English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The hardware infrastructure that provides the support of ubiquitous embedded computing may be shared by different applications. Many of those applications have real-time requirements, where events from the environment require the reaction of the computing system. The meeting of deadlines is hindered by the fast system dynamics. At the same time, the embedded system must deal with overload situations. In this paper we assume that an embedded application receives aperiodic requests with soft deadlines. Other unknown applications are executed simultaneously. The goal of this paper is to discuss algorithms to estimate the probability of a deadline to be met. The prediction of a deadline miss at the request arrival allows actions for damage control.

Soft Real-Time Task Response Time Prediction in Dynamic Embedded Systems