Abstract: Data stream quality management for analytic environments includes deploying, into a runtime environment upstream from an analytic module, an ingress quality specification (IQS) module. The IQS module receives a data stream and analyzes a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module. The subset of data is annotated to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module. The data stream is output with the annotated subset of data to the analytic module, and the analytic module analyzes the data stream to assess an operating characteristic of an upstream device.

Abstract: Data stream quality management for analytic environments includes an ingress quality specification (IQS) module with a data stream analytic module. The analytic module has a data quality expectation for data of the data stream and receives the data stream from the IQS module. A selector module receives the data stream from an object and selects a subset of the received data stream. A predicate module applies a predicate to the subset to determine if the subset meets the quality expectation of the analytic module. The predicate module modifies the subset of data by annotating the subset to indicate a quality status based on whether the subset meets the quality expectation. The IQS module outputs the data stream with the annotated subset of data to the analytic module. The analytic module outputs an analysis of the object based on whether the annotated subset of data met the quality expectation.

Abstract: A method of filtering authenticated synthetic transactions comprises receiving over a network, at a server providing a first networked application, a plurality of requests for the first networked application, wherein the plurality of requests includes a first synthetic transaction. The method further comprises analyzing a respective header of each of the plurality of requests; identifying a synthetic token in the respective header of the first synthetic transaction in response to analyzing the respective header of each of the plurality of requests; determining that the identified synthetic token corresponds to the first networked application; and bypassing usage monitoring for the first synthetic transaction in response to determining that the identified synthetic token corresponds to the first networked application.

Abstract: Techniques are provided for service placement on hosts for a consumer based on geographic location The techniques include: determining a geographical location of a consumer; and inputting a topology model of an environment including multiple candidate hosts to support a service required by the consumer, the topology model including: a geographic location of each of resource in the environment; and connectivity details between the resources and between the resources and the consumer. The techniques also include: calculating the distance from a candidate host to the consumer; determining if a geographic requirements is met by a candidate host; and ordering candidate hosts that meet geographic requirement.

Abstract: A method of filtering authenticated synthetic transactions comprises receiving over a network, at a server providing a first networked application, a plurality of requests for the first networked application, wherein the plurality of requests includes a first synthetic transaction. The method further comprises analyzing a respective header of each of the plurality of requests; identifying a synthetic token in the respective header of the first synthetic transaction in response to analyzing the respective header of each of the plurality of requests; determining that the identified synthetic token corresponds to the first networked application; and bypassing usage monitoring for the first synthetic transaction in response to determining that the identified synthetic token corresponds to the first networked application.

Abstract: Techniques are provided for service placement on hosts for a consumer based on geographic location The techniques include: determining a geographical location of a consumer; and inputting a topology model of an environment including multiple candidate hosts to support a service required by the consumer, the topology model including: a geographic location of each of resource in the environment; and connectivity details between the resources and between the resources and the consumer. The techniques also include: calculating the distance from a candidate host to the consumer; determining if a geographic requirements is met by a candidate host; and ordering candidate hosts that meet geographic requirement.

Abstract: Techniques are provided for service placement on hosts for a consumer based on geographic location The techniques include: determining a geographical location of a consumer; and inputting a topology model of an environment including multiple candidate hosts to support a service required by the consumer, the topology model including: a geographic location of each of resource in the environment; and connectivity details between the resources and between the resources and the consumer. The techniques also include: specifying bounding requirements for a host and/or bounding requirements for a path between the consumer to a host; calculating the distance from a candidate host to the consumer; determining if bounding requirements are met by a candidate host; and ordering candidate hosts that meet bounding requirements by distance.

Abstract: Data stream quality management for analytic environments includes deploying, into a runtime environment upstream from an analytic module, an ingress quality specification (IQS) module. The IQS module receives a data stream and analyzes a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module. The subset of data is annotated to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module. The data stream is output with the annotated subset of data to the analytic module, and the analytic module analyzes the data stream to assess an operating characteristic of an upstream device.

Abstract: Techniques are provided for service placement on hosts for a consumer based on geographic location The techniques include: determining a geographical location of a consumer; and inputting a topology model of an environment including multiple candidate hosts to support a service required by the consumer, the topology model including: a geographic location of each of resource in the environment; and connectivity details between the resources and between the resources and the consumer. The techniques also include: specifying bounding requirements for a host and/or bounding requirements for a path between the consumer to a host; calculating the distance from a candidate host to the consumer; determining if bounding requirements are met by a candidate host; and ordering candidate hosts that meet bounding requirements by distance.

Abstract: According to one aspect of the present disclosure, a method and technique for data quality management is disclosed. The method includes: deploying, into a runtime environment with a data stream analytic module, an ingress quality specification (IQS) module associated with the analytic module; receiving, by the IQS module, the data stream; analyzing, by the IQS module, a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module; annotating the subset of data to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module; and outputting the data stream to the analytic module.

