Getting Your Big Data Priorities Straight: A Demonstration of Priority-based QoS using Social-network-driven Stock Recommendation
Summary: Demonstrates priority-based QoS for multiplexed big-data workloads, using Twitter-driven stock recommendation with concurrent batch and interactive queries. Hadoop/GPFS workload differentiation cuts query latency 3.6× under I/O contention, nearly matching contention-free execution. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Rui Zhang (IBM)
- 2. Reshu Jain (IBM)
- 3. Prasenjit Sarkar (IBM)
- 4. Lukas Rupprecht (Imperial College London)
BibTeX Citation
@article{zhang_vldb14,
title = {{Getting Your Big Data Priorities Straight: A Demonstration of Priority-based QoS using Social-network-driven Stock Recommendation}},
author = {Zhang, Rui and Jain, Reshu and Sarkar, Prasenjit and Rupprecht, Lukas},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1665--1668},
doi = {10.14778/2733004.2733056},
url = {https://doi.org/10.14778/2733004.2733056},
year = {2014}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 32 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00050111008 |
| 425 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018704491 |
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