T
Torsten Eymann
Researcher at University of Bayreuth
Publications - 204
Citations - 2014
Torsten Eymann is an academic researcher from University of Bayreuth. The author has contributed to research in topics: Software agent & Resource allocation. The author has an hindex of 20, co-authored 199 publications receiving 1709 citations. Previous affiliations of Torsten Eymann include University of Freiburg.
Papers
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Journal ArticleDOI
Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community
Christine Legner,Torsten Eymann,Thomas Hess,Christian Matt,Tilo Böhmann,Paul Drews,Alexander Mädche,Nils Urbach,Frederik Ahlemann +8 more
TL;DR: The convergence of the so-called SMAC technologies – social, mobile, analytics, and cloud computing – has led to an unprecedented wave of digitalization that is currently fueling innovation in business and society.
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A Prototype for an Agent-Based Secure Electronic Marketplace Including Reputation-Tracking Mechanisms
TL;DR: A reputation mechanism that records previous cooperation behavior of participants in agent-based markets and conveys this information to other software agents, thereby influencing the future behavior of Participants and helping to exclude fraudulent software agents from market participation.
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Catallaxy-based Grid markets
Torsten Eymann,Michael Reinicke,Werner Streitberger,Omer Rana,Liviu Joita,Dirk Neumann,Björn Schnizler,Daniel Veit,Oscar Ardaiz,Pablo Chacin,Isaac Chao,Felix Freitag,Leandro Navarro,Michele Catalano,Mauro Gallegati,Gianfranco Giulioni,Ruben Carvajal Schiaffino,Floriano Zini +17 more
TL;DR: A two-layer architecture for service discovery in Application Layer Networks (ALN) consisting of a service market in which complex services are translated to a set of basic services, which are distinguished by price and availability is proposed.
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Never Trust, Always Verify : A Multivocal Literature Review on Current Knowledge and Research Gaps of Zero-trust
TL;DR: A research framework for zero-trust is developed to structure the identified literature and to highlight future research avenues, and economic analyses and user-related studies have been neglected by both academia and practice.
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A Framework for Trust and Reputation in Grid Environments
TL;DR: This paper takes up economic issues by proposing a reputation-based conceptual framework for enabling future open Grid markets, to recommend the most promising Grid architecture and a corresponding reputation approach in a particular case.