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Efficient context-aware computing: a systematic model for dynamic working memory updates in context-aware computing.
Ali, Mumtaz; Arshad, Muhammad; Uddin, Ijaz; Binsawad, Muhammad; Bin Sawad, Abdullah; Sohaib, Osama.
Afiliación
  • Ali M; Department of Computer Science, City University of Science and Information Technology, Peshawar, Pakistan.
  • Arshad M; Department of Computer Science, City University of Science and Information Technology, Peshawar, Pakistan.
  • Uddin I; Department of Computer Science, City University of Science and Information Technology, Peshawar, Pakistan.
  • Binsawad M; Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Bin Sawad A; Department of Computer and Information Technology, The Applied College, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Sohaib O; School of Computer Science, University of Technology Sydney, Sydney, Australia.
PeerJ Comput Sci ; 10: e2129, 2024.
Article en En | MEDLINE | ID: mdl-38983231
ABSTRACT
The expanding computer landscape leads us toward ubiquitous computing, in which smart gadgets seamlessly provide intelligent services anytime, anywhere. Smartphones and other smart devices with multiple sensors are at the vanguard of this paradigm, enabling context-aware computing. Similar setups are also known as smart spaces. Context-aware systems, primarily deployed on mobile and other resource-constrained wearable devices, use a variety of implementation approaches. Rule-based reasoning, noted for its simplicity, is based on a collection of assertions in working memory and a set of rules that regulate decision-making. However, controlling working memory capacity efficiently is a key challenge, particularly in the context of resource-constrained systems. The paper's main focus lies in addressing the dynamic working memory challenge in memory-constrained devices by introducing a systematic method for content removal. The initiative intends to improve the creation of intelligent systems for resource-constrained devices, optimize memory utilization, and enhance context-aware computing.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: PeerJ Comput Sci Año: 2024 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: PeerJ Comput Sci Año: 2024 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Estados Unidos