Getting Your Big Data Priorities Straight: A Demonstration of Priority-based QoS using Social-network-driven Stock Recommendation
Summary: Priority-based QoS for multiplexed big-data workloads (batch + interactive) on Hadoop/HDFS enables per-workload prioritization. Demo: interactive query 3.6× faster under I/O contention for a social-network stock-recommendation workload, using 3 months of Twitter data (≈4×10^12 stock combos), near ideal contention-free performance. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Rui Zhang
- 2. Reshu Jain
- 3. Prasenjit Sarkar
- 4. Lukas Rupprecht
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|---|---|---|---|---|
| 70 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00059533166 |
| 542 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00020595648 |
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