The aperiodic multiprocessor utilization bound for liquid tasks
Paper i proceeding, 2002

Real-time scheduling theory has developed powerful tools for translating conditions on aggregate system utilization into per-task schedulability guarantees. The main breakthrough has been Liu and Layland's utilization bound for schedulability of periodic tasks. In 2001 this bound was generalized by Abdelzaher and Lu to the aperiodic task case. In this paper we further generalize the aperiodic bound to the case of multiprocessors, and present key new insights into schedulability, analysis of aperiodic tasks. We consider a special task model, called the liquid task model, representative of high-performance servers with aperiodic workloads, such as network routers, web servers, proxies, and real-time databases. For this model, we derive the optimal multiprocessor utilization bound, defined on a utilization-like metric we call "synthetic utilization". This bound allows developing constant-time admission control tests that provide utilization-based absolute delay, tees. We show that the real utilization of admitted tasks can be close to unity even when synthetic utilization is kept below the bound. Thus, our results lead to multiprocessor systems which combine constant-time admission control with high utilization while making no periodicity assumptions regarding the task arrival pattern.

real-time databases

multiprocessors

proxies

web servers

aperiodic multiprocessor utilization bound

constant-time admission control

task model

liquid tasks

network routers

high-performance servers

aggregate system utilization

per-task schedulability

real-time scheduling theory

Författare

T. Abdelzaher

Björn Andersson

Chalmers, Institutionen för datorteknik

Jan Jonsson

Chalmers, Institutionen för datorteknik

V. Sharma

M. Nguyen

8th IEEE Real-Time and Embedded Technology and Applications Symposium, 2002. Proceedings

1545-3421 (ISSN)

173-184

Ämneskategorier

Datorteknik

DOI

10.1109/RTTAS.2002.1137392

ISBN

0-7695-1739-0

Mer information

Skapat

2017-10-08