Abstract:Pervasive systems, and domotics in particular, is an application area where heterogeneity is the norm, with thousands of autonomous heterogeneous devices live together and need to interoperate. One of the greatest difficulties in developing middleware for smart homes is that this kind of systems are extremely difficult to test and verify. We propose to reduce the testing costs by replacing actual home services with virtual stubs behaving as if they were actual hardware installed somewhere in the house and, mos… Show more
“…The major challenge for such tools is to integrate highly heterogeneous components and to provide a link with the physical environment. We extend our previous work on the RuG ViSi tool [4], in a number of ways: first, we provide a customizable and interactive middleware based on open standards (UPnP and OSGi) [3]; second, we allow any composition engine to guide the simulation and visualization (not only predefined compositions using BPEL) [3]; third, the interaction with simulated or physical devices is modular and bidirectional, i.e., a device can change the state of the simulation. In the demo, we use an AI planner to guide the simulation, a number of simulated UPnP devices, a real device running Java, and a two room apartment.…”
Section: A Tool For Integrating Pervasive Services and Simulating Thementioning
confidence: 97%
“…The simulation and visualisation platform -the RuG ViSi toolis an extension of our initial work presented last year at the ICSOC Demo session [4]. It is based on Google SketchUp for the 3D rendering.…”
Section: The Pervasive Platform Includes a Set Of Simulatedmentioning
“…The major challenge for such tools is to integrate highly heterogeneous components and to provide a link with the physical environment. We extend our previous work on the RuG ViSi tool [4], in a number of ways: first, we provide a customizable and interactive middleware based on open standards (UPnP and OSGi) [3]; second, we allow any composition engine to guide the simulation and visualization (not only predefined compositions using BPEL) [3]; third, the interaction with simulated or physical devices is modular and bidirectional, i.e., a device can change the state of the simulation. In the demo, we use an AI planner to guide the simulation, a number of simulated UPnP devices, a real device running Java, and a two room apartment.…”
Section: A Tool For Integrating Pervasive Services and Simulating Thementioning
confidence: 97%
“…The simulation and visualisation platform -the RuG ViSi toolis an extension of our initial work presented last year at the ICSOC Demo session [4]. It is based on Google SketchUp for the 3D rendering.…”
Section: The Pervasive Platform Includes a Set Of Simulatedmentioning
“…If such sensors are not available, due to the use of third party services for instance, assumptions must be made. Sensors can be provided, for instance, by specific web services which enable the information integration into existing event infrastructures [22]. In some cases, a sensor is insufficient as data cannot be provided based on simple measurements.…”
Section: Business Process Management Architecturementioning
Environmentally-aware resource usage has become an important aspect for today's industries, governments, and organizations. Customer demands, legal requirements, and financial aspects force organizations to rethink and reorganize their existing structures and business processes. Along with an increasing adoption of Business Process Management (BPM) in organizations, efforts are being made to also enable a green rethinking and change of BPM. However, in order to be capable of performing business in a green manner, the "delta" has to be known that distinguishes green business process management from the conventional one. In this paper, we investigate key perspectives of conventional BPM and compare them to requirements originating from an environmental perspective. The key perspectives we refer to are the business process lifecycle, key performance indicators, BPM architectures, and business and strategy. We highlight aspects that need to be extended, newly developed, or refined in order to achieve a holistic green BPM approach.
“…In Lazovik et al [2009] we used a BPEL engine to demonstrate some complex scenarios on the visualization platform. In Redondo et al [2008], composite services deployed as BPEL processes are made available in a semantically enriched OSGi platform.…”
Section: Service Composition In Pervasive Systemsmentioning
Domotics, concerned with the realization of intelligent home environments, is a novel field which can highly benefit from solutions inspired by service-oriented principles to enhance the convenience and security of modern home residents. In this work, we present an architecture for a smart home, starting from the lower device interconnectivity level up to the higher application layers that undertake the load of complex functionalities and provide a number of services to end-users. We claim that in order for smart homes to exhibit a genuinely intelligent behavior, the ability to compute compositions of individual devices automatically and dynamically is paramount. To this end, we incorporate into the architecture a composition component that employs artificial intelligence domain-independent planning to generate compositions at runtime, in a constantly evolving environment. We have implemented a fully working prototype that realizes such an architecture, and have evaluated it both in terms of performance as well as from the end-user point of view. The results of the evaluation show that the service-oriented architectural design and the support for dynamic compositions is quite efficient from the technical point of view, and that the system succeeds in satisfying the expectations and objectives of the users.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.