Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S
Summary: Prototyping a multi-modal stream analytics app (DAC) on IBM System S; challenges: generating correlated sources, assembling a large PE flow graph, and deploying under uneven input rates. Lessons: disaster-claim model, System S tooling, parallelism, resource-adaptive compute. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kun-Lung Wu (International Business Machines T. J. Watson Research Center)
- 2. Kirsten W. Hildrum (International Business Machines T. J. Watson Research Center)
- 3. Philip S. Yu (International Business Machines T. J. Watson Research Center)
- 4. Buğra Gedik (International Business Machines T. J. Watson Research Center)
- 5. Charu C. Aggarwal (International Business Machines T. J. Watson Research Center)
- 6. Eric Bouillet (International Business Machines T. J. Watson Research Center)
- 7. Wei Fan (International Business Machines T. J. Watson Research Center)
- 8. David A. George (International Business Machines T. J. Watson Research Center)
- 9. Xiaohui Gu (International Business Machines T. J. Watson Research Center)
- 10. Gang Luo (International Business Machines T. J. Watson Research Center)
- 11. Haixun Wang (International Business Machines T. J. Watson Research Center)
BibTeX Citation
@article{wu_vldb07,
title = {{Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S}},
author = {Wu, Kun-Lung and Hildrum, Kirsten W. and Yu, Philip S. and Gedik, Buğra and Aggarwal, Charu C. and Bouillet, Eric and Fan, Wei and George, David A. and Gu, Xiaohui and Luo, Gang and Wang, Haixun},
journal = {PVLDB},
series = {{VLDB} '07},
volume = {33},
number = {2},
pages = {1185--1188},
doi = {10.14778/1325953.1326087},
url = {https://doi.org/10.14778/1325953.1326087},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,353 | SPADE: The System S Declarative Stream Processing Engine | 2008 | SIGMOD | 0.00011061346 |
| 2,655 | Executing Stream Joins on the Cell Processor | 2007 | VLDB | 8.2888851e-05 |
| 3,722 | NET-FLi: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic | 2010 | VLDB | 7.1726862e-05 |
| 7,840 | From a Stream of Relational Queries to Distributed Stream Processing | 2010 | VLDB | 5.5339505e-05 |
| 12,333 | Building User-defined Runtime Adaptation Routines for Stream Processing Applications | 2012 | VLDB | 5.093636e-05 |
| 12,578 | LEE WAVE: Level-Wise Distribution of Wavelet Coefficients for Processing kNN Queries over Distributed Streams | 2008 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 111 | TelegraphCQ: Continuous Dataflow Processing for an Uncertain World | 2003 | CIDR | 0.00032990214 |
| 127 | The Design of the Borealis Stream Processing Engine | 2005 | CIDR | 0.00030738755 |
| 193 | Continuously Adaptive Continuous Queries over Streams | 2002 | SIGMOD | 0.00025964286 |
| 2,393 | Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core | 2006 | SIGMOD | 8.6366772e-05 |
| 8,549 | Resource-Adaptive Real-Time New Event Detection | 2007 | SIGMOD | 5.4119882e-05 |
| 9,272 | A Framework for Projected Clustering of High Dimensional Data Streams | 2004 | VLDB | 5.2945481e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,353 | SPADE: The System S Declarative Stream Processing Engine | 2008 | SIGMOD |
| 2 | 9,460 | Providing Resiliency to Load Variations in Distributed Stream Processing | 2006 | VLDB |
| 3 | 3,851 | Analyzing Efficient Stream Processing on Modern Hardware | 2019 | VLDB |
| 4 | 150 | Query Processing, Resource Management, and Approximation in a Data Stream Management System | 2003 | CIDR |
| 5 | 8,663 | Scalable Delivery of Stream Query Result | 2009 | VLDB |
| 6 | 26 | Models and Issues in Data Stream Systems | 2002 | PODS |
| 7 | 7,840 | From a Stream of Relational Queries to Distributed Stream Processing | 2010 | VLDB |
| 8 | 2,393 | Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core | 2006 | SIGMOD |
| 9 | 12,333 | Building User-defined Runtime Adaptation Routines for Stream Processing Applications | 2012 | VLDB |
| 10 | 1,090 | Scalable Distributed Stream Processing | 2003 | CIDR |