YZStack: Provisioning Customizable Solution for Big Data
Summary: YZStack offers a customizable big-data stack spanning OpenStack IaaS, DFS-based DaaS, parallel-processing PaaS, and analytics SaaS, with loosely coupled layers enabling independent provisioning. A Zhejiang financial-system deployment illustrates rapid implementation for economic prediction and improper-payment detection. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
BibTeX Citation
@article{wu_vldb14,
title = {{YZStack: Provisioning Customizable Solution for Big Data}},
author = {Wu, Sai and Chen, Chun and Chen, Gang and Chen, Ke and Shou, Lidan and Cao, Hui and Bai, He},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1778--1789},
doi = {10.14778/2733004.2733083},
url = {https://doi.org/10.14778/2733004.2733083},
year = {2014}
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Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 56 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.00040719947 |
| 202 | Generalized Search Trees for Database Systems (Extended Abstract) | 1995 | VLDB | 0.00025454884 |
| 626 | Entity Resolution: Theory, Practice & Open Challenges | 2012 | VLDB | 0.00015656958 |
| 2,354 | epiC: an Extensible and Scalable System for Processing Big Data | 2014 | VLDB | 8.7060612e-05 |
| 2,942 | Llama: Leveraging Columnar Storage for Scalable Join Processing in the MapReduce Framework | 2011 | SIGMOD | 7.9358593e-05 |
| 7,990 | ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems [Innovative Systems Paper] | 2014 | VLDB | 5.5107935e-05 |
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