An analytical model for evaluating interrupt-driven system performance of gigabit ethernet hosts with finite buffer

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

A novel analytical model based on Markov processes is developed to study the impact of interrupt overhead on operating system performance of network hosts such as PC-based routers, servers, and end hosts when subjected to Gigabit network traffic. Under heavy network traffic, the system performance will be negatively affected due to interrupt overhead caused by incoming traffic. In particular, excessive latency and significant degradation in system throughput can be experienced. Also, user applications may livelock as the CPU power is mostly consumed by interrupt handling and protocol processing. In this paper, we present an analytical model to evaluate system performance. The system performance is studied in terms of throughput, latency, stability condition, CPU utilizations of interrupt handling and protocol processing, and CPU availability for user applications. The analysis can be instrumental in choosing system design parameters offline, therefore allows capacity planning and system diagnosis. Analytical results are compared with the ideal limited buffer queueing system without interrupt overhead.

Original languageBritish English
Pages (from-to)983-988
Number of pages6
JournalProceedings - IEEE Symposium on Computers and Communications
StatePublished - 2005
Event10th IEEE Symposium on Computers and Communications, ISCC 2005 - Murcia, Spain
Duration: 27 Jun 200530 Jun 2005

Fingerprint

Dive into the research topics of 'An analytical model for evaluating interrupt-driven system performance of gigabit ethernet hosts with finite buffer'. Together they form a unique fingerprint.

Cite this