580 California St., Suite 400
San Francisco, CA, 94104
Key research themes
1. How can integrated engineering frameworks effectively model and design multi-dimensional service ecosystems in the Internet of Services?
This research area focuses on developing comprehensive frameworks and methodologies that address the inherent complexity and multifaceted nature of Internet of Services (IoS)-based service modeling. Effective service engineering requires combining business, operational, and technical perspectives in a cohesive manner, while accounting for aspects such as legal regulations, service level agreements (SLAs), pricing models, and dynamic context. Understanding and managing these dimensions is crucial for enabling interoperable, adaptable, and tradable service entities that align with both business value and technical execution.
Key finding: Introduces the Integrated Service Engineering (ISE) framework and workbench that apply separation of concerns and model-driven design to effectively model IoS-based services across business, operation, and technical layers.... Read more
Key finding: Provides an empirical investigation into challenges of designing service-based applications (SBAs) within a Service-Oriented Architecture (SOA). The work highlights ambiguities in existing SOA concepts and proposes a design... Read more
Key finding: Analyzes the transformational impact of service-oriented architectures (SOA) on software engineering, especially concerning software evolution and flexibility. The paper foregrounds challenges in dynamic service discovery,... Read more
2. What are the socio-technical dimensions and models that characterize complex service systems, and how do they inform business and technological integration?
This research theme examines service systems as inherently socio-technical entities that encompass people, technology, organizational structures, and environmental contexts, requiring interdisciplinary approaches. It emphasizes co-creation, service composition, and the systemic interactions among these elements. By developing ontologies and holistic frameworks, it advances understanding of services beyond mere technical artifacts, facilitating better alignment between business value creation and the technical realization of services within complex ecosystems.
Key finding: Presents a rich overview of service system models highlighting diverse ontological perspectives that integrate socio-technical dimensions including participants, resources, artifacts, and environment. Introduces frameworks... Read more
Key finding: Breaks down the multifaceted nature of services, distinguishing informational from complex services and identifying their characteristics such as intangibility, heterogeneity, and composability. It articulates the importance... Read more
Key finding: Articulates the crossroads at which service computing stands, emphasizing the need to incorporate human concerns such as trust and reputation alongside data and interaction semantics. It proposes a strategic research roadmap... Read more
3. How do service-oriented architectures enable innovation in distributed applications and influence evolving business models leveraging web-based and cloud technologies?
This research area addresses the role of service-oriented architectures (SOA) and web/cloud-based services in transforming software application paradigms and business models. It examines platform designs supporting flexible, dynamic, and scalable service provisioning and highlights shifts in enterprise strategies that embrace open innovation, service outsourcing, and collaborative networks enabled by digital infrastructures. Understanding these dynamics is indispensable for designing architectures and business models that capitalize on service modularity and cloud capabilities.
Key finding: Describes the SORCER platform, an advanced SOA environment that treats everything as a service, including local and remote service providers, enabling end-users to compose complex service collaborations dynamically at... Read more
Key finding: Analyzes emergent business models arising from technologies such as cloud computing, Web 2.0, social networking, and open innovation that enable firms to reconfigure activities and tap external knowledge resources. This paper... Read more
Key finding: Proposes a methodology for adapting soft real-time interactive multimedia applications to execute efficiently on cloud-based service-oriented infrastructures. The approach emphasizes modeling and provisioning QoS requirements... Read more