S
Schahram Dustdar
Researcher at Vienna University of Technology
Publications - 919
Citations - 32707
Schahram Dustdar is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Cloud computing & Web service. The author has an hindex of 70, co-authored 804 publications receiving 28237 citations. Previous affiliations of Schahram Dustdar include London School of Economics and Political Science & Danske Bank.
Papers
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Journal ArticleDOI
A Serverless Real-Time Data Analytics Platform for Edge Computing
Stefan Nastic,Thomas Rausch,Ognjen Scekic,Schahram Dustdar,Marjan Gusev,Bojana Koteska,Magdalena Kostoska,Boro Jakimovski,Sasko Ristov,Radu Prodan +9 more
TL;DR: A novel approach implements cloud-supported, real-time data analytics in edge-computing applications based on real-life healthcare use case scenarios and discusses the main design requirements and challenges.
Journal ArticleDOI
AI for Next Generation Computing: Emerging Trends and Future Directions
Sukhpal Singh Gill,Minxian Xu,Carlo Ottaviani,Panos Patros,Rami Bahsoon,Arash Shaghaghi,Muhammed Golec,Vlado Stankovski,Huaming Wu,Ajit Varghese Abraham,Manmeet Singh,Harshit Mehta,Soumya Ghosh,Thar Baker,Ajith Kumar Parlikad,Hanan Lutfiyya,Salil S. Kanhere,Rizos Sakellariou,Schahram Dustdar,Omer Rana,Ivona Brandic,Steve Uhlig +21 more
TL;DR: In this article , the authors discuss challenges and opportunities for leveraging AI and ML in next generation computing for emerging computing paradigms, including cloud, fog, edge, serverless and quantum computing environments.
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Caramba—A Process-Aware Collaboration System Supporting Ad hoc and Collaborative Processes in Virtual Teams
TL;DR: This paper discusses the current shortcomings of approaches in the light of virtual teamwork based on models and underlying metaphors and presents a novel approach for virtual teamwork by tightly integrating all associations between processes, artifacts, and resources.
Proceedings ArticleDOI
A vector space search engine for Web services
TL;DR: This paper discusses a new method for discovery and analysis of Web services that uses a vector space search engine to index descriptions of already composed services and proposes some additional modifications to extract the maximum amount of semantics from existing service definition repositories.
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Principles for Engineering IoT Cloud Systems
TL;DR: The authors consider whether IoT cloud systems could provide a uniform layer to enable continuous execution of complex applications consisting of diverse types of software components, although these systems are built by integrating and blending IoT infrastructures with cloud-based datacenters.