workloads
• We Don’t Know Enough to make a Big Data Benchmark Suite – An Academia-Industry View
• Challenges and Opportunities for Managing Data Systems Using Statistical Models
• Understanding TCP Incast and Its Implications for Big Data Workloads
• Energy Efficiency for Large-Scale MapReduce Workloads with Significant Interactive Analysis
• Design Implications for Enterprise Storage Systems via Multi-Dimensional Trace Analysis.
• The Case for Evaluating MapReduce Performance Using Workload Suites