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His research interests include cloud computing, data-intensive computing, and computer networks.
According to its Web site, it "conducts basic research in natural user interfaces, next-generation multimedia, data-intensive computing, search and online advertising, and computer science fundamentals".
However, not every organization with data-intensive computing needs can afford or has the interest to purchase and maintain such computer clusters.
MapReduce has emerged as a popular programming model in the field of data-intensive computing.
Hadoop has emerged as a successful framework for large-scale data-intensive computing applications.
The goal is to efficiently perform data-intensive computing in heterogeneous environments.
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The MapReduce paradigm provides a scalable model for large scale data intensive computing and associated fault-tolerance.
The energy efficiency of the data centers storing this data is one of the biggest issues in data intensive computing.
Our experience with Kira demonstrates that data intensive computing platforms like Apache Spark are a performant alternative for many-task scientific applications.
This includes offering and supporting traditional high-performance computing systems (HPC), as well as systems for high throughput and data intensive computing.
FAWN designed for low-power data intensive computing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com