Distributed collaborative context-aware content-centric workflow management for mobile devices

Ubiquitous mobile devices have become a necessity in today’s society, opening new opportunities for interaction and collaboration between geographically distributed people. With the increased use of mobile phones, people can collaborate while on the move. Collaborators expect technologies that would enhance their teamwork and respond to their individual needs. Workflow is a widely used technology that supports collaboration and can be adapted for a variety of collaborative scenarios. Although the originally computer-based workflow technology has expanded also on mobile devices, there are still research challenges in the development of user-focused device-oriented collaborative workflows. As opposed to desktop computers, mobile devices provide a different, more personalised user experience and are carried by their owners everywhere. Mobile devices can capture user context and behave as digitalised user complements. By integrating context awareness into the workflow technology, workflow decisions can be based on local, context information and therefore, be more adapted to individual collaborators’ circumstances and expectations. Knowing the current context of collaborators and their mobile devices is useful, especially in mobile peer-topeer collaboration where the workflow process execution can be driven by devices according to the situation. In mobile collaboration, team workers share pictures, videos, or other content. Monitoring and exchanging the information on the current state of the content processed on devices can enhance the overall workflow execution. As mobile devices in peer-to-peer collaboration are not aware of a global workflow state, the content state information can be used to communicate progress among collaborators. However, there is still a lack of integrating content lifecycles in process-oriented workflows. The aim of this research was therefore to investigate how workflow technology can be adapted for mobile peer-to-peer collaboration, in particular, how the level of context awareness in mobile collaborative workflows can be increased and how the extra content lifecycle management support can be integrated. The collaborative workflow technology has been adapted for mobile peerto- peer collaboration by integrating context and content awareness. In the first place, a workflow-specific context management approach has been developed that allows defining workflow-specific context models and supports the integration of context models with collaborative workflows. Workflow process has been adapted to make decisions based on context information. Secondly, extra content management support has been added to the workflow technology. A representation for content lifecycles has been designed, and content lifecycles have been integrated with the workflow process. In this thesis, the MobWEL workflow approach is introduced. The Mob- WEL workflow approach allows defining, managing and executing mobile context-aware content-centric workflows. MobWEL is a workflow execution language that extends BPEL, using constructs from existing workflow approaches, Context4BPEL and BPELlight, and adopting elements from the BALSA workflow model. The MobWEL workflow management approach is a technology-based solution that has been designed to provide workflow management support to a specific class of mobile applications

A resource-oriented architecture for business process systems

Background: The REpresentational State Transfer (REST) design principles treat all concepts in the world as link-connected resources, and support ROA (Resource-Oriented Architecture) for the Web applications. REST and ROA are responsible for the adaptability achieved in the Web. Some design approaches of Web-based business process systems recently evolved towards RESTful to inherit adaptability. However, none of the approaches can improve the adaptability of the produced systems. Aims: Propose a systematic approach for design and execution of Web-based business processes to improve adaptability of the produced systems. Methods: This research followed an empirical research methodology, which evaluates research solutions with real-world cases. On one hand, the research solution was derived by 1) tailoring the REST principles towards business process systems; 2) proposing REST annotations on existing business process modelling; 3) mapping the concepts of business process to HTTP/URI specifications; and 4) designing a format for process context information. On the other hand, the research solution was evaluated through three real-world case studies. Two of the case studies conducted comparative analysis in terms of adaptability of the systems produced by the proposed approach and two alternatives, namely, SOA and MEST (MESsage Transfer). The analysis is based on metrics, including LOC difference, change locality, coupling and cohesion, and an analysis framework called BASE. Results: The research solution is ROA4BP, which includes 1) an architecting approach for design and implementation of Web-based business processes to provide a development guideline; 2) a set of REST-related annotations on existing process modelling to ensure the compatibility with existing techniques; 3) A systematic mapping between business process and HTTP/URI specifications to utilize the advanced mechanisms provided by the Web infrastructure; and 4) a communication format to exchange structured process context information during runtime among process participants. A modelling tool, a programming API and a runtime engine were implemented to support the approach and simplify the implementation of case studies. The case studies demonstrated that ROA4BP can produce more adaptable business process systems compared to the other two alternatives. Conclusion: ROA4BP can help to design and execute RESTful business process systems with better adaptability at design-time and runtime

A scientific workflow framework for scientific data querying and processing

We are at the beginning of the new era of ``e-science\u27\u27. Researchers in many areas of science, especially in astrophysics, physics, climatology and biology, are now facing tremendous increases in data volumes, as well as corresponding data analysis tools. These increased data and tools demand a better framework to manage the new generation scientific research cycle from data capture, data curation to data analysis, data query and data visualization. Scientific workflows are proving to be one of the key technologies for scientists to formalize and structure complex scientific processes to enable and accelerate many significant scientific discoveries. Although several scientific workflow management systems (SWFMSs) are developed, a formal scientific workflow composition framework, in which workflows and constructs can be composed arbitrarily to process and query collectional scientific data sets, is still to be proposed. In this thesis, I make several contributions towards formalizing a scientific workflow composition framework. First, We proposed a dataflow-based scientific workflow composition model including a scientific workflow model that separates the declaration of the workflow interface from the definition of its functional body; and a set of workflow constructs, including Map, Reduce, Tree, Loop, Conditional, and Curry, which are fully compositional one with another. Our workflow composition framework is unique in that workflows are the only operands for composition; in this way, our approach elegantly solves the two-world problem in existing composition frameworks, in which composition needs to deal with both the world of tasks and the world of workflows. Second, We formalized a collection-oriented data model, called collectional data model, to model hierarchical collection-oriented scientific data, and a set of well-defined operators to manipulate and query such data. To our best knowledge, this is the first algebraic approach to modeling collection-oriented scientific data. Finally, we developed a prototype scientific workflow management system, called View. The View system implemented the above techniques in its subsystems and integrated them within a service-oriented architecture