Abstract

Computer technology for communication has become an integral aspect of daily operation. The exponential growth of internet services with dynamic inquiries in such areas as manufacturing, business, air traffic control and mission critical systems demands that there be quick, reliable and safe use of services. Each service must contain QoS metrics to assure security, performance and accuracy. A new paradigm of resource management middleware techniques is in this paper presented which can provide QoS for dynamic, distributed real-time systems on Common Off The Shelf (COTS) operating systems. Accommodation of dynamic environments enables the middleware to carefully consider an efficient design of resource profiling, resource needs estimation, resource unification, and performance analysis (or compliant with schedulability analysis) infrastructure providing significant benefits for QoS management on COTS operating systems. First, the use of low-cost COTS systems is extended to real-time computing without changing the operating system. Further, experiments for response time analysis confirm that the worst-case analysis poorly utilizes computational resources. Finally, it is shown that the new method of middleware design employing scalability of software and hardware system can be easily applied to legacy systems to manage resources efficiently for quick, reliable services and accurate QoS. Document type: Part of book or chapter of book

Abstract

Many industries have been transformed by the provision of service solutions characterised by personalisation and customisation - most dramatically the development of the iPhone. Personalisation and customisation stand to make an impact on cars and mobility in comparable ways. The automobile industry has a major role to play in this change, with moves towards electric vehicles, auton-omous cars, and car sharing as a service. These developments are likely to bring disruptive changes to the business of car manufacturers as well as to drivers. However, in the automobile industry, both the user's preferences and demands and also safety issues need to be confronted since the frequent use of different makes and models of cars, implied by car sharing, entails several risks due to variations in car controls depending on the manufacturer. Two constituencies, in particular, are likely to experience even more difficulties than they already do at present, namely older people and those with capability variations. To overcome these challenges, and as a means to empower a wide car user base, the paper here presents a basic concept of an intelligent driver profiling system for cars: the sys-tem would enable various car characteristics to be tailored according to individual driver-dependent profiles. It is intended that wherever possible the system will personalise the characteristics of individual car components; where this is not possible, however, an initial customisation will be performed. Document type: Part of book or chapter of book