Year: 2023
Type: article
Abstract: Current Internet of Things (IoT) devices provide a diverse range of functionalities, ranging from measurement and dissemination of sensory data observation, to computation services for real-time data stream processing. In extreme situations such as emergencies, a significant benefit of IoT devices is that they can help gain a more complete situational understanding of the environment. However, this requires the ability to utilize IoT resources while taking into account location, battery life, and other constraints of the underlying edge and IoT devices. A dynamic approach is proposed for orchestration and management of distributed workflow applications using services available in cloud data centers, deployed on servers, or IoT devices at the network edge. Our proposed approach is specifically designed for knowledge-driven business process workflows that are adaptive, interactive, evolvable and emergent. A comprehensive empirical evaluation shows that the proposed approach is effective and resilient to situational changes.
Source: IEEE Internet of Things Journal
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: Scalable Circular Supply Chain For the Built Environment, I/UCRC: Center for Hybrid Multicore Productivity Research (CHMPR) - Rutgers Site, IUCRC Phase I Rutgers, Newark: Center for Accelerated Real Time Analytics (CARTA), G6807676135, Developing novel technologies that ensure privacy and security in biomedical data science research
OpenAlex ID: W4385938155