Abstract: A system comprises a plurality of personal devices identified by at least one remote storage network as belonging to a user. A personal device comprises a first folder for storing a known a priori digital file, a second folder for storing a data file, a processor, and a network interface. The processor performs an M-to-M waveform multiplexing transformation on M input files, M>1, and generates M output files. Each output file comprises a respective linear combination of the M input files. The M input files comprise the data file and the known a priori digital file. Each of the M output files appears to human perception as having substantially identical visual or audio features to the known a priori digital file. The network interface sends at least M?1 of the M output files to at least one destination in the at least one remote storage network for storage.

Abstract: Remote video data files with digital multimedia envelops may be used for many new cloud computing applications. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported via cloud. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets.

Abstract: Data files with digital envelops may be used for many new applications for cloud computing which enables a user access all his or her applications and documents from anywhere in the world, freeing the user from the confines of the desktop. The accessibility anywhere in the world and anytime in a day among multiple user devices feature additional privacy and survivability on data storage and transport on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. In addition, multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site.

Abstract: Data files with digital audio envelops may be used for many new applications for cloud computing. The new applications include games and entertainments featuring additional privacy and survivability on data storage and transport on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets.

Abstract: Data photo files with digital envelops may be used for many new applications for cloud computing. The new applications include games and entertainments featuring additional privacy and survivability on data storage and transport on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets.