Work

Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget

Year: 2012

Type: conference-paper

Abstract: Collecting per-flow aggregates in high-speed links is challenging and usually requires traffic sampling to handle peak rates and extreme traffic mixes. Static selection of sampling rates is problematic, since worst-case resource usage is orders of magnitude higher than the average. To address this issue, adaptive schemes have been proposed in the last few years that periodically adjust packet sampling rates to network conditions. However, such proposals rely on complex algorithms and data structures of costly maintenance. As a consequence, adaptive sampling is still not widely implemented in routers.

Source: IEEE Conference on Computer Communications (INFOCOM)

DOI: 10.1109/infcom.2012.6195693

Authors: Josep Sanjuaas-Cuxart, Pere Barlet-Ros, Nick Duffield, Ramana Kompella

Institutions: Universitat Politècnica de Catalunya, AT&T (United States), Purdue University West Lafayette

Language: English

Topic: Network Packet Processing and Optimization

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2105350355

FWCI: 0.384

Cites: 29

Cited by: 9

Related to: 10