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Scientific Workflows
Today's scientific experiments typically involve running and refining a series of intertwined computational analysis and visualization tasks on large amounts of data. The complexity of these so-called analysis pipelines resulted in the emergence of e-Science and scientific workflows. Scientific workflows are compositions of sequential and concurrent data processing tasks, whose order is determined by data interdependencies. A scientific workflow is usually specified in the form of a directed, acyclic graph (DAG), in which individual tasks are represented as nodes.
Cloud Computing
Cloud computing describes a recently established form of distributed computing, which provides rentable compute and storage resources on-demand and over the Internet. The "pay-per-use" cost model of commercial cloud providers charges users by the hour and is therefore especially interesting in environments where data analysis is infrequent yet computationally intensive.
Next Generation Sequencing
Genomic sequencing aims at revealing the ordered sequence of nucleic acids (DNA) in a given sample, such as a human chromosome. A new generation of sequencing machines is capable of sequencing millions of short DNA reads in parallel, leading to many interesting challenges in data management and processing.
Scientific Workflows
Today's scientific experiments typically involve running and refining a series of intertwined computational analysis and visualization tasks on large amounts of data. The complexity of these so-called analysis pipelines resulted in the emergence of e-Science and scientific workflows. Scientific workflows are compositions of sequential and concurrent data processing tasks, whose order is determined by data interdependencies. A scientific workflow is usually specified in the form of a directed, acyclic graph (DAG), in which individual tasks are represented as nodes.
Cloud Computing
Cloud computing describes a recently established form of distributed computing, which provides rentable compute and storage resources on-demand and over the Internet. The "pay-per-use" cost model of commercial cloud providers charges users by the hour and is therefore especially interesting in environments where data analysis is infrequent yet computationally intensive.
Next Generation Sequencing
Genomic sequencing aims at revealing the ordered sequence of nucleic acids (DNA) in a given sample, such as a human chromosome. A new generation of sequencing machines is capable of sequencing millions of short DNA reads in parallel, leading to many interesting challenges in data management and processing.
研究兴趣
论文共 15 篇作者统计合作学者相似作者
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Schiefer Christopher,Bux Marc,Brandt Joergen,Messerschmidt Clemens,Reinert Knut,Beule Dieter,Leser Ulf
arxiv(2020)
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Future Generation Computer Systemsno. C (2015): 85-99
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