DBScholar

Back to papers

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)

Paper ID
10187
Venue
VLDB
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,449 | 14.59%
DOI
10.14778/1920841.1920864

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers