Abstract: The embodiments disclosed herein are related to a computing system for generating a mask-augmented inverted index. The mask-augmented inverted index is structured to allow phrase query searching while minimizing the amount of computing system processing and memory resources needed to generate the mask-augmented inverted index. In one embodiment, a first token is mapped to a first listing of documents that include the first token. A first mask is included that comprises a probabilistic representation of a set of integers corresponding to one or more locations of the first token in each of the individual documents of the first listing. A second mask is included that comprises a probabilistic representation of a set of integers that indicate a positional relationship between the first token and one or more other tokens in each of the individual documents of the first listing.

Abstract: Provided are methods and computer program products for monitoring the contents of network traffic in a network device and performing correlation analysis of collected performance metrics to help identify reasons for network performance issues. Methods for correlation analysis include selecting scope and network metric types to include in the correlation analysis to generate an educated candidate set for correlation analysis. The correlation analysis methods result in a hypothesis set that assist the operator in identifying transactions and infrastructure problems resulting in network performance degradation.

Abstract: Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Abstract: Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Abstract: Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Abstract: Provided are methods and computer program products for analyzing transactions across a network and to help identify network performance issues. Methods for analyzing traffic include identifying an outbound transaction and a related transaction type, and identifying candidate inbound transactions that have the same transaction type as the transaction type of the outbound transaction. One or more transaction data parameters may be selected that correspond to the outbound or inbound transactions. Candidate transactions may be determined to be related to the outbound transaction based on one or more transaction data parameters.

Abstract: Provided are methods and computer program products for analyzing transactions across a network and to help identify network performance issues. Methods for analyzing traffic include identifying an outbound transaction and a related transaction type, and identifying candidate inbound transactions that have the same transaction type as the transaction type of the outbound transaction. One or more transaction data parameters may be selected that correspond to the outbound or inbound transactions. Candidate transactions may be determined to be related to the outbound transaction based on one or more transaction data parameters.

Abstract: Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Abstract: Provided are methods and computer program products for monitoring the contents of network traffic in a network device and performing correlation analysis of collected performance metrics to help identify reasons for network performance issues. Methods for correlation analysis include selecting scope and network metric types to include in the correlation analysis to generate an educated candidate set for correlation analysis. The correlation analysis methods result in a hypothesis set that assist the operator in identifying transactions and infrastructure problems resulting in network performance degradation.