Abstract: Examples described herein provide a computer-implemented method that includes receiving a list of objects with anomaly detection results associated therewith. The method further includes generating a resource graph, wherein the resource graph comprises at least two nodes, each of the at least two nodes being associated with one of the objects. The method further includes determining a relationship between the at least two nodes. The method further includes assigning an anomaly score to at least one of the objects. The method further includes calculating for at least one of the nodes, an overall anomaly score for the at least one of the nodes based on the anomaly score for the at least one of the objects and based on the anomaly score for another node related to the at least one of the nodes.

Abstract: Examples described herein provide a computer-implemented method that includes defining a key performance indicator associated with a non-instrumented object of a processing system. The method further includes determining a current anomaly level of the key performance indicator for an instrumented object having a relationship with the non-instrumented object. The method further includes assigning an anomaly level to the non-instrumented object based on the current anomaly level.

Abstract: Examples described herein provide a computer-implemented method that includes detecting an anomaly associated with an object of a computer system and determining an importance classification of the object. An object relationship of the object is determined with respect to one or more other objects of the computer system. An impact score of the anomaly is determined based on the importance classification and the object relationship. An anomaly report is output with the impact score.

Abstract: Implantable therapeutic devices and methods for endovascular placement of devices at a target site, such an opening at a neck of an aneurysm, are disclosed. Selected embodiments of the present technology have closures that at least partially occlude the neck of an aneurysm to stabilize embolic or coagulative treatment of the aneurysm.

Abstract: A method, system, and computer program product are provided for performance anomaly detection. Velocity data is periodically received from a workload manager for one or more address spaces. An expected velocity value is created for each of the one or more address spaces. A factor of the expected velocity value is compared to a current velocity value from the velocity data. Based on the current velocity value being lower than the factor, a remedial action is generated indicating an anomaly.

Abstract: The present technology is directed generally to devices, systems, and methods for enclosing anatomical openings. In one example, an aneurysm device is endovascularly deliverable to a site proximate to an arterial aneurysm. The aneurysm device can include a closure structure having a distal-facing aspect configured to at least partially occlude the aneurysm and a proximal-facing aspect configured to arch over lumina of an artery. The closure structure can include a plurality of struts forming support arms and anchoring arms. The device further includes a supplemental stabilizer connected to the closure structure and configured to reside in the artery and press outward against a luminal wall thereof. A barrier can span at least a portion of the distal-facing aspect of the closure structure and be configured to further occlude a neck of the aneurysm. The closure structure can be configured to restrict and/or divert flow to or from the aneurysm.

Abstract: Examples described herein provide a computer-implemented method that includes receiving a list of objects with anomaly detection results associated therewith. The method further includes generating a resource graph, wherein the resource graph comprises at least two nodes, each of the at least two nodes being associated with one of the objects. The method further includes determining a relationship between the at least two nodes. The method further includes assigning an anomaly score to at least one of the objects. The method further includes calculating for at least one of the nodes, an overall anomaly score for the at least one of the nodes based on the anomaly score for the at least one of the objects and based on the anomaly score for another node related to the at least one of the nodes.

Abstract: According to an aspect, a computer-implemented method includes configuring a disaster recovery computer system as a test environment of a mainframe computer system as a mirror image of a production environment, where the disaster recovery computer system is a backup of a primary production computer system. Test cases are executed in the test environment of the disaster recovery computer system. A stress and load impacts can be monitored on a plurality of computer system resources of the disaster recovery computer system based on execution of the test cases. The test environment can be disabled, and the disaster recovery computer system can be reconfigured as a production system based on a failure of the primary production computer system.

Abstract: Examples described herein provide a computer-implemented method that includes defining a key performance indicator associated with a non-instrumented object of a processing system. The method further includes determining a current anomaly level of the key performance indicator for an instrumented object having a relationship with the non-instrumented object. The method further includes assigning an anomaly level to the non-instrumented object based on the current anomaly level.

Abstract: Examples described herein provide a computer-implemented method that includes detecting an anomaly associated with an object of a computer system and determining an importance classification of the object. An object relationship of the object is determined with respect to one or more other objects of the computer system. An impact score of the anomaly is determined based on the importance classification and the object relationship. An anomaly report is output with the impact score.

Abstract: According to an aspect, a computer-implemented method includes configuring a disaster recovery computer system as a test environment of a mainframe computer system as a mirror image of a production environment, where the disaster recovery computer system is a backup of a primary production computer system. Test cases are executed in the test environment of the disaster recovery computer system. A stress and load impacts can be monitored on a plurality of computer system resources of the disaster recovery computer system based on execution of the test cases. The test environment can be disabled, and the disaster recovery computer system can be reconfigured as a production system based on a failure of the primary production computer system.

Abstract: A method, system, and computer program product are provided for performance anomaly detection. Velocity data is periodically received from a workload manager for one or more address spaces. An expected velocity value is created for each of the one or more address spaces. A factor of the expected velocity value is compared to a current velocity value from the velocity data. Based on the current velocity value being lower than the factor, a remedial action is generated indicating an anomaly.

