Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII by Abdelkader Hameurlain Josef Küng Roland Wagner Reza Akbarinia & Esther Pacitti

Author:Abdelkader Hameurlain, Josef Küng, Roland Wagner, Reza Akbarinia & Esther Pacitti
Language: eng
Format: epub
Publisher: Springer Berlin Heidelberg, Berlin, Heidelberg

There are five activities, i.e. FileSplit, Buzz, BuzzHistory, HistogramCreator and Correlate, which correspond to multiple tasks. In our experiment, the tasks of the five activities are scheduled by the multisite scheduling algorithm. The other activities exploit a database management system to process data at the master site.

Montage Workflow. Montage is a data-intensive SWf for computing mosaics of input images [14]. The input data and the intermediate data are of considerable size and require significant storage resources. However, the execution time of each task is relatively small, which can be at most a few minutes. The structure of the Montage SWf is shown in Fig. 9. Activity 1, mProjectPP, reprojects single images to a specific scale. The mDiffFit activity performs a simple image difference between a single pair of overlapping images, which is generate by the mProjectPP activity. Then, the mConcatFit activity merges multiple parameter files into one file. Afterwards, mBgModel uses the image-to-image difference parameter table to interactively determine a set of corrections to apply to each image to achieve a “best” global fit. The mBackground activity removes a background from a single image. This activity takes the output data of the mProjectPP activity and that of the mBgModel activity. The mImgTbl activity prepares the information for putting the images together. The mAdd activity generates an output mosaic and the binning of the mosaic is changed by the mShrink activity. Finally, the mJPEG activity creates a JPEG image from the mosaic. In addition, Montage can correspond to different square degrees [14] (or degree for short), which represents the size of the mosaics image. Each degree represents a certain configuration of the input data and the parameters and the lower degree corresponds to fewer input data.

Fig. 9.Montage workflow.

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