Abstract: Systems and methods for providing accelerated data storage and retrieval utilizing lossless data compression and decompression. A data storage accelerator includes one or a plurality of high speed data compression encoders that are configured to compress data. The compressed data is subsequently stored in a target memory or other storage device whose input data storage bandwidth is lower than the original input data stream bandwidth. Similarly, a data retrieval accelerator includes one or a plurality of high speed data decompression decoders that are configured to decompress data at a rate equivalent to or faster than the input data stream from the target memory or storage device. The decompressed data is then output at rate data that is greater than the output rate from the target memory or data storage device.

Abstract: The transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency. Broadcast data may include packets having fields. Encoders associated with particular fields may be selected to compress those particular fields.

Abstract: Systems and methods for providing fast and efficient data compression using a combination of content independent data compression and content dependent data compression. In one aspect, a method for compressing data comprises the steps of: analyzing a data block of an input data stream to identify a data type of the data block, the input data stream comprising a plurality of disparate data types; performing content dependent data compression on the data block, if the data type of the data block is identified; performing content independent data compression on the data block, if the data type of the data block is not identified.

Abstract: Data compression and decompression methods for compressing and decompressing data based on an actual or expected throughput (bandwidth) of a system. In one embodiment, a controller tracks and monitors the throughput (data storage and retrieval) of a data compression system and generates control signals to enable/disable different compression algorithms when, e.g., a bottleneck occurs so as to increase the throughput and eliminate the bottleneck.

Abstract: Data compression and decompression methods for compressing and decompressing data based on an actual or expected throughput (bandwidth) of a system. In one embodiment, a controller tracks and monitors the throughput (data storage and retrieval) of a data compression system and generates control signals to enable/disable different compression algorithms when, e.g., a bottleneck occurs so as to increase the throughput and eliminate the bottleneck.

Abstract: The transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency. Broadcast data may include packets having fields. Encoders associated with particular fields may be selected to compress those particular fields.

Abstract: Provided is a system and method for facilitating or creating a gateway to integrate with 3D virtual worlds (e.g., Second Life and Sun Wonderland) and external applications (e.g., data visualization gateways, process modeling systems, artificial intelligences, social networks, and other virtual worlds) for three-dimensional visualization of data in a virtual world. The visualization tool may include, for example, a three-dimensional graph using various colors, dimensions, shapes, and other properties as desired, to represent different data and data values. The avatars in the virtual world, as controlled by the game's players or users in the real world, can point to or otherwise interact with elements in the three-dimensional graph whereupon the base data or other related informational data would be displayed with respect to that given cell or element of the graph.

Abstract: Systems and methods for providing fast and efficient data compression using a combination of content independent data compression and content dependent data compression. In one aspect, a method for compressing data comprises the steps of: analyzing a data block of an input data stream to identify a data type of the data block, the input data stream comprising a plurality of disparate data types; performing content dependent data compression on the data block, if the data type of the data block is identified; performing content independent data compression on the data block, if the data type of the data block is not identified.

Abstract: The transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency. Broadcast data may include packets having fields. Encoders associated with particular fields may be selected to compress those particular fields.

Abstract: Data compression and decompression methods for compressing and decompressing data based on an actual or expected throughput (bandwidth) of a system. In one embodiment, a controller tracks and monitors the throughput (data storage and retrieval) of a data compression system and generates control signals to enable/disable different compression algorithms when, e.g., a bottleneck occurs so as to increase the throughput and eliminate the bottleneck.

Abstract: The transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency. Broadcast data may include packets having fields. Encoders associated with particular fields may be selected to compress those particular fields.

Abstract: Systems and methods for providing fast and efficient data compression using a combination of content independent data compression and content dependent data compression. In one aspect, a method for compressing data comprises the steps of: analyzing a data block of an input data stream to identify a data type of the data block, the input data stream comprising a plurality of disparate data types; performing content dependent data compression on the data block, if the data type of the data block is identified; performing content independent data compression on the data block, if the data type of the data block is not identified.

