H
Hong-Linh Truong
Researcher at Aalto University
Publications - 234
Citations - 5035
Hong-Linh Truong is an academic researcher from Aalto University. The author has contributed to research in topics: Cloud computing & Web service. The author has an hindex of 34, co-authored 225 publications receiving 4614 citations. Previous affiliations of Hong-Linh Truong include University of Vienna & University of Innsbruck.
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Journal ArticleDOI
A survey on context‐aware web service systems
TL;DR: It is hard to find a truly context‐aware web service‐based system that is interoperable and secure, and operates on multi‐organizational environments.
Journal ArticleDOI
ASKALON: a tool set for cluster and Grid computing
Thomas Fahringer,Alexandru Jugravu,Sabri Pllana,Radu Prodan,Clovis Seragiotto,Hong-Linh Truong +5 more
TL;DR: The overall architecture of the ASKALON tool set is described and the basic functionality of the four constituent tools are outlined, enabling tool interoperability and demonstrating the usefulness and effectiveness of ASKalON by applying the tools to real‐world applications.
Proceedings ArticleDOI
ASKALON: A Grid Application Development and Computing Environment
Thomas Fahringer,Radu Prodan,Rubing Duan,Francesco Nerieri,Stefan Podlipnig,Jun Qin,Mumtaz Siddiqui,Hong-Linh Truong,Alex Villazón,Marek Wieczorek +9 more
TL;DR: The ASKALON environment is centered around a set of high-level services for transparent and effective Grid access, including a Scheduler for optimized mapping of workflows onto the Grid, an Enactment Engine for reliable application execution, and a Resource Manager covering both computers and application components.
Journal ArticleDOI
Manufacturing process data analysis pipelines: a requirements analysis and survey
TL;DR: The requirements for process data analysis pipelines are characterized and recommendations are offered for each phase of the pipeline, showing a stronger focus on the storage and analysis phases of pipelines than on the ingestion, communication, and visualization stages.
Journal ArticleDOI
Principles of Elastic Processes
TL;DR: In this article, the authors introduce elastic processes, which are based on explicitly modeling resources, cost, and quality, and show how they improve on the state-of-the-art.