iFlow: An Approach for Fast and Reliable Internet-Scale Stream Processing Utilizing Detouring and Replication
Summary: iFlow is a replication-based, internet-scale stream processor that delivers fast, reliable processing with low replication via detouring. It adaptively migrates replicas to optimize performance and availability under network variability, demonstrated on a live network-monitoring workload. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Christopher McConnell (State University of New York at Albany)
- 2. Fan Ping (State University of New York at Albany)
- 3. Jeong-Hyon Hwang (State University of New York at Albany)
BibTeX Citation
@article{mcconnell_vldb10,
title = {{iFlow: An Approach for Fast and Reliable Internet-Scale Stream Processing Utilizing Detouring and Replication}},
author = {McConnell, Christopher and Ping, Fan and Hwang, Jeong-Hyon},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {2},
pages = {1557--1560},
doi = {10.14778/1920841.1920864},
url = {https://doi.org/10.14778/1920841.1920864},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 26 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00052982574 |
| 111 | TelegraphCQ: Continuous Dataflow Processing for an Uncertain World | 2003 | CIDR | 0.00032990214 |
| 167 | Monitoring Streams – A New Class of Data Management Applications | 2002 | VLDB | 0.0002757283 |
| 1,209 | Highly Available, Fault-Tolerant, Parallel Dataflows | 2004 | SIGMOD | 0.00011657178 |
| 1,789 | Fault-Tolerance in the Borealis Distributed Stream Processing System | 2005 | SIGMOD | 9.7502324e-05 |
| 3,776 | Fault-tolerant Stream Processing using a Distributed, Replicated File System | 2008 | VLDB | 7.1347542e-05 |
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