Abstract: Embodiments compress and encrypt data in a single pass to reduce inefficiencies that occur from compression and encrypting data separately. Typically, compression and encryption are implemented in separate functional units. This has a few disadvantages: 1) encryption cannot make use of compression state to further secure the message, 2) processed data is read and written twice, 3) additional space, time, and resources are consumed, and 4) it is more prone to potential cipher-attacks since the encryption stage is independent from compression. Embodiments overcome these disadvantages by structuring these operations so that both compression and encryption is executed within the same processing loop. Thus: 1) encryption is stronger due to the dependence on the compression state, 2) I/O buffers are accessed only once reducing overhead, 3) system footprint is reduced, and 4) cipher analysis is more complex since the decryption process cannot be separated from the decompression process.

Abstract: Various embodiments are directed toward compressing and/or decompressing data communicated between one or more network devices (e.g., codec operations). In particular, embodiments are directed towards improving codec performance by seeding the computation workspace that may be used by various codec processors. The seeding data may be determined based on at least one characteristic of a particular codec and the characteristics of data that may be processed by the codec processor. Also, the codec processor may be employed to generate data for the codec workspace based on the determined seeding data. Workspace data may be generated by processing the seeding data with the same codec processor that is used for normal codec operations. The workspace generated from the seeding data may be stored for future use, such as, when a matched data stream arrives.

Abstract: A method for prioritizing processing of interactions at a contact center, the method including: identifying an interaction to be prioritized for processing; identifying a person associated with the interaction; identifying an influence level of the person associated with the interaction; and prioritizing the interaction for processing based on the influence level of the person associated with the interaction.

Abstract: Embodiments compress and encrypt data in a single pass to reduce inefficiencies that occur from compression and encrypting data separately. Typically, compression and encryption are implemented in separate functional units. This has a few disadvantages: 1) encryption cannot make use of compression state to further secure the message, 2) processed data is read and written twice, 3) additional space, time, and resources are consumed, and 4) it is more prone to potential cipher-attacks since the encryption stage is independent from compression. Embodiments overcome these disadvantages by structuring these operations so that both compression and encryption is executed within the same processing loop. Thus: 1) encryption is stronger due to the dependence on the compression state, 2) I/O buffers are accessed only once reducing overhead, 3) system footprint is reduced, and 4) cipher analysis is more complex since the decryption process cannot be separated from the decompression process.

Abstract: Methods for visualizing a graph by automatically drawing elements of the graph as labels are disclosed. In one embodiment, the method comprises receiving node information and edge information from an input device and/or communication interface, constructing a graph layout based at least in part on that information, wherein the edges are automatically drawn as labels, and displaying the graph on a display device according to the graph layout. In some embodiments, the nodes are automatically drawn as labels instead of, or in addition to, the label-edges.