Abstract: A system for enhanced data pre-aggregation is provided. In one embodiment, a method is provided that includes receiving data formatted in a key/subkey format and distributing a data batch of the data to a plurality of processing threads. Each processing thread performs operations of: performing a first pass on the data batch to determine subkey rollup data; performing a second pass on the data batch to determine key rollup data; and storing the subkey rollup data and the key rollup data into data blocks. The method also includes outputting the data blocks to form a pre-aggregated data cube.

Abstract: Methods and systems for large scale data integration in distributed or massively parallel environments comprises a development phase wherein the results of a proposed jobflow can be viewed by the user during development, including the results of upstream units where the data sources and data targets can be any of a variety of different platforms, and further comprises the use of remote agents proximate to those data sources and data targets with direct communication between the associated agents under the direction of a topologically central controller to provide, among other things, improved security, reduced latency, reduced bandwidth requirements, and faster throughput.

Abstract: Methods and systems for large scale data integration in distributed or massively parallel environments comprises a development phase wherein the results of a proposed jobflow can be viewed by the user during development, including the results of upstream units where the data sources and data targets can be any of a variety of different platforms, and further comprises the use of remote agents proximate to those data sources and data targets with direct communication between the associated agents under the direction of a topologically central controller to provide, among other things, improved security, reduced latency, reduced bandwidth requirements, and faster throughput.

Abstract: An application analysis computer obtains reports from user terminals identifying operational states of instances of an application being processed by the user terminals. Sequences of the operational states that the instances of the application have transitioned through while being processed by the user terminals are identified. Common operational states that occur in a plurality of the sequences are identified. For each of the common operational states, a frequency of occurrence of the common operational state is determined. For each state transition between the common operational states in the sequences, a frequency of occurrence of the state transition is determined. State predictive metrics are generated based on the frequencies of occurrence of the common operational states and the frequencies of occurrence of the state transitions. The state predictive metrics are communicated, such as to an application server to control access to the application by user terminals.

Abstract: A method by a log stream analysis computer includes identifying records of log streams within a log repository containing a defined term. The log streams are generated by respective software sources executed by the host nodes. Similarity values are determined to indicate similarity between content of the records containing the defined term. A term node is generated to contain a data structure that identifies the defined term and lists identities of the records and corresponding ones of the similarity values. Related log stream analysis computers are disclosed.

Abstract: An application analysis computer obtains reports from user terminals containing application performance metrics and dimensions having values characterizing the applications and the user terminals. Statistics for each different type of the performance metrics across the reports are generated. One of the statistics, for one type of the performance metrics, that has changed at least a threshold amount between two time intervals is identified, and that performance metric is selected for analysis. For each combination of a different type of the characteristic dimensions and a different value among the values occurring for the type of the characteristic dimension, a statistic is generated for the selected type of the performance metrics from the reports. Information is communicated based on an active warning ID that was selected based on being associated with a combination of the type of the characteristic dimension and one of the statistics that changed at least a threshold amount.

Abstract: A method of performing operations on a processor of an application analysis computer is disclosed. The operations include obtaining reports from user terminals, where the reports identify sequences of operational states that instances of an application have transitioned through while being processed by the user terminals. For each unique one of the sequences, a data structure that is associated with the sequence is generated within a repository. For each of the sequences, a metric is generated based on content of the report which identifies the sequence, and the metric is stored in the repository within the data structure associated with the sequence. User defined criteria are received. The data structures in the repository are searched based on the criteria to identify a subset of the sequences. Information is communicated based on the metrics associated with the subset of the sequences.

Abstract: An application analysis computer obtains reports from user terminals identifying operational states of instances of an application being processed by the user terminals. Sequences of the operational states that the instances of the application have transitioned through while being processed by the user terminals are identified. Common operational states that occur in a plurality of the sequences are identified. For each of the common operational states, a frequency of occurrence of the common operational state is determined. For each state transition between the common operational states in the sequences, a frequency of occurrence of the state transition is determined. State predictive metrics are generated based on the frequencies of occurrence of the common operational states and the frequencies of occurrence of the state transitions. The state predictive metrics are communicated, such as to an application server to control access to the application by user terminals.

Abstract: An application analysis computer obtains reports from user terminals containing application performance metrics and dimensions having values characterizing the applications and the user terminals. Statistics for each different type of the performance metrics across the reports are generated. One of the statistics, for one type of the performance metrics, that has changed at least a threshold amount between two time intervals is identified, and that performance metric is selected for analysis. For each combination of a different type of the characteristic dimensions and a different value among the values occurring for the type of the characteristic dimension, a statistic is generated for the selected type of the performance metrics from the reports. Information is communicated based on an active warning ID that was selected based on being associated with a combination of the type of the characteristic dimension and one of the statistics that changed at least a threshold amount.

Abstract: A method by a computer includes generating polylines based on a sequence of values contained in performance trace data from a software source on a host machine node. Segments of the polylines are generated. Separate ones of the segments are categorized based on patterns of the polylines of the separate ones of the segments. For the separate ones of the segments, compressed data is generated that approximates values contained in the performance trace data corresponding to the polylines of the segment while regulating a level of fidelity of the approximations based on the categorization of the segment. The compressed data is stored in a log repository.

Abstract: A method by a computer includes generating polylines based on a sequence of values contained in performance trace data from a software source on a host machine node. Segments of the polylines are generated. Separate ones of the segments are categorized based on patterns of the polylines of the separate ones of the segments. For the separate ones of the segments, compressed data is generated that approximates values contained in the performance trace data corresponding to the polylines of the segment while regulating a level of fidelity of the approximations based on the categorization of the segment. The compressed data is stored in a log repository.

Abstract: A method by a log stream analysis computer includes identifying records of log streams within a log repository containing a defined term. The log streams are generated by respective software sources executed by the host nodes. Similarity values are determined to indicate similarity between content of the records containing the defined term. A term node is generated to contain a data structure that identifies the defined term and lists identities of the records and corresponding ones of the similarity values. Related log stream analysis computers are disclosed.

Abstract: A set-top box may present video content on a television and receive a user request to present an interactive home controls application on the television. Based on the user request, the set-top box may retrieve information associated with one of multiple home devices, and may generate, based on the home device information, an interactive home controls frame that includes functional tiles for managing the home devices. At least one of the functional tiles may include information associated with the one of the multiple home devices and options to control the one of the multiple devices. The set-top box may simultaneously present to the user the interactive home controls frame, including at least one of the functional tiles, and the video content on the television.

Abstract: Techniques are disclosed to increase the efficiency of multi-party authentication communications protocols. One technique includes a four party authentication method utilizing a general authenticator to store and provide a credit card authentication password and other payment information to an issuing bank and/or other parties involved in the transaction. Other techniques include the use of skeleton messages to minimize the forwarding of information through a forwarding party, the elimination of redundant communications exchanges, the use of a merchant appliance hardware solution to minimize system integration difficulties, and/or the imposition of credit card constraints. The techniques may be used singly or in combination.

Abstract: Techniques are disclosed to increase the efficiency of multi-party authentication communications protocols. One technique includes a four party authentication method utilizing a general authenticator to store and provide a credit card authentication password and other payment information to an issuing bank and/or other parties involved in the transaction. Other techniques include the use of skeleton messages to minimize the forwarding of information through a forwarding party, the elimination of redundant communications exchanges, the use of a merchant appliance hardware solution to minimize system integration difficulties, and/or the imposition of credit card constraints. The techniques may be used singly or in combination.