Abstract: Methods, systems, and computer-readable storage media for receiving a record including a set of attributes, each attribute having an attribute value, the record representing automatic execution of an IT process within a managed system, retrieving a model representing historical executions of the IT process and including a set of distribution parameters associated with a first type of attribute and a set of probability distributions associated with a second type of attribute, determining, for a first attribute, a first score based on distribution parameters and a value, determining, for a second attribute, a second score based on a probability distribution and a value, the second attribute being of the second type of attribute, and selectively indicating that the IT process is anomalous based on an outlier score.

Abstract: A system for providing and/or collecting information relating to at least one object is provided. The system comprises a radio-frequency identification, RFID, tag that is provided proximate to the at least one object, the RFID tag being configured to enable detection of a position and/or a movement of the at least one object; a server device configured to receive position and/or movement data about the at least one object; and a mobile device configured to: identify the at least one object; send a request to the server device for object information about the identified at least one object; wherein: the server device is further configured to, in response to the request, provide to the mobile device targeted object information about the identified at least one object, the targeted object information being at least partially based on the position and/or movement data; and the mobile device is further configured to display the targeted object information.

Abstract: Provided is a database system and method in which storage is partitioned in an unbalanced format for faster access. In one example, the method may include one or more of receiving a request to store a data record, identifying a partition from among a plurality of partitions of a database based on a shard identifier in the request, automatically determining a unique range of data identifiers designated to the partition from the plurality of partitions, respectively, based on an unbalanced partitioning, determining whether the data identifier is available within the unique range of data identifiers of the identified partition, and storing the data record at the identified partition in response to determining the data identifier is available. The unbalanced partitioning according to various embodiments reduces the partitions that need to be checked during a data insert/access operation of the database.

Abstract: Embodiments offer a cloud system allowing workload management through the use of a zone-compartment architecture. A routing engine extracts an identifier from an incoming request to a cloud system. The routing engine then determines from a mapping in a service mesh, a target compartment corresponding to the identifier. Based upon the target compartment, the routing engine receives an IP address from a registry of the service mesh. Using the IP address, the routing engine routes the request to the target compartment for processing by an application. A database of the target compartment is replicated within another compartment within a different zone, thereby ensuring high availability. Based upon a recommendation provided by the zone, the target compartment may be split or merged to accommodate variations in workflow. The mapping and registry are updated according to changes in the compartments.

Abstract: A system and method of query processing in a multi-level storage system having a unified table architecture. A query is received by a common query execution engine connected with the unified table architecture, the query specifying a data record. The common query execution engine performs a look-up for the data record based on the query at the first level storage structure. If the data record is not present at the first level storage structure, the common query execution engine performs separate look-ups in each of the second level storage structure and the main store.

Abstract: A message system may use publish-subscribe techniques to process messages for several applications. In situations where an application requires an output, it may need to wait for a response message back from a service via the message system. However, in certain implementations, the message system may not be able to determine that a particular message involves request-response communication. The efficient response communication techniques described herein receive the response message having a routing key and a payload including a correlation identifier and then generate a second response having a routing key that includes the correlation identifier. This message may then be efficiently routed to an application based on the correlation identifier.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives from a client device an image and a user identifier associated with a user of the client device. Based on the user identifier, the program further retrieves a set of historical transactions associated with the user, the program also uses a first machine learning model to predict a string based on the image. The program further uses a second machine learning model to predict a set of digits based on the image. Based on the set of historical transaction data, the string, and the set of digits, the program also determines a data value for a field in a form.

Abstract: Methods and systems are disclosed for data retrieval, from databases to clients, in an environment requiring runtime authorization. In response to a request for T data records, a learning module provides a prediction R of a suitable number of data records to retrieve from a database. Following retrieval of R records or record identifiers, authorization is sought from an authorization service, resulting in A of the records being authorized. The A authorized records are returned to the requesting client, and, if more records are needed, T is decremented and the cycle is repeated. A performance notification is provided to the learning module for training, with respect to providing values of prediction R. The performance notification can be based on a measure of authorization service performance, the number A of authorized records, latency, communication or resource costs, a measure of resource congestion, or other parameters. Variants are disclosed.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program executable by a device. The program receives a request to process a file. The file includes a set of images of text. The program further converts the text in each image in the set of images into a set of machine-readable text. The program also uses a machine learning model to predict, based on the set of machine-readable text, whether the set of images of the file are images of pages that belong to a single document or images of pages that belong to different documents.

Abstract: Provided is a system and method for training and validating models in a machine learning pipeline for failure mode analytics. The machine learning pipeline may include an unsupervised training phase, a validation phase and a supervised training and scoring phase. In one example, the method may include receiving a request to create a machine learning model for failure mode detection associated with an asset, retrieving historical notification data of the asset, generating an unsupervised machine learning model via unsupervised learning on the historical notification data, wherein the unsupervised learning comprises identifying failure topics from text included in the historical notification data and mapping the identified failure topics to a plurality of predefined failure modes for the asset, and storing the generated unsupervised machine learning model via a storage device.

