W
Wolfgang Emmerich
Researcher at University College London
Publications - 206
Citations - 7668
Wolfgang Emmerich is an academic researcher from University College London. The author has contributed to research in topics: Middleware & Middleware (distributed applications). The author has an hindex of 42, co-authored 206 publications receiving 7591 citations. Previous affiliations of Wolfgang Emmerich include Uppsala University & Northampton Community College.
Papers
More filters
Collaborative tools in support of the eMinerals Virtual Organization
Martin T. Dove,M. Calleja,R. P. Bruin,J. Wakelin,M. Keegan,S. Ballard,G. J. Lewis,SM Hasan,Alexandrov,R. P. Tyer,Ilian T. Todorov,P. B. Wilson,Maria Alfredsson,Geoffrey D. Price,C Chapman,Wolfgang Emmerich,Stephen A. Wells,A. Marmier,Stephen C. Parker,Z Du +19 more
TL;DR: The experience of working towards establishing the eMinerals project team as a functioning virtual organisation is outlined, with particular emphasis placed on the project-wide use of the personal version of the Access Grid.
Proceedings ArticleDOI
Algorithms for efficient symbolic detection of faults in context-aware applications
TL;DR: This paper shows how a model of a context-aware application can be encoded by means of ordered binary decision diagrams and introduces symbolic algorithms for the verification of a number of properties.
Journal Article
Experience with lightweight distributed component technologies in Business Intelligence systems
TL;DR: In this article, a data analysis system that applies a combination of lightweight distributed component technologies available for Java is presented. And the resulting architecture is extensible, easy to deploy, highly configurable and has a very flexible data model.
Book ChapterDOI
Experience with lightweight distributed component technologies in business intelligence systems
TL;DR: This paper presents the experience when developing a data analysis system that applies a combination of lightweight distributed component technologies available for Java in an event-based architecture that anticipates constant changes to analysis algorithms in short time frames and provides the ability to maintain correlated analyses in a consistent state.
Journal ArticleDOI
Cloud computing and RESERVOIR project
S. Beco,A Maraschini,F. Pacini,O. Biran,O Breitgand,K. Meth,Benny Rochwerger,E. Salant,E. Silvera,Sivan Tal,Yaron Wolfsthal,M Yehuda,Juan Caceres,Javier García Hierro,Wolfgang Emmerich,Alex Galis,Lennart Edblom,Erik Elmroth,Daniel Henriksson,Francisco Guevara Hernández,Johan Tordsson,A. Hohl,Eliezer Levy,A. Sampaio,B. Scheuermann,M. Wusthoff,J. Latanicki,G. Lopez,J. Marin-Frisonroche,A. Dörr,F. Ferstl,Eduardo Huedo,Ignacio M. Llorente,R. S. Montero,Philippe Massonet,Syed Naqvi,G. Dallons,M Pezz,A Puliafito,Carmelo Ragusa,M. Scarpa,S. Muscella +41 more
TL;DR: The RESERVOIR project and the challenge of a reliable and effective delivery of services as utilities in a commercial scenario is described and the key concept of a.