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Intelligent industry and manufacturing requires obtaining relevant sensor data and process information in real-time from all components in the manufacturing value-chain. It is envisioned that smart industry is achieved by embedding connectivity into industrial products, using Cloud and Internet-of-things (IoT) to leverage intelligence and actionable knowledge for machines, autonomous collaboration...
Cloud computing and Internet of Things (IoT) are computing technologies that provide services to consumers and businesses, allowing organizations to become more agile and flexible. The potential business values that cloud consumers can achieve depend a lot on the quality of service in the provided cloud services. Therefore, ensuring the quality of service through service-level agreements (SLA) for...
This paper investigates the interplay of cloud computing, fog computing, and Internet of Things (IoT) in control applications targeting the automation industry. In this context, a prototype is developed to explore the use of IoT devices that communicate with a cloud-based controller, i.e., the controller is offloaded to cloud or fog. Several experiments are performed to investigate the consequences...
Using internet of things (IoT) to connect things, service, and people for intelligent operations has been discussed and deployed in many industry domains such as smart city, smart energy, healthcare, food and water tracking, logistics and retail, and transportation. However, scarce information is available for IoT usage in industrial automation domain for reliable and collaborative automation with...
Cloud Computing has emerged as a new paradigm in the field of network-based services within many industrial and application domains. The major benefits that it provides in terms of IT efficiency and business agility represent a huge competitive advantage for an organization. However, building new services in the cloud or designing cloud-based solutions into existing business context in general is...
Performing system test for large-scale industrial systems is a challenging activity due to the complexity involved in managing the variety of distributed hardware systems in general, and the hardware-related challenges in test environment in particular. Virtualization technology opens up the possibility to address these challenges, e.g., with respect to cost efficient scalability. In this paper, we...
Today's industrial control systems store large amounts of monitored sensor data in order to optimize industrial processes. In the last decades, architects have designed such systems mainly under the assumption that they operate in closed, plant-side IT infrastructures without horizontal scalability. Cloud technologies could be used in this context to save local IT costs and enable higher scalability,...
Cloud Computing is changing the services consumption and delivery platform as well as the way businesses and users interact with IT resources. It represents a major conceptual shift that introduces new elements in programming models and development environments that are not present in traditional technologies. The evolution of Cloud Computing motivates teaching Cloud Computing to computer science...
The technique of virtualization and cloud computing to manage system functionality and resources regardless of their physical locations is changing the way businesses and users interact with IT resources. Although several commercially available virtualization solutions already exist in the market, both for server and embedded real-time based systems, the deployment of virtualization and cloud-based...
Software evolvability describes a software system’s ability to easily accommodate future changes. It is a fundamental characteristic for making strategic decisions, and increasing economic value of software. For long-lived systems, there is a need to address evolvability explicitly during the entire software lifecycle in order to prolong the productive lifetime of software systems. For this reason,...
For long-lived systems, there is a need to address evolvability (i.e. a system's ability to easily accommodate changes) explicitly during the entire lifecycle. In this paper, we undertake a systematic review to obtain an overview of the existing studies in promoting software evolvability at architectural level. The search strategy identified 58 studies that were catalogued as primary studies for this...
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