Abstract: A compute infrastructure interconnected with a network configured for allotting a benchmark message. The benchmark message comprises program code, or references to program code, to be executed on a reflecting entity. The reflecting entity is able to execute program code. The program code requests capabilities of the reflecting entity when being executed. The compute infrastructure is further configured for sending of the benchmark message to the reflecting entity. The compute infrastructure is further configured for receiving the benchmark message and for executing, in the reflecting entity, the program code. The compute infrastructure is further configured for providing a benchmark reply message. The benchmark reply message comprises execution time and optionally execution result of the execution of said program code. The compute infrastructure is further configured for returning the benchmark reply message from the reflecting entity.

Abstract: Resources (10, 20, 30) of a communications network (40), are used to provide services, some are superordinate services (A, B) which depend on contributory services (C, D, E, F). Key performance indicators R-KPI are received based on measurements from the resources, of contributory services contributing to a corresponding key performance indicator KPI of the corresponding superordinate service. A selection (120) is made of the received R-KPIs which correspond to the normal operation of the superordinate service and a characteristic division is generated (130) of relative contributions of the R-KPIs to the KPI of the corresponding superordinate service for the times that the service was operating normally. This can be used as a basis for identifying differences with other R-KPIs to determine anomalies in behavior of contributory services for root cause analysis or in managing the network. Convergence evaluation and validation can be used to improve accuracy of the characteristic division.

Abstract: A compute infrastructure interconnected with a network configured for allotting a benchmark message. The benchmark message comprises program code, or references to program code, to be executed on a reflecting entity. The reflecting entity is able to execute program code. The program code requests capabilities of the reflecting entity when being executed. The compute infrastructure is further configured for sending of the benchmark message to the reflecting entity. The compute infrastructure is further configured for receiving the benchmark message and for executing, in the reflecting entity, the program code. The compute infrastructure is further configured for providing a benchmark reply message. The benchmark reply message comprises execution time and optionally execution result of the execution of said program code. The compute infrastructure is further configured for returning the benchmark reply message from the reflecting entity.

Abstract: There is provided a method (100) for root cause analysis of service quality degradation in a communications network. The method comprises receiving (102) measurements from a plurality of nodes in the communication network, determining (104) identifiers for the received measurements, using (106) the identifiers for the received measurements to determine a network topology; and performing (108) root cause analysis based on the determined topology and the measurements linked with said topology.

Abstract: Causes of service quality degradation in a communication network are determined for automated root cause analysis by identifying occurrence of degradation in service quality within a user session; identifying an underperforming resource of the communication network during occurrence of said identified degradation in service quality; in response to determining that the underperforming resource has at least one dependant resource, identifying any underperforming dependant resources during occurrence of said identified degradation in service quality; and outputting a plurality of causes of the service quality degradation including the identity of each of the identified underperforming resources.

Abstract: Resources (10, 20, 30) of a communications network (40), are used to provide services, some are superordinate services (A, B) which depend on contributory services (C, D, E, F). Key performance indicators R-KPI are received based on measurements from the resources, of contributory services contributing to a corresponding key performance indicator KPI of the corresponding superordinate service. A selection (120) is made of the received R-KPIs which correspond to the normal operation of the superordinate service and a characteristic division is generated (130) of relative contributions of the R-KPIs to the KPI of the corresponding superordinate service for the times that the service was operating normally. This can be used as a basis for identifying differences with other R-KPIs to determine anomalies in behavior of contributory services for root cause analysis or in managing the network. Convergence evaluation and validation can be used to improve accuracy of the characteristic division.

Abstract: Causes of service quality degradation in a communication network are determined for automated root cause analysis by identifying occurrence of degradation in service quality within a user session; identifying an underperforming resource of the communication network during occurrence of said identified degradation in service quality; in response to determining that the underperforming resource has at least one dependant resource, identifying any underperforming dependant resources during occurrence of said identified degradation in service quality; and outputting a plurality of causes of the service quality degradation including the identity of each of the identified underperforming resources.

Abstract: There is provided a method (100) for root cause analysis of service quality degradation in a communications network. The method comprises receiving (102) measurements from a plurality of nodes in the communication network, determining (104) identifiers for the received measurements, using (106) the identifiers for the received measurements to determine a network topology; and performing (108) root cause analysis based on the determined topology and the measurements linked with said topology.