JOURNAL ARTICLE

High-speed switch scheduling for local-area networks

Thomas E. AndersonSusan OwickiJames B. SaxeCharles P. Thacker

Year: 1993 Journal:   ACM Transactions on Computer Systems Vol: 11 (4)Pages: 319-352   Publisher: Association for Computing Machinery

Abstract

Current technology trends make it possible to build communication networks that can support high-performance distributed computing. This paper describes issues in the design of a prototype switch for an arbitrary topology point-to-point network with link speeds of up to 1 Gbit/s. The switch deals in fixed-length ATM-style cells, which it can process at a rate of 37 million cells per second. It provides high bandwidth and low latency for datagram traffic. In addition, it supports real-time traffic by providing bandwidth reservations with guaranteed latency bounds. The key to the switch's operation is a technique called parallel iterative matching , which can quickly identify a set of conflict-free cells for transmission in a time slot. Bandwidth reservations are accommodated in the switch by building a fixed schedule for transporting cells from reserved flows across the switch; parallel iterative matching can fill unused slots with datagram traffic. Finally, we note that parallel iterative matching may not allocate bandwidth fairly among flows of datagram traffic. We describe a technique called statistical matching , which can be used to ensure fairness at the switch and to support applications with rapidly changing needs for guaranteed bandwidth.

Keywords:
Computer science Datagram Computer network Bandwidth (computing) Bandwidth allocation Scheduling (production processes) Distributed computing Network packet

Metrics

890
Cited By
17.30
FWCI (Field Weighted Citation Impact)
31
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Interconnection Networks and Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Embedded Systems Design Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture

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