Astronomy has become one of the biggest consumers of computing resources in the past 10 years. Therefore, new computational solutions (both hardware and software) are emerging, dedicated to the various fields of science. For example, in radio astronomy, instruments are becoming extremely large, much like the square kilometer array and its precursor telescopes. Thus, it is expected that astronomical experiments will become larger in all dimensions: larger data collections, more accurate data analysis and processing, and more detailed results. The significant increase of these large-size experiments performed by instruments built around the world requires not only huge processing power, but also clever system design. We realize that execution framework technology is becoming a significant component for modern astronomical data processing.
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