In the application scenario of a smart factory, computing tasks devices are intensive, and these sensitive to delay. The need offload their an edge server for execution. However, resources servers limited, workload imbalance will tend arise among multiple servers. To solve problems, we propose joint optimization scheme task caching offloading based on awareness, which decouples problem into two...

There has been a growing trend toward the automated generation of massive data at multiple distributed locations, leading to a future of computing that is data-rich, heterogeneous, distributed, and rife with uncertainty. Examples include systems to monitor the physical world, such as wireless sensor networks, and systems to monitor complex infrastructures, such as distributed Internet monitors....

Abstract Monitoring the state of currently running processes and reacting to ad-hoc situations during runtime is a key challenge in Business Process Management (BPM) . This especially case cyber-physical environments that are characterized by high context sensitivity. MAPE-K control loops widely used for self-management these describe four phases approaching this challenge: Monitor, Analyze, Pl...

Intelligent environments (IEs) are smart spaces that are equipped with seamless computing technologies to empower the occupants/users of those spaces for completing the activities of daily living in an efficient way, while insuring security, safety and optimal usage of resources. Naturally, IEs cover a number of settings going from offices, hospitals, schools, factories to cities. While IEs tec...

The classical view of cyber-physical systems is that the integration of computing, communication and control elements are considering only the physical and computational elements, neglecting the human one. This paper presents a view on an anthropocentric cyber-physical reference architecture for smart factories (ACPA4SF), where the key characteristic of its reference model relies on is its unif...

This paper discusses the complementarity of human and cyber physical production systems (CPPS). The discourse of complementarity is elaborated by defining five criteria for comparing the characteristics of human and CPPS. Finally, a management portfolio matrix is proposed for examining the feasibility of optimal collaboration between them. The optimal collaboration refers to the exchange of kno...

Industry 4.0 is the called 4th technological revolution, where digital and physical marketplaces and manufacturing technologies converge to enable smart manufacturing and factories of the future. This paper presents an overview of a representative set of marketplace platforms available to support supply chain processes underpinning Industry 4.0. We develop a gap analysis of existing marketplace...

The European research project INT-MANUS embedded in the I*PROMS European network of excellence addresses the increasing demand for flexibility and adaptivity, which is summarized by rapid reconfigurations of complete factories as well as related aspects in Human Computer Interaction (HCI), Software, and Production Systems. The project’s main goal is to develop a new technology for the productio...

Wireless sensors are currently widely applied in various industries. Wireless sensor networks (WSNs) are a type of infrastructure for smart factories in the Industry 4.0 era. Indoor deployment planning for WSNs is vital in three-dimensional (3D) plant spaces. Planning for WSN installation requires considering the following factors: (a) fault tolerance, (b) scalability, (c) cost, (d) hardware co...

A smart factory is a fully automated production system enabled with novel digital technologies. Numerous studies consider its emergence as the arrival of new wave innovation. However, research scant on why adoption rate has lagged behind expectations investors and policymakers. Thus, this study examined effect top management support for information systems, existing perceived usefulness factori...