An Integrated Congestion Management Architecture for Internet Hosts

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An Integrated Congestion Management Architecture for Internet Hosts (1999)

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by Hari Balakrishnan , Hariharan S. Rahul , Srinivasan Seshan

Venue:	In Proc. ACM SIGCOMM
Citations:	295 - 24 self

BibTeX

@INPROCEEDINGS{Balakrishnan99anintegrated,
    author = {Hari Balakrishnan and Hariharan S. Rahul and Srinivasan Seshan},
    title = {An Integrated Congestion Management Architecture for Internet Hosts},
    booktitle = {In Proc. ACM SIGCOMM},
    year = {1999},
    pages = {175--187}
}

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Abstract

This paper presents a novel framework for managing network congestion from an end-to-end perspective. Our work is motivated by several trends in traffic patterns that threaten the long-term stability of the Internet. These trends include the use of multiple independent concurrent flows by Web applications and the increasing use of transport protocols and applications that do not adapt to congestion. We present an end-system architecture centered around a Congestion Manager (CM) that ensures proper congestion behavior and allows applications to easily adapt to network congestion. Our framework integrates congestion management across all applications and transport protocols. The CM maintains congestion parameters and exposes an API to enable applications to learn about network characteristics, pass information to the CM, and schedule data transmissions. Internally, it uses a stable rate-based control algorithm, a scheduler to regulate transmissions, and a lightweight loss-resilient protocol to elicit feedback from receivers. Its ratebased scheme uses additive increase/multiplicative decrease, combined with a novel exponential aging scheme when receiver feedback is infrequent, to obtain both stable network behavior and good application performance.

Keyphrases

congestion management architecture internet host network congestion transport protocol stable rate-based control algorithm congestion parameter congestion management network characteristic receiver feedback end-to-end perspective traffic pattern web application lightweight loss-resilient protocol end-system architecture congestion manager novel framework long-term stability several trend good application performance pas information schedule data transmission multiple independent concurrent flow ratebased scheme stable network behavior additive increase multiplicative decrease proper congestion behavior

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