Abstract: The transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency. Broadcast data may include packets having fields. Encoders associated with particular fields may be selected to compress those particular fields.

Abstract: The present disclosure is directed to systems and methods for providing fast and efficient data compression using a combination of content dependent, content estimation, and content independent data compression. In one aspect of the disclosure a method for compressing data comprises the steps of: analyzing a data block of an input data stream to identify a data type of the data block, the input data stream comprising a plurality of disparate data types; performing content dependent data compression on the data block, if the data type of the data block is identified; performing content estimation data compression if the content is estimable; and performing content independent data compression on the data block, if the data type of the data block is not identified or estimable. In another aspect of the present invention LZDR compression is applied to simultaneously perform one method of compression while computing statistics useful in estimating the optimal form of compression to be applied.

Abstract: Systems, methods, and computer program products for implementing a healthcare finance model are disclosed. A method according to the present invention may be embodied in a computer program product. The method may include determining an expected price of a medical scenario for each of a set of providers. A predetermined ranking algorithm may be applied to the providers. Such ranking algorithm may consider at least an expected price of the medical scenario for each of the plurality of providers. The providers may be organized into two or more provider groups based on results of the ranking algorithm. Additionally, a flat insurance payment for service of the medical scenario may be established for each provider group based on their rankings. Providers within each single provider group may have the same insurance payment for the medical scenario.

Abstract: Data compression and decompression methods for compressing and decompressing data based on an actual or expected throughput (bandwidth) of a system. In one embodiment, a controller tracks and monitors the throughput (data storage and retrieval) of a data compression system and generates control signals to enable/disable different compression algorithms when, e.g., a bottleneck occurs so as to increase the throughput and eliminate the bottleneck.

Abstract: A new approach is proposed that first validates identity of a user/individual who is initiating a request for a web service for the first time. Once validated, the user is allowed to access the web service, to register securely with the provider of the web service, and to create a series of personalized questions to be used for future validation purposes. During the user's subsequent request for the web service, the user will be asked, in addition to his/her user name, one or more of the personalized questions he/she created on rotation basis in place of a PIN or password.

Abstract: Systems and methods for providing fast and efficient data compression using a combination of content independent data compression and content dependent data compression. In one aspect, a method for compressing data comprises the steps of: analyzing a data block of an input data stream to identify a data type of the data block, the input data stream comprising a plurality of disparate data types; performing content dependent data compression on the data block, if the data type of the data block is identified; performing content independent data compression on the data block, if the data type of the data block is not identified.

Abstract: Systems and methods for providing accelerated data storage and retrieval utilizing lossless data compression and decompression. A data storage accelerator includes one or a plurality of high speed data compression encoders that are configured to simultaneously or sequentially losslessly compress data at a rate equivalent to or faster than the transmission rate of an input data stream. The compressed data is subsequently stored in a target memory or other storage device whose input data storage bandwidth is lower than the original input data stream bandwidth. Similarly, a data retrieval accelerator includes one or a plurality of high speed data decompression decoders that are configured to simultaneously or sequentially losslessly decompress data at a rate equivalent to or faster than the input data stream from the target memory or storage device. The decompressed data is then output at rate data that is greater than the output rate from the target memory or data storage device.

Abstract: A network routing system is described herein. The network routing system comprises a traffic router and a plurality of proxy gateways. The traffic router is configured to receive at least one request for a network object from a requester. The request includes a network address of a target web host. One or more proxy servers from a plurality of proxy servers are assigned to each proxy gateway. In operation, if there is a proxy server having a current connection with the target web host, the traffic router selects the proxy server and forwards the request to a proxy gateway that the proxy server is assigned to. In operation, the proxy gateway receives the request for the network object, converts the request into a translated request based on a protocol type of the proxy server, and sends the translated request to the proxy server.