Abstract-The computational capability of smart mobile devices increasingly fosters their prevalence in many business domains. Along this trend, process management technology is going to be enhanced with mobile task support. However, tasks executed stationarily so far cannot be simply transfered to mobile devices. For the latter purpose, we developed an approach within the MARPLE project enabling mobile and robust task execution in the context of business processes. In particular, this approach provides self-healing techniques that relieve mobile users from manually handling errors (e.g., lost connections) during mobile task execution. In this paper, we extend the collaboration facilities of our approach by adding entailment constraints to mobile task management. In the context of a business process, for example, two tasks may have to be executed by the same (mobile) user. Related research on integrating such constraints with business processes has received growing attention recently. However, realizing entailment constraints in the context of mobile processes and tasks raises additional issues, which must be probably integrated with the mentioned error handling techniques. We present fundamental entailment constraints supported by our approach and discuss how they can be realized in a robust and flexible manner. In particular, this will significantly enhance mobile task and process support in next generation information systems.

Searching for lost keys, wallets or mobile phones is a common nuisance. Compared to digital information, search support for physical objects is very limited. We propose Find My Stuff (FiMS) as a search engine for physical objects. We built a fully functional Arduino-based prototype. FiMS offers the users a simple search interface to locate tagged physical items in different indoor environments. A hierarchical search process ensures energy efficient and effective searches. Instead of a fixed search infrastructure, the localization system is based on SmartFurniture equipped with RFID readers and ZigBee modules. Search results provide intuitive search cues based on relative positioning to support users in the physical retrieval of their lost objects. The system requires no manual calibration and is robust against rearrangement of SmartFurniture. Safety mechanisms prevent abuse of the system and protect user privacy.

Process management technology constitutes a fundamental component of any service-driven computing environment. Process management facilitates both the composition of services at design-time and their orchestration at runtime. In particular, when applying the service paradigm to enterprise integration, high flexibility is required. In this context, atomic as well as composite services representing the business functions should be quickly adaptable to cope with dynamic business changes. Furthermore, they should enable mobile and quick access to enterprise information. The growing maturity of smart mobile devices has fostered their prevalence in knowledge-intensive areas in the enterprise as well. As a consequence, process management technology needs to be extended with mobile task support. However, process tasks, hitherto executed in a stationary manner, cannot be simply transferred to run on smart mobile devices. Many research groups focus on the partitioning of processes and the distributed execution of the resulting fragments on smart mobile devices. Opposed to this fragmentation concept, this chapter proposes an approach to enable the robust and flexible execution of single process tasks on smart mobile devices by provisioning self-healing techniques to address the smooth integration of mobile tasks with business processes.

Process management technology constitutes a fundamental component of any service-driven computing environment. Process management facilitates both the composition of services at design-time and their orchestration at runtime. In particular, when applying the service paradigm to enterprise integration, high flexibility is required. In this context, atomic as well as composite services representing the business functions should be quickly adaptable to cope with dynamic business changes. Furthermore, they should enable mobile and quick access to enterprise information. The growing maturity of smart mobile devices has fostered their prevalence in knowledge-intensive areas in the enterprise as well. As a consequence, process management technology needs to be extended with mobile task support. However, process tasks, hitherto executed in a stationary manner, cannot be simply transferred to run on smart mobile devices. Many research groups focus on the partitioning of processes and the distributed execution of the resulting fragments on smart mobile devices. Opposed to this fragmentation concept, this chapter proposes an approach to enable the robust and flexible execution of single process tasks on smart mobile devices by provisioning self-healing techniques to address the smooth integration of mobile tasks with business processes.

Searching for misplaced keys, phones, or wallets is a common nuisance. Find My Stuff (FiMS) provides search support for physical objects inside furniture, on room level, and in multiple locations, e.g., home and office. Stuff tags make objects searchable while all other localization components are integrated into furniture. FiMS requires minimal configuration and automatically adapts to the user's furniture arrangement. Object search is supported with relative position cues, such as "phone is inside top drawer" or "the wallet is between couch and table," which do not require exact object localization. Functional evaluation of our prototype shows the approach's practicality with sufficient accuracy in realistic environments and low energy consumption. We also conducted two user studies, which showed that objects can be retrieved significantly faster with FiMS than manual search and that our relative position cues provide better support than mapbased cues. Combined with audiovisual feedback, FiMS also outperforms spotlight-based cues.