Abstract: Generally described, systems and methods are provided for detecting locations of failures of network paths. The system collects information from a plurality of nodes and links in a network, aggregates the collected performance information across paths in the network, processes the aggregated performance information for detecting failures on the paths, and determines at least one location for network failures. In some aspects, processing the aggregated information may include determining the performance information on each of the nodes and links in the network. The performance information on each of the nodes and links may be determined by application and optimization of an objective function.

Abstract: Generally described, systems and methods are provided for detecting locations of failures of network paths. The system collects information from a plurality of nodes and links in a network, aggregates the collected performance information across paths in the network, processes the aggregated performance information for detecting failures on the paths, and determines at least one location for network failures. In some aspects, processing the aggregated information may include determining the performance information on each of the nodes and links in the network. The performance information on each of the nodes and links may be determined by application and optimization of an objective function.

Abstract: A method, system, and medium are provided for market intelligence tools for travel arrangements. A travel arrangement can be optimized by collecting and analyzing past event data for a desired travel selection. A data analysis engine aggregates, analyzes, and stores historical data of average travel ticket prices, as a function of the day of the year, for a travel selection. Another database analysis includes aggregating day-of-the-week data by the data analysis engine, wherein average travel ticket prices are given as a function of the day of the week, for both the departure day and the return day. Another database analysis includes aggregating advance purchase time data by the data analysis engine, wherein average travel ticket prices are given as a function of the number of days prior to a departure date. These database analyses are combined to form probabilities for the best and worst times to purchase travel tickets.