![]() We will focus on our experience implementing a scalable image-processing pipeline for the SDSS database using Hadoop (). In this paper we describe how cloud computing, and in particular the map-reduce paradigm, can be used in astronomical data processing. In the commercial world, new techniques that utilize cloud computing have been developed to handle massive data streams. With a requirement that these images be analyzed in real time to identify moving sources such as potentially hazardous asteroids or transient objects such as supernovae, these data streams present many computational challenges. ![]() In the coming decade astronomical surveys of the sky will generate tens of terabytes of images and detect hundreds of millions of sources every night. A model using the PAdova & TRieste Stellar Evolution Code (PARSEC) has provided valuable insight about the evolutionary history of EH Cnc as a trinary system. We address whether these are due to magnetic activity cycles, the so-called “Applegate effect”, or related to a light-time effect (LiTE) resulting from the presence of a third gravitationally bound cool low mass white dwarf. Analysis of eclipse timing data confirms the presence of sinusoidal-like excursions in the eclipse timing residuals. ![]() Furthermore, new radial velocity data from EH Cnc presented in this study for the first time has produced absolute physical and geometric parameters for this A-subtype W UMa-type variable. This has provided a unique opportunity to investigate parameter uncertainty following Roche modeling of light curves optimized by differential corrections using the Wilson–Devinney code. ![]() Precise multi-color CCD-derived photometric data were obtained from EH Cnc at two sites during 2010, 20 wherein each epoch used a different instrument. ![]()
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