Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: A computerized method determines erasure coding (EC) formats for data extents in storage systems. Traffic history data of a data extent to be stored in the storage system is obtained. Estimated future traffic data is generated using a traffic estimation model, wherein the traffic history data is provided to the model as input. A current storage system constraint is calculated using the obtained traffic history data, and a constraint adjustment value is determined using a proportional, integral, derivative (PID) controller based on the current storage system constraint. An EC format for the data extent is determined using the estimated future traffic data and the determined constraint adjustment value and the data extent is stored in the storage system using the determined EC format. Use of the model and the PID controller balances optimized storage use with efficient data traffic handling.

Abstract: Disclosed are a sphere-like super-macroporous mesoporous material, a polyolefin catalyst, and a preparation method therefor and an olefin polymerization process. The sphere-like super-macroporous mesoporous material has a two-dimensional hexagonal ordered pore channel structure. The mesoporous material has an average pore size of 10 nm to 15 nm, a specific surface area of 300 m2/g to 400 m2/g, and an average particle size of 1 ?m to 3 ?m, based on the total mass of the mesoporous material. The mass content of water in the mesoporous material is <1 ppm. The mass content of oxygen in the mesoporous material is <1 ppm. When a polyolefin catalyst prepared with the mesoporous material as a carrier is used for an olefin polymerization reaction, a polyolefin product with a narrow molecular weight distribution and a good melt index can be obtained.

Abstract: This disclosure describes a data insights system that implements a framework for generating multimodal insights from large datasets. For example, the data insights system utilizes multiple prompt generation processes paired with one or more generative artificial intelligence (AI) models to efficiently generate accurate visualizations and text insights from a large dataset in response to custom user queries. In particular, the data insights system utilizes different prompt generation processes to intelligently craft targeted generative AI prompts to maximize the efficiency and accuracy of the generative AI insight responses that target answers to custom user queries, rather than providing pre-built dashboards and charts. The data insights system not only provides customized visualizations in response to user queries but also generates and provides insights and summaries that are not intuitively visible. These visual and text insights are presented in a combined interactive interface.

Abstract: An anomaly monitor customization tool executes a selected subset of backend anomaly detectors to process a time-series dataset for a performance metric and receives, from the backend anomaly detectors, anomaly report data identifying a first set of events included in the time-series dataset and flagged as anomalies and characterizes the anomalies by assigning anomaly type classifiers. An alert rule is generated based on feedback pertaining to discrepancies between the first set of events flagged as anomalies and a second set of events in the time-series dataset that are of interest to the user, and the alert rule is used to generate modified configuration data that is, in turn, used to provision a customized anomaly monitor.

Abstract: A method, computer program product, and computing system for processing an incident request using a triage engine associated with a cloud computing system. A candidate triage group generative artificial intelligence (AI) model is identified by processing the incident request. An assignment recommendation is generated from the candidate triage group generative AI model by processing the incident request using the candidate triage group generative AI model using training data associated with the respective candidate triage group. A target triage group is selected for triaging the incident request by processing the assignment recommendation from the candidate triage group generative AI model using the triage engine.

Abstract: The invention relates to the technical field of heterogeneous catalytic olefin polymerization, and discloses a polyolefin catalyst, its preparation and its us. A method for preparing the polyolefin catalyst comprises: (i) providing a thermally activated mesoporous material, with the thermal activation treatment being performed at a temperature of 300 to 900° C.

Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: According to implementations of the subject matter described herein, there is provided a solution of providing a health index of a service. In this solution, a plurality of incident information sets associated with a plurality of services are obtained. The plurality of services are provisioned in a computing environment. An incident information set indicates at least one incident reported during operation of a service. Respective health indices are determined for the plurality of services based on respective ones of the plurality of incident information sets and a health classification policy. The respective health indices indicate respective health statuses of the plurality of services and being determined from a same health index range. Through unified use of incident information, the determined health indices can indicate universal and consistent health statuses for different services.

Abstract: In accordance with an embodiment, a method applied to a first device connected to a second device includes: displaying a first interface comprising address information; receiving a first user operation; in response to the first user operation, identifying the address information to determine intent information, wherein the intent information indicates that a place represented by the address information is a destination for navigation; and sending the intent information to the second device, wherein the intent information is used by the second device to display a second interface, and the second interface is used to provide a user with a navigation service with the place represented by the address information as the destination.

Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: Disclosed are a spherelike supermacroporous mesoporous material, a polyolefin catalyst, and a preparation method therefor and an olefin polymerization process. The spherelike supermacroporous mesoporous material has a twodimensional hexagonal ordered pore channel structures. The mesoporous material has an average pore size of 10 nm to 15 nm, a specific surface area of 300 m2/g to 400 m2/g, and an average particle size of 1 µm to 3 µm, based on the total mass of the mesoporous material. The mass content of water in the mesoporous material is < 1 ppm. The mass content of oxygen in the mesoporous material is < 1 ppm. When a polyolefin catalyst prepared with the mesoporous material as a carrier is used for an olefin polymerization reaction, the a polyolefin product with a narrow molecular weight distribution and a good melt index can be obtained.

Abstract: According to implementations of the subject matter described herein, there is provided a solution of providing a health index of a service. In this solution, a plurality of incident information sets associated with a plurality of services are obtained. The plurality of services are provisioned in a computing environment. An incident information set indicates at least one incident reported during operation of a service. Respective health indices are determined for the plurality of services based on respective ones of the plurality of incident information sets and a health classification policy. The respective health indices indicate respective health statuses of the plurality of services and being determined from a same health index range. Through unified use of incident information, the determined health indices can indicate universal and consistent health statuses for different services.

Abstract: The invention relates to the technical field of heterogeneous catalytic olefin polymerization, and discloses a polyolefin catalyst, its preparation and its us. A method for preparing the polyolefin catalyst comprises: (i) providing a thermally activated mesoporous material, with the thermal activation treatment being performed at a temperature of 300 to 900° C.

Abstract: A process for preparing 2,3-di(non-linear-alkyl)-2-cyanosuccinate compounds, especially 2,3-diisopropyl-2-cyanosuccinate compounds, and processes for preparing 2,3-di(non-linear-alkyl)succinic acids and esters thereof by using the 2,3-di-non-linear propyl-2-cyanosuccinate compounds as intermediates are disclosed.

Abstract: A catalyst component for olefin polymerization comprising an ?-cyanosuccinate compound as an internal electron donor, a catalyst comprising the catalyst component, and use of the catalyst in olefin polymerization. When used in propylene polymerization, the catalyst can exhibit good catalytic activity and good hydrogen response, and the resulting polymer can have a good isotacticity and a good molecular weight distribution.

Abstract: A process for preparing 2,3-di(non-linear-alkyl)-2-cyanosuccinate compounds, especially 2,3-diisopropyl-2-cyanosuccinate compounds, and processes for preparing 2,3-di(non-linear-alkyl)succinic acids and esters thereof by using the 2,3-di-non-linear propyl-2-cyanosuccinate compounds as intermediates are disclosed.

Abstract: A catalyst component for olefin polymerization comprising an ?-cyanosuccinate compound as an internal electron donor, a catalyst comprising the catalyst component, and use of the catalyst in olefin polymerization. When used in propylene polymerization, the catalyst can exhibit good catalytic activity and good hydrogen response, and the resulting polymer can have a good isotacticity and a good molecular weight distribution.