Schahram Dustdar
Schahram Dustdar
Professor of Computer Science, Member of Academia Europaea, IEEE|EAI|AAIA Fellow, TU Wien, Austria
Verified email at - Homepage
Cited by
Cited by
Service-oriented computing: State of the art and research challenges
MP Papazoglou, P Traverso, S Dustdar, F Leymann
Computer 40 (11), 38-45, 2007
A survey on context-aware systems
M Baldauf, S Dustdar, F Rosenberg
International Journal of ad Hoc and ubiquitous Computing 2 (4), 263-277, 2007
Software engineering for self-adaptive systems: A second research roadmap
R De Lemos, H Giese, HA Müller, M Shaw, J Andersson, M Litoiu, ...
Software Engineering for Self-Adaptive Systems II: International Seminar …, 2013
Process mining manifesto
W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ...
Business Process Management Workshops: BPM 2011 International Workshops …, 2012
The promise of edge computing
W Shi, S Dustdar
Computer 49 (5), 78-81, 2016
Services mashups: The new generation of web applications
D Benslimane, S Dustdar, A Sheth
IEEE Internet Computing 12 (5), 13-15, 2008
A survey on web services composition
S Dustdar, W Schreiner
International journal of web and grid services 1 (1), 1-30, 2005
Service-oriented computing: a research roadmap
MP Papazoglou, P Traverso, S Dustdar, F Leymann
International Journal of Cooperative Information Systems 17 (02), 223-255, 2008
Blockchains for business process management-challenges and opportunities
J Mendling, I Weber, WVD Aalst, JV Brocke, C Cabanillas, F Daniel, ...
ACM Transactions on Management Information Systems (TMIS) 9 (1), 1-16, 2018
Edge intelligence: The confluence of edge computing and artificial intelligence
S Deng, H Zhao, W Fang, J Yin, S Dustdar, AY Zomaya
IEEE Internet of Things Journal 7 (8), 7457-7469, 2020
Quality control in crowdsourcing systems: Issues and directions
M Allahbakhsh, B Benatallah, A Ignjatovic, HR Motahari-Nezhad, ...
IEEE Internet Computing 17 (2), 76-81, 2013
Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
S Liu, H Yu, C Liao, J Li, W Lin, AX Liu, S Dustdar
International conference on learning representations, 2021
When things matter: A survey on data-centric internet of things
Y Qin, QZ Sheng, NJG Falkner, S Dustdar, H Wang, AV Vasilakos
Journal of Network and Computer Applications 64, 137-153, 2016
Non-intrusive monitoring and service adaptation for WS-BPEL
O Moser, F Rosenberg, S Dustdar
Proceedings of the 17th international conference on World Wide Web, 815-824, 2008
Osmotic computing: A new paradigm for edge/cloud integration
M Villari, M Fazio, S Dustdar, O Rana, R Ranjan
IEEE Cloud Computing 3 (6), 76-83, 2016
AI for next generation computing: Emerging trends and future directions
SS Gill, M Xu, C Ottaviani, P Patros, R Bahsoon, A Shaghaghi, M Golec, ...
Internet of Things 19, 100514, 2022
Towards qos-aware fog service placement
O Skarlat, M Nardelli, S Schulte, S Dustdar
2017 IEEE 1st international conference on Fog and Edge Computing (ICFEC), 89-96, 2017
Low level metrics to high level SLAs-LoM2HiS framework: Bridging the gap between monitored metrics and SLA parameters in cloud environments
VC Emeakaroha, I Brandic, M Maurer, S Dustdar
2010 International Conference on High Performance Computing & Simulation, 48-54, 2010
Social-network-sourced big data analytics
W Tan, MB Blake, I Saleh, S Dustdar
IEEE Internet Computing 17 (5), 62-69, 2013
Web AR: A promising future for mobile augmented reality—State of the art, challenges, and insights
X Qiao, P Ren, S Dustdar, L Liu, H Ma, J Chen
Proceedings of the IEEE 107 (4), 651-666, 2019
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