Abstract: Provided is a process including: receiving, with one or more processors, an alarm of a monitoring application that is monitoring a distributed application; determining, with one or more processors, a type of the identified computational entity among a plurality of different types of computational entities, wherein at least some of the different types take longer to provision than other types among the plurality of different types; classifying, with one or more processors, the alarm based on the type of the identified computational entity that emitted the alarm or a metric or event upon which the alarm is based; and based on the classification of the alarm, adjusting, with one or more processors, a configuration of the monitoring application or a logical-architecture or network-architecture topology of the distributed application.

Abstract: Provided is a process including: receiving a given alarm from a given instance of a given service executing on a given computing device, wherein: the given service is one of a plurality of different services that form at least part of a given distributed application, and the distributed application is executing on a plurality of different computing devices including the given computing device; accessing contextual data, the contextual data including metrics or events received from other instances of the given service or other services of the given distributed application; determining an alarm score for the given alarm based on the contextual data, the alarm score being indicative of a marginal effect of the given alarm on performance of the given distributed application; and storing the alarm score in memory in association with the given alarm.

Abstract: Provided is a process including: receiving, with one or more processors, an alarm of a monitoring application that is monitoring a distributed application; determining, with one or more processors, a type of the identified computational entity among a plurality of different types of computational entities, wherein at least some of the different types take longer to provision than other types among the plurality of different types; classifying, with one or more processors, the alarm based on the type of the identified computational entity that emitted the alarm or a metric or event upon which the alarm is based; and based on the classification of the alarm, adjusting, with one or more processors, a configuration of the monitoring application or a logical-architecture or network-architecture topology of the distributed application.

Abstract: Provided is a process including: receiving a given alarm from a given instance of a given service executing on a given computing device, wherein: the given service is one of a plurality of different services that form at least part of a given distributed application, and the distributed application is executing on a plurality of different computing devices including the given computing device; accessing contextual data, the contextual data including metrics or events received from other instances of the given service or other services of the given distributed application; determining an alarm score for the given alarm based on the contextual data, the alarm score being indicative of a marginal effect of the given alarm on performance of the given distributed application; and storing the alarm score in memory in association with the given alarm.

Abstract: Systems and methods are provided for computing the demand placed on a packet-switched network by streaming media carried by such packet-switched network. More particularly, systems and methods are provided that use the signaling messages associated with streaming media communications over a packet-switched network, such as H.225.0 signaling messages associated with Voice over IP (VoIP) telephony communications, to compute the demand placed on the packet-switched network by the streaming media communications. In certain embodiments, the computed demands are used to construct a traffic matrix for the packet-switched network, which may be used by a streaming communication service provider to monitor its quality of service and/or perform capacity planning, as examples.