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: 9996
Venue: VLDB
Year: 2010
Pagerank: 4.1945683e-05
Overall Rank: 12,254 | 14.76%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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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
43	Models and Issues in Data Stream Systems	2002	PODS	0.00072723062
142	TelegraphCQ: Continuous Dataflow Processing for an Uncertain World	2003	CIDR	0.00041725802
205	Monitoring Streams – A New Class of Data Management Applications	2002	VLDB	0.00034731577
1,357	Highly Available, Fault-Tolerant, Parallel Dataflows	2004	SIGMOD	0.00012392275
1,990	Fault-Tolerance in the Borealis Distributed Stream Processing System	2005	SIGMOD	9.8472819e-05
3,886	Fault-tolerant Stream Processing using a Distributed, Replicated File System	2008	VLDB	6.6661649e-05

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