Skip navigation

Adaptive status arrivals policy (ASAP) delivering fresh information (minimise peak age) in real-World scenarios

Adaptive status arrivals policy (ASAP) delivering fresh information (minimise peak age) in real-World scenarios

Barakat, Basel ORCID: 0000-0001-9126-7613, Keates, Simeon ORCID: 0000-0002-2826-672X, Wassell, Ian and Arshad, Kamran (2019) Adaptive status arrivals policy (ASAP) delivering fresh information (minimise peak age) in real-World scenarios. In: Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments. Lecture Notes in Computer Science (11573). Springer, Cham, Switzerland, pp. 419-430. ISBN 978-3030235628 ISSN 1611-3349 (Print), 0302-9743 (Online) (doi:https://doi.org/10.1007/978-3-030-23563-5_33)

[img] PDF (Author's Accepted Manuscript)
24748 BARAKAT_ASAP_Delivering_Fresh_Information_(AAM)_2019.pdf - Accepted Version
Restricted to Registered users only

Download (469kB) | Request a copy

Abstract

Real-time systems make their decisions based on information communicated from sensors. Consequently, delivering information in a timely manner is critical to such systems. In this paper, a policy for delivering fresh information (or minimising the Peak Age of the information) is proposed. The proposed policy, i.e., the Adaptive Status Arrivals Policy (ASAP), adaptively controls the timing between updates to enhance the Peak Age (PA) performance of real-time systems. Firstly, an optimal value for the inter-arrival rate is derived. Afterwards, we implemented the policy in three scenarios and measured the ASAP PA performance. The experiments showed that ASAP is able to approach the theoretical optimal PA performance. Moreover, it can deliver fresh information in scenarios where the server is located in the cloud.

Item Type: Conference Proceedings
Title of Proceedings: Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments
Additional Information: 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part II.
Uncontrolled Keywords: Real Time Systems, Cloud, Adaptive Systems, Information Freshness, Peak Age of Information.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
Faculty of Engineering & Science > Future Technology and the Internet of Things
Related URLs:
Last Modified: 27 Sep 2019 09:16
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/24748

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics