Abstract: The present invention provides a process for treating a wort composition in a kettle, said method providing a significant energy saving compared to existing wort treatment processes. In particular, the process includes a hot-hold step for the wort, followed by gas sparging at elevated temperatures.

Abstract: A method for processing time series measurement data is provided. Data including a plurality of network performance metrics is received over a plurality of time periods. The received data is written to a plurality of measure data structures. The measure data structures are stored to a two dimensional array having a first dimension and a second dimension. The first dimension represents time and the second dimension represents a plurality of network entities. Elements of the two-dimensional array are compressed into BLOBs. Each one of the BLOBS is associated with a time period and a measure type associated with the data stored within a corresponding BLOB. The BLOBS are stored in a first table and second table. The first table is indexed by a combination of a network entity and a time period. The second table is indexed by a combination of a network performance metric and a network entity.

Abstract: A method for continuous data anomaly detection includes identifying a period of time covered by metrics data stored in a repository. The stored metrics data is categorized into a plurality of non-overlapping time segments. Statistical analysis of the stored metrics data is performed based on the identified period of time. A range of acceptable metric values is dynamically generated based on the performed statistical analysis.

Abstract: A method for continuous data anomaly detection includes identifying a period of time covered by metrics data stored in a repository. The stored metrics data is categorized into a plurality of non-overlapping time segments. Statistical analysis of the stored metrics data is performed based on the identified period of time. A range of acceptable metric values is dynamically generated based on the performed statistical analysis.

Abstract: A method for processing time series measurement data is provided. Data including a plurality of network performance metrics is received over a plurality of time periods. The received data is written to a plurality of measure data structures. The measure data structures are stored to a two dimensional array having a first dimension and a second dimension. The first dimension represents time and the second dimension represents a plurality of network entities. Elements of the two-dimensional array are compressed into BLOBs. Each one of the BLOBS is associated with a time period and a measure type associated with the data stored within a corresponding BLOB. The BLOBS are stored in a first table and second table. The first table is indexed by a combination of a network entity and a time period. The second table is indexed by a combination of a network performance metric and a network entity.

Abstract: A distributed network traffic flow monitoring system is provided. The system includes a plurality of network packet flow collector devices for receiving netflow packets associated with a traffic flow activity data at a network connection. The traffic flow activity data includes one or more transmissions between particular source and destination IP addresses. The system further includes a network packet flow coordinator device connected to the plurality of network packet flow collector devices and configured to aggregate probabilistic information related to the traffic flow activity data from the one or more of network packet flow collector devices and to estimate cardinality of the traffic flow activity data based on the aggregated probabilistic information.

Abstract: A storage system includes network monitoring device having NIC coupled to network and configured to capture raw data packets. The system further includes 4 data repositories. A first repository stores captured packets. A second repository stores captured packets' metadata. A third repository stores captured packets' and metadata's timestamp indexed data. A fourth repository stores captured packets' data flow. The storage system further includes a storage engine coupled to the repositories. The storage engine receives packet search criteria specifying at least a first time range. Data flow information associated with the search criteria is retrieved from the fourth repository. The retrieved data flow information is associated with a second, narrower, time range. Metadata information associated with the second time range is retrieved from the second repository using corresponding timestamp indexed data.

Abstract: A distributed network traffic flow monitoring system is provided. The system includes a plurality of network packet flow collector devices for receiving netflow packets associated with a traffic flow activity data at a network connection. The traffic flow activity data includes one or more transmissions between particular source and destination IP addresses. The system further includes a network packet flow coordinator device connected to the plurality of network packet flow collector devices and configured to aggregate probabilistic information related to the traffic flow activity data from the one or more of network packet flow collector devices and to estimate cardinality of the traffic flow activity data based on the aggregated probabilistic information.

Abstract: A storage system includes network monitoring device having NIC coupled to network and configured to capture raw data packets. The system further includes 4 data repositories. A first repository stores captured packets. A second repository stores captured packets' metadata. A third repository stores captured packets' and metadata's timestamp indexed data. A fourth repository stores captured packets' data flow. The storage system further includes a storage engine coupled to the repositories. The storage engine receives packet search criteria specifying at least a first time range. Data flow information associated with the search criteria is retrieved from the fourth repository. The retrieved data flow information is associated with a second, narrower, time range. Metadata information associated with the second time range is retrieved from the second repository using corresponding timestamp indexed data.

