TY - JOUR A1 - Prieto-González, Lisardo A1 - Tamm, Gerrit A1 - Stantchev, Vladimir T1 - Governance of cloud computing: semantic aspects and cloud service brokers JF - International Journal of Web and Grid Services N2 - This paper provides an overview of cloud governance aspects based on a representative survey of trends in the perception, assessment and adoption of cloud computing within the enterprise. The survey was conducted through a twofold research approach and combined a meta-study of existing and published empirical studies with an own empirical study within a representative group of European and international enterprises. We consider governance through the prism of adoption drivers and focus on the role of cloud brokers and cloud marketplaces more specifically, as well as the inclusion of semantic based strategies oriented to enhance the quality of service offered by cloud service brokers. KW - IT governance KW - Semantic cloud KW - Cloud computing Y1 - 2015 N1 - Online: https://www.researchgate.net/publication/285187034_Governance_of_cloud_computing_Semantic_aspects_and_cloud_service_brokers VL - 11 IS - 4 SP - 377 EP - 389 ER - TY - JOUR A1 - Prieto-González, Lisardo A1 - Jaedicke, Corvin A1 - Schubert, Johannes A1 - Stantchev, Vladimir T1 - Fog computing architectures for healthcare: Wireless performance and semantic opportunities JF - Journal of Information, Communication and Ethics in Society N2 - Purpose – The purpose of this study is to analyze how embedding of self-powered wireless sensors into cloud computing further enables such a system to become a sustainable part of work environment. Design/methodology/approach – This is exemplified by an application scenario in healthcare that was developed in the context of the OpSIT project in Germany. A clearly outlined three-layer architecture, in the sense of Internet of Things, is presented. It provides the basis for integrating a broad range of sensors into smart healthcare infrastructure. More specifically, by making use of short-range communication sensors (sensing layer), gateways which implement data transmission and low-level computation (fog layer) and cloud computing for processing the data (application layer). Findings – A technical in-depth analysis of the first two layers of the infrastructure is given to provereliability and to determine the communication quality and availability in real-world scenarios. Furthermore, two example use-cases that directly apply to a healthcare environment are examined,concluding with the feasibility of the presented approach. Practical implications – Finally, the next research steps, oriented towards the semantic tagging and classification of data received from sensors, and the usage of advanced artificial intelligence-based algorithms on this information to produce useful knowledge, are described together with the derived social benefits. Originality/value – The work presents an innovative, extensible and scalable system, proven to be useful in healthcare environments. KW - Healthcare KW - Cloud computing KW - Ontologies Y1 - 2016 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Full text due to copyright no available. VL - 14 IS - 4 SP - 334 EP - 349 PB - Emerald CY - Bingley ER - TY - JOUR A1 - Vera-Baquero, Alejandro A1 - Colomo-Palacios, Ricardo A1 - Stantchev, Vladimir A1 - Molloy, Owen T1 - Leveraging big-data for business process analytics JF - The Learning Organization N2 - This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence systems is not sufficient to meet today's business needs. They normally are business domain-specific and have not been sufficiently process-aware to support the needs of process improvement-type activities, especially on large and complex supply chains, where it entails integrating, monitoring and analysing a vast amount of dispersed event logs, with no structure, and produced on a variety of heterogeneous environments. This paper tackles this variability by devising different Big Data based approaches that aim to gain visibility into process performance. KW - Business process analytics KW - Business intelligence KW - Business performance management KW - Cloud computing Y1 - 2015 N1 - Online: https://www.researchgate.net/publication/280088163_Leveraging_big-data_for_business_process_analytics VL - 22 IS - 4 SP - 215 EP - 228 ER - TY - JOUR A1 - Stantchev, Vladimir A1 - Barnawi, Ahmed A1 - Ghulam, Sarfaraz A1 - Schubert, Johannes A1 - Tamm, Gerrit T1 - Smart Items, Fog and Cloud Computing as Enablers of Servitization in Healthcare JF - Sensors & Transducers N2 - In this article we argue that smart items and cloud computing can be powerful enablers of servitization as business trend. This is exemplified by an application scenario in healthcare that was developed in the context of the OpSIT-Project in Germany. We present a three-level architecture for a smart healthcare infrastructure. The approach is based on a service-oriented architecture and extends established architectural approaches developed previously at our group. More specifically, it integrates a role model, a layered cloud computing architecture, as well as a fog-computing-informed paradigm in order to provide a viable architecture for healthcare and elderly-care applications. The integration of established paradigms is beneficial with respect to providing adequate quality of service and governance (e.g., data privacy and compliance). It has been verified by expert interviews with healthcare specialists and IT professionals. To further demonstrate the validity of this architectural model, we provide an example use-case as a template for any kind of smart sensor-based healthcare infrastructure. KW - Sensors KW - Smart items KW - Cloud computing KW - Fog computing KW - Servitization Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0298-opus4-7184 VL - 185 IS - 2 SP - 121 EP - 128 ER -