We investigate the possibility of reducing the data size of the electromagnetic calorimeter(ECAL) of CMS. The Selective Readout is applied first to reduce the data size at a manageable level. Then various data compression methods are considered, and their performances are estimated using the data from the full simulation of the ECAL system. A reduction of the average event size by a factor of two or larger is obtained in most of the cases.
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