Narrow Results

Simulations have traditionally been used as off-line tools for examining process models and experimenting with system models for which it would have been either impossible or too dangerous, expensive, or time-consuming, to perform with physical systems. We propose a novel way of regarding simulations as part of both the development and the working phases of systems. In our approach simulation is used within the processing and control loop of the system to provide sensor and state expectations. This minimizes the inverse sensory data analysis and model maintenance problems. We refer to this mode of operation as the verification mode, in contrast to the traditional discovery mode.

In order to provide simulations and planning that are intertwined with the control of a physical system, temporal issues have to be considered. By limiting the focus of the system to small portions of complex models which are temporarily relevant to the system’s operation, the system is able to maintain its models and respond faster. For this we employ the Context-based Caching (CbC) mechanism within our Mobile Platform Control and Simulation Program (MOSIM). CbC is a knowledge management technique which maintains large knowledge bases by making the necessary information available at the right time.

Platform operators rely on external contributions that complement their own development activities. Although previous research has analysed which conditions are beneficial in attracting developers, only scant research is concerned with the motivation and work behaviour of application developers. The authors survey 395 Apple iOS and Android developers to test a model of perceived platform openness, developer work motivation, and resulting behaviour that builds upon self-determination theory. The findings suggest that future research would benefit from a more thorough consideration of platform openness, as not all paths of the model are equally strong for open vs closed platforms.

The world is facing an era in which technology has a crucial impact on the growth of businesses. It is claimed that in 2020 20 billion devices will be connected to the internet, therefore, data is crucial for employees, customers and organisations. The implementation of the European General Data Protection Regulation (GDPR) gives the owner better control of their personal data. Consequently, organisations must be prepared to face cutting-edge threats to security in order to protect individuals against potential harm caused by unauthorized access to their data. Bring Your Own Device (BYOD) is a policy which provides some flexibility within organisations, and which results in better commitment in employees. This chapter analyses the impact of GDPR in BYOD architectures and proposes the integration of a multi-layer policy with an Information Governance Framework to ensure data privacy, focusing on the human factor when protecting personal devices.

Simulations have traditionally been used as off-line tools for examining process models and experimenting with system models for which it would have been either impossible or too dangerous, expensive, or time-consuming, to perform with physical systems. We propose a novel way of regarding simulations as part of both the development and the working phases of systems. In our approach simulation is used within the processing and control loop of the system to provide sensor and state expectations. This minimizes the inverse sensory data analysis and model maintenance problems. We refer to this mode of operation as the verification mode, in contrast to the traditional discovery mode.

In order to provide simulations and planning that are intertwined with the control of a physical system, temporal issues have to be considered. By limiting the focus of the system to small portions of complex models which are temporarily relevant to the system's operation, the system is able to maintain its models and respond faster. For this we employ the Context-based Caching (CbC) mechanism within our Mobile Platform Control and Simulation Program (MOSIM). CbC is a knowledge management technique which maintains large knowledge bases by making the necessary information available at the right time.