Abstract: Implantable devices for placement at a cavity or opening such as an aneurysm are disclosed. The implantable devices, in a deployed condition, have a generally inverted U-shaped profile with a curved or angled framework support structure sized and configured for placement in proximity to tissue surrounding the opening and anchoring legs extending proximally from the framework structure sized and configured to contact the wall of a neighboring lumen at opposed locations. Occlusive and semi-occlusive membranes may be associated with the framework support structure and deployed over the opening to provide exclusion of the opening and flow diversion. Proximal anchoring segments providing additional lumen wall surface area contact for the implantable device following deployment may be incorporated.

Abstract: Implantable therapeutic devices and methods for endovascular placement of devices at a target site, such an opening at a neck of an aneurysm, are disclosed. Selected embodiments of the present technology have closures that at least partially occlude the neck of an aneurysm to stabilize embolic or coagulative treatment of the aneurysm.

Abstract: The present technology is directed generally to devices, systems, and methods for enclosing anatomical openings. In several embodiments, an aneurysm device is endovascularly deliverable to a site proximate to an arterial aneurysm. The aneurysm device includes a closure structure having a distal-facing aspect configured to at least partially occlude the aneurysm and a proximal-facing aspect configured to arch over lumina of an artery. The device further includes a supplemental stabilizer connected to the closure structure and configured to reside in the artery and press outward against a luminal wall thereof. In some embodiments, the device can also include a barrier spanning at least a portion of the distal-facing aspect of the closure structure and configured to further occlude a neck of the aneurysm. In further embodiments, the closure structure can be configured to restrict and/or divert flow to or from the aneurysm.

Abstract: Implantable therapeutic devices and methods for endovascular placement of devices at a target site, such an opening at a neck of an aneurysm, are disclosed. Selected embodiments of the present technology have closures that at least partially occlude the neck of an aneurysm to stabilize embolic or coagulative treatment of the aneurysm. In one embodiment, for example, an aneurysm closure device comprises a closure structure and a supplemental stabilizer. The closure structure can have a curved portion configured to extend along a first vessel, such as a side branch of a bifurcated vessel that extends along a lateral axis. The supplemental stabilizer extends from the closure structure along a longitudinal axis transverse to the lateral axis of the first vessel. The supplemental stabilizer is configured to exert an outward force against a second vessel, such as a parent vessel, that extends transversely to the first vessel.

Abstract: Implantable devices for placement at a cavity or opening such as an aneurysm are disclosed. The implantable devices, in a deployed condition, have a generally inverted U-shaped profile with a curved or angled framework support structure sized and configured for placement in proximity to tissue surrounding the opening and anchoring legs extending proximally from the framework structure sized and configured to contact the wall of a neighboring lumen at opposed locations. Occlusive and semi-occlusive membranes may be associated with the framework support structure and deployed over the opening to provide exclusion of the opening and flow diversion. Proximal anchoring segments providing additional lumen wall surface area contact for the implantable device following deployment may be incorporated.

Abstract: Present disclosure relates to methods, processing systems and computer program products of analyzing contention data and following resource blockers to find root causes of computer problems. The method may include: detecting one or more resource waiters in a computer system, iteratively determining whether the resource blockers are a resource waiter, until a final resource blocker not waiting for another resource is found, determining, whether final resource blocker is caused by a resource blocker in a different computer system, iteratively executing, the method on the different computer system to find the final resource blocker not waiting for another resource is found, determining, whether the final resource blocker has more than one symptom that may or may not be a contention problem, selecting a symptom that has the highest priority as the root cause of the computer problems, and generating, using the processor, a report of root causes of the computer problems.

Abstract: Technical solutions are described for transferring standalone dump data of a system to a diagnosis system. An example method includes detecting a creation of a multi-volume standalone dump dataset. The method also includes, in response to detecting the creation, creating an entry in a list of standalone dump datasets, the entry corresponding to the multi-volume standalone dump dataset created. The method also includes detecting a change in data stored in the multi-volume standalone dump dataset; and in response to detecting the change, updating the corresponding entry in the list of standalone dump datasets, and generating a sequential standalone dump based on the multi-volume standalone dump dataset. The method also includes alerting the diagnosis system of the sequential standalone dump. The method also includes transferring the sequential standalone dump for access by the diagnosis system.

Abstract: Examples of techniques for invoking a restricted access service through a RESTful interface are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method may include: measuring, by the processing device, an idle time that represents an amount of time that an application is idle; measuring, by the processing device, an execution time that represents an amount of time that the application takes to execute a RESTful application program interface request; calculating, by the processing device, an average time for the application, wherein the average time is based on the idle time and the execution time over a selectable interval; and responsive to determining that the average time does not exceed a first threshold, initiating, by the processing device, a new instance of the application.