Abstract: An intermediary device configured for request and response traffic of an application detects an unadvertised network parameter setting of an implementation node of the application. Based on the detected setting, the intermediary device computes a new value for a networking parameter of the intermediary device, and sets the parameter to the new value.

Abstract: The present invention provides a computer implemented method, system, and computer program product of optimizing bandwidth of cognitive radios (CRs). In an embodiment, the present invention includes monitoring use of channels of digital wireless spectrum by at least one primary user communications device (PU device), resulting in PU activity data describing the use, using a digital wireless spectrum channel with a lowest usage by the at least one PU device as indicated by the PU activity data, detecting when the at least one PU device begins to use at least one digital wireless spectrum channel, calculating TCP connection data describing a plurality of TCP connections in light of TCP connection parameter data, and performing a network congestion-avoidance algorithm using the calculated TCP connection data, resulting in digital wireless transmission characteristics for at least one of the plurality of TCP connections that are optimized for at least one CR device.

Abstract: The present invention provides a computer implemented method, system, and computer program product of optimizing bandwidth of cognitive radios (CRs). In an embodiment, the present invention includes monitoring use of channels of digital wireless spectrum by at least one primary user communications device (PU device), resulting in PU activity data describing the use, using a digital wireless spectrum channel with a lowest usage by the at least one PU device as indicated by the PU activity data, detecting when the at least one PU device begins to use at least one digital wireless spectrum channel, calculating TCP connection data describing a plurality of TCP connections in light of TCP connection parameter data, and performing a network congestion-avoidance algorithm using the calculated TCP connection data, resulting in digital wireless transmission characteristics for at least one of the plurality of TCP connections that are optimized for at least one CR device.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: Classifying a uniform resource locator (URL) includes: generating a first bloom filter to associate a uniform resource locator (URL) with a first URL category from a pre-determined set of URL categories, programming the first bloom filter with a set of identified URLs in a URL database, each identified URL respectively corresponding to at least one URL category from the pre-determined set of URL categories, extracting a target URL from a network packet stream, determining a set of hash strides for the target URL, and querying the first bloom filter with each hash stride of the set of hash strides to identify a corresponding URL category for the target URL from the set of URL categories.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.

Abstract: A target domain name is classified using hash strides including domain name components. The hash strides are fed into a set of bloom filters programmed to identify pre-determined domain name categories. A programmable mapping table is provided for selecting one of many probable classifications.