Abstract: A system and method are described for progressively efficiently filtering and gathering netflow data. Flow records are analyzed to find out which keys (addresses, conversations, protocols etc) meet defined filter parameters. The netflow data is processed and a data structure of fixed size is continually maintained in order to facilitate efficient retrieval of the gathered netflow data.

Abstract: A flow based detection system for detecting networks attacks on data networks. Flow records are collected in a novel data structure that facilitates efficient sorting. The sorted data structure can be subsequently analyzed in an efficient manner to find out if the network is under attack. An attack is identified if the numbers of unique corresponding addresses or conversations are too large.

Abstract: A system and method are described for progressively efficiently filtering and gathering netflow data. Flow records are analyzed to find out which keys (addresses, conversations, protocols etc) meet defined filter parameters. The netflow data is processed and a data structure of fixed size is continually maintained in order to facilitate efficient retrieval of the gathered netflow data.

Abstract: A flow based detection system for detecting networks attacks on data networks. Flow records are collected in a novel data structure that facilitates efficient sorting. The sorted data structure can be subsequently analyzed in an efficient manner to find out if the network is under attack. An attack is identified if the numbers of unique corresponding addresses or conversations are too large.

Abstract: A technique for identifying deviations in patterns of data traffic between host devices communicating over a network involves establishing a baseline traffic distribution by categorizing data traffic during a learning period. The baseline traffic distribution includes a list of categories and a metric value and a measure of variability of the metric value for each category in the list. An observed traffic distribution is generated by categorizing data traffic during an observation period. The observed traffic distribution includes a list of categories and a metric value associated with each category in the list. An alarm is generated in response to at least one of the metric values of the categories of the observed traffic distribution deviating significantly from the corresponding metric value in the baseline traffic distribution based on a pair-wise comparison of the observed metric values with respective thresholds established for corresponding categories of the baseline traffic distribution.

Abstract: A technique for identifying deviations in patterns of data traffic between host devices communicating over a network involves establishing a baseline traffic distribution by categorizing data traffic during a learning period. The baseline traffic distribution includes a list of categories and a metric value and a measure of variability of the metric value for each category in the list. An observed traffic distribution is generated by categorizing data traffic during an observation period. The observed traffic distribution includes a list of categories and a metric value associated with each category in the list. An alarm is generated in response to at least one of the metric values of the categories of the observed traffic distribution deviating significantly from the corresponding metric value in the baseline traffic distribution based on a pair-wise comparison of the observed metric values with respective thresholds established for corresponding categories of the baseline traffic distribution.

Abstract: A system and method for producing carbon nanotubes by chemical vapor deposition includes a catalyst support having first and second surfaces. The catalyst support is capable of hydrogen transport from the first to the second surface. A catalyst is provided on the first surface of the catalyst support. The catalyst is selected to catalyze the chemical vapor deposition formation of carbon nanotubes. A fuel source is provided for supplying fuel to the catalyst.

Abstract: A high sensitivity glow discharge ion source system for analyzing particles includes an aerodynamic lens having a plurality of constrictions for receiving an aerosol including at least one analyte particle in a carrier gas and focusing the analyte particles into a collimated particle beam. A separator separates the carrier gas from the analyte particle beam, wherein the analyte particle beam or vapors derived from the analyte particle beam are selectively transmitted out of from the separator. A glow discharge ionization source includes a discharge chamber having an entrance orifice for receiving the analyte particle beam or analyte vapors, and a target electrode and discharge electrode therein. An electric field applied between the target electrode and discharge electrode generates an analyte ion stream from the analyte vapors, which is directed out of the discharge chamber through an exit orifice, such as to a mass spectrometer.

Abstract: A method of orally administering jojoba for fat reduction, blood lipid reduction, and cancer prevention and treatment in humans is disclosed. The method incorporates a sufficient quantity of jojoba, defatted jojoba meal, jojoba extract, defatted jojoba meal extract, naturally derived or synthesized simmondsin, or any naturally derived or synthesized simmondsin derivative or analogue, including aglycon, or any mixture thereof into an individual's diet in the form of a food, dietary supplement, or drug to provide simmondsin component in an amount greater than 0.01% of one's total daily diet by weight, or 0.05 gram/day. The dosage amount and duration of the administration can vary to achieve and maintain one's desired body composition and blood lipid levels. The dosage and duration of administration are increased for cancer prevention and treatment.