2005Unpublished venueRequires access

Aperiodic servers with resource constraints

Marco Caccamo, Lui Sha

Open publisher page 73 citations

Abstract

Integrating soft and hard activities in a real-time environment has been an active area of research both under fixed priority scheduling and dynamic priority scheduling. Most of the existing work, however, has been done under the assumption that soft real-time tasks and hard real-time tasks are independent. The paper presents an efficient method that allows soft realtime aperiodic tasks and hard real-time tasks to share resources.

About this research paper

What this paper is about

Integrating soft and hard activities in a real-time environment has been an active area of research both under fixed priority scheduling and dynamic priority scheduling. Most of the existing work, however, has been done under the assumption that soft real-time tasks and hard real-time tasks are independent. The paper presents an efficient method that allows soft realtime aperiodic tasks and hard real-time tasks to share resources.

Why it matters

OpenAlex reports 73 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Integrating soft and hard activities in a real-time environment has been an active area of research both under fixed priority scheduling and dynamic priority scheduling. Most of the existing work, however, has been done under the assumption that soft real-time tasks and hard real-time tasks are independent. The paper presents an efficient method that allows soft realtime aperiodic tasks and hard real-time tasks to share resources.

Key concepts: Aperiodic graph, Computer science, Scheduling (production processes), Processor scheduling, Distributed computing, Server, Real-time computing, Dynamic priority scheduling

Related papers

Back to paper searchBrowse research topicsOriginal source
Aperiodic servers with resource constraints — Research Paper | ScholarLens