Abstract: According to one aspect of the present disclosure, a system and technique for data quality management is disclosed. The system includes a processor and an ingress quality specification (IQS) module executable by the processor in a runtime environment with a data stream analytic module. The IQS module is configured to: receive the data stream; analyze a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module; annotate the subset of data to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module; and output the data stream to the analytic module.

Abstract: Data stream quality management for analytic environments includes an ingress quality specification (IQS) module with a data stream analytic module. The analytic module has a data quality expectation for data of the data stream and receives the data stream from the IQS module. A selector module receives the data stream from an object and selects a subset of the received data stream. A predicate module applies a predicate to the subset to determine if the subset meets the quality expectation of the analytic module. The predicate module modifies the subset of data by annotating the subset to indicate a quality status based on whether the subset meets the quality expectation. The IQS module outputs the data stream with the annotated subset of data to the analytic module. The analytic module outputs an analysis of the object based on whether the annotated subset of data met the quality expectation.

Abstract: Prior to a first configuration change of a first resource, such as a network resource of a network, a processor determines a first performance metric of a second resource, such as a second network resource of the network. The first configuration change does not result in complete failure or fault of the second resource. Subsequent to the first configuration change of the first resource, the processor determines a second performance metric of the second resource and compares the second performance metric to at least one of the first performance metric and a service objective to yield comparison results. Based on the comparison results, the processor can cause a second configuration change of the first resource. The second configuration change of the first resource can revert a configuration of the first resource to its state prior to the first configuration change.

Abstract: Prior to a first configuration change of a first resource, such as a network resource of a network, a processor determines a first performance metric of a second resource, such as a second network resource of the network. The first configuration change does not result in complete failure or fault of the second resource. Subsequent to the first configuration change of the first resource, the processor determines a second performance metric of the second resource and compares the second performance metric to at least one of the first performance metric and a service objective to yield comparison results. Based on the comparison results, the processor can cause a second configuration change of the first resource. The second configuration change of the first resource can revert a configuration of the first resource to its state prior to the first configuration change.

Abstract: Prior to a first configuration change of a first resource, such as a network resource of a network, a processor determines a first performance metric of a second resource, such as a second network resource of the network. The first configuration change does not result in complete failure or fault of the second resource. Subsequent to the first configuration change of the first resource, the processor determines a second performance metric of the second resource and compares the second performance metric to at least one of the first performance metric and a service objective to yield comparison results. Based on the comparison results, the processor can cause a second configuration change of the first resource. The second configuration change of the first resource can revert a configuration of the first resource to its state prior to the first configuration change.

Abstract: A consumer system receives capabilities metadata from a producer system that includes resource class metrics for a resource class included in the producer system. Next, the consumer system creates a rule that corresponds to one of the consumer system's managed entities. The rule includes one or more prescriptions that reference the resource class metrics and specify a periodicity, which informs the producer system as to a time interval for which to send prescription results that includes metric information pertaining to the resource class metrics. The consumer system sends the rule to the producer system and, in turn, the consumer system receives the prescription results from the producer system at the specified periodicity and applies the metric information to the managed entity.

Abstract: Prior to a first configuration change of a first resource, such as a network resource of a network, a processor determines a first performance metric of a second resource, such as a second network resource of the network. The first configuration change does not result in complete failure or fault of the second resource. Subsequent to the first configuration change of the first resource, the processor determines a second performance metric of the second resource and compares the second performance metric to at least one of the first performance metric and a service objective to yield comparison results. Based on the comparison results, the processor can cause a second configuration change of the first resource. The second configuration change of the first resource can revert a configuration of the first resource to its state prior to the first configuration change.

Abstract: Techniques are provided for service placement on hosts for a consumer based on geographic location The techniques include: determining a geographical location of a consumer; and inputting a topology model of an environment including multiple candidate hosts to support a service required by the consumer, the topology model including: a geographic location of each of resource in the environment; and connectivity details between the resources and between the resources and the consumer. The techniques also include: specifying bounding requirements for a host and/or bounding requirements for a path between the consumer to a host; calculating the distance from a candidate host to the consumer; determining if bounding requirements are met by a candidate host; and ordering candidate hosts that meet bounding requirements by distance.

Abstract: According to one aspect of the present disclosure, a system and technique for data quality management is disclosed. The system includes a processor and an ingress quality specification (IQS) module executable by the processor in a runtime environment with a data stream analytic module. The IQS module is configured to: receive the data stream; analyze a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module; annotate the subset of data to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module; and output the data stream to the analytic module.

Abstract: According to one aspect of the present disclosure, a method and technique for data quality management is disclosed. The method includes: deploying, into a runtime environment with a data stream analytic module, an ingress quality specification (IQS) module associated with the analytic module; receiving, by the IQS module, the data stream; analyzing, by the IQS module, a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module; annotating the subset of data to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module; and outputting the data stream to the analytic module.