Abstract: In an example embodiment, a solution is provided to mine trace data, detangle it, and rewrite the trace data without redundancy. In an example embodiment, mining may take place before detangling, but such an ordering is not mandatory. Combining mining with detangling solves the technical problem of the production of difficult-to-read service traces, as it mines the “interesting” parts, corrects the timestamp order, and removes redundancy.

Abstract: Methods and systems are disclosed for providing third party connectivity to installed software at a customer site through a broker infrastructure. A uniform facility for powerful and secure third party access to customer software installations is provided. Multiple TCP-based session types including source code debug and database sessions are supported. A target backend and session type are selected by an authorized agent logged into the broker infrastructure. A communication session is established between environments of the agent's frontend tool and the backend. The agent can perform maintenance or troubleshooting on the backend using the full capabilities of the frontend tool. Data exchange between frontend and backend utilizes TCP connections within the communication session, and is mediated by a connectivity framework within the broker infrastructure. Customer control over access to target backends is supported.

Abstract: Provided are systems and methods for mapping customer feedback to one or more processes. In one example, the method may include receiving text content that includes feedback, mapping, via execution of a mapping algorithm, the text content to a plurality of processes based on a synonym graph, generating mapping values for the plurality of processes, where a mapping value for a process is generated based on distance within the synonym graph of a mapping between a word in the text content and a word identifying the process, and determining a process among the plurality of processes that is most correlated to the feedback based on the generated mapping values.

Abstract: Embodiments permit searching across different system landscapes, for data associated with master data objects. A map is constructed comprising (explicit, inferred) connections between different pieces of data located in various databases, systems, and landscapes. In certain embodiments the map is constructed utilizing a parameter (e.g., family name) present in a received query, as a boundary condition. The map may be in tabular form, and may conform to a particular notation scheme. Once the map is constructed, the query is executed thereupon to search for relevant data. The corresponding query result is received and stored, ultimately for communication back to the user posing the original query. Embodiments may be particularly suited to returning private data of a unique entity (e.g., natural person, corporation, juristical person) that is stored over a variety of different master data objects (e.g., employee, customer, supplier) and across complex system landscapes.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for detecting outages in a multiple availability zone cloud environment. Structured data defining network connectivity statuses of network segments is received. Multiple availability zones of the first cloud platform are defined in a multiple availability zone cloud architecture. External structure data defining inbound connectivity statuses of the network segments correspondingly defined for the availability zones of the first cloud platform is iteratively collecting. The inbound connectivity statuses define availability for an entity running at an external cloud platform to the first cloud platform to connect to at least one entity running at the first cloud platform.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes training at least one machine learning model to determine features that can be used to determine whether an image is an authentic image of a document or an automatically generated document image, using a training set of authentic images and a training set of automatically generated document images. A request to classify an image as either an authentic image of a document or an automatically generated document image is received. The machine learning model(s) are used to classify the image as either an authentic image of a document or an automatically generated document image, based on features included in the image that are identified by the machine learning model(s). A classification of the image is provided. The machine learning model(s) are updated based on the image and the classification of the image.

Abstract: A computer-implemented method can measure query locality during execution of a plurality of incoming queries in a database management system. The database management system includes a query execution plan cache which has a size that can store at least some of query execution plans generated for the plurality of incoming queries. Based on the measured query locality, the method can adjust the size of the query execution plan cache.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program observes a parameter associated with a computing system. Upon receiving a change associated with the parameter, the program further determines a routine definition from a set of routine definitions associated with the parameter. Each routine definition in the set of routine definitions specifies a set of instructions associated with a particular parameter associated with the computing system. The program also executes the set of instructions specified in the determined routine definition.

Abstract: A computer system including in-memory cache storage may be used to store collections of metadata that provide a semantic layer for a query of a data source. The computer system may provide multiple users access to the metadata collection, using different security policies for the users, without duplicating the metadata collection in the in-memory storage. For instance, the computer system may retrieve the metadata collection and provide the first user access to the metadata collection based on a first security policy of the first user. The computer system may then provide a second user access to the metadata collection based on a second security policy of the second user, without the metadata collection being duplicated in the in-memory cache storage.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for detecting isolated zones in a cloud platform. Aggregated data for network connectivity status of web agents at the cloud platform is iteratively collected at a health service. The aggregated data is generated based on network call log data for external accessibility of the web agents. The web agents run at different network segments of the cloud platform. The network call log data is generated based on executed network calls issued from one or more external web agents running outside of the cloud platform and directed to each of the web agents at the cloud platform. A poll request for a network connectivity status for inbound connectivity for an entity running on the cloud platform is received. In response to evaluating the collected aggregated data, the network connectivity status for inbound connectivity for the entity is provided.