Abstract: In accordance with an embodiment, described herein is a system and method for providing cross-microservice query processing. The system provides an object service framework that supports the use of microservices that may be loosely-coupled but related in some way, for example in that they interoperate together or require access to each other's data in order to process queries. Each microservice can be developed, deployed and evolve independently, and interact with the other microservices through contracts or interfaces that are defined as public APIs and are then exposed via the framework. The object service framework can be used, for example to provide a cross-microservice layer that automatically transforms queries that join objects in different microservices into a single database query that is optimized for use with the database.

Abstract: A method for automatic key management of network access token public keys for 5GC authorization to mitigate security attacks includes providing, at the NRF, a network access token public key status update notification subscription interface that allows producer NFs to subscribe to receive notifications of updates in status of service access token public keys issued by the NRF. When the NRF determines that an update in status of a service access token public key is required, the NRF updates the status of the public key in its local database and notifies producer NFs that have subscribed to receive the updates. The producer NFs use the public keys to validate service requests from consumer NFs. In one variation, the NRF maintains and updates the status of service access token public keys associated with different service access levels.

Abstract: Embodiments generate machine learning predictions to discover target device energy usage. One or more trained machine learning models configured to discover target device energy usage from source location energy usage can be stored. Multiple instances of source location energy usage over a period of time can be received for a given source location. Using the trained machine learning model, multiple discovery predictions for the received instances of source location energy usage can be generated, the discovery predictions comprising a prediction about a presence of target device energy usage within the instances of source location energy usage. And based on the multiple discovery predictions, an overall prediction about a presence of target device energy usage within the given source location's energy usage over the period of time can be generated.

Abstract: The present embodiments relate to systems and methods for automatic sign in upon account signup. Particularly, the present embodiments can utilize a federated login approach for automatic sign in upon account signup for a cloud infrastructure. Specifically, the signup and sign in service (also known as SOUP) and an identity provider portal can be configured such that the nodes are aware of each other as Security Assertion Markup Language (SAML) partners. After new account registration, the signup service can redirect the user browser to a cloud infrastructure console to start with a federated login flow, where a sign in service can issue a SAML authentication request, and redirects it to signup service. Responsive to validating the browser using a SAML authentication process, the browser can be automatically signed into the new account and allowed access the account relating to the cloud infrastructure service.

Abstract: Embodiments include systems and methods for generating a data throughput estimation model. A system may be monitored to measure both (a) data throughput and (b) computing statistics of one or more computing resources to generate an initial data set. The relationship between the data throughput and the computing statistics, in the initial data set, is used to generate a data throughput estimation model. The data throughput estimation model may be generated using a machine learning model, a neural network algorithm, boosting decision tree algorithm, and/or a random forest decision tree algorithm. Additional measurements of the computing resource statistics may be applied to the data throughput estimation model to estimate data throughput.

Abstract: Methods, systems, and computer readable media for providing a unified interface that is configured to support communication between a user equipment (UE) and application function (AF) via a network exposure function (NEF) are disclosed. One method includes receiving, by a NEF from a session management function (SMF), a protocol data unit (PDU) session event change notification message associated with a UE, establishing, by the NEF, a data delivery path between the UE and an application function (AF) via one of a plurality of data delivery planes that traverse the NEF in response to the PDU session event change notification message and processing, by the NEF, messages communicated between the UE and the AF over any of the plurality of data delivery planes using a single unified interface supported by the NEF.

Abstract: Techniques for generating application interfaces based on semantic-level data are described herein. Application developers may semantically define an application flow. Based on the definition, a system may identify a template of a multipage navigable interface that is compatible with the flow. If multiple templates are compatible, then a template may be recommended or automatically selected based on the semantic information provided by the developer. The system may generate, based on the template and the semantic definition, a multipage navigable interface. The template may encapsulate some design and functional elements in a manner that is independent of the semantic definition.

Abstract: A method for resolution of inter-network domain names between telecommunications networks includes storing, at a security edge protection proxy (SEPP) of a home network, a mapping between a domain name and a network address of a producer network function of the home network. The method includes receiving, at the SEPP of the home network, a request message from a consumer network function of a visitor network. The method includes resolving, at the SEPP of the home network, a request message domain name of the request message using the mapping between the domain name and the network address of the producer network function of the home network.

Abstract: Methods, systems, and computer readable media for routing of packets for lawful interception (LI). A system includes at least one session border controller (SBC) configured for forwarding media streams to a forwarding function. The system includes the forwarding function, implemented on a centralized node for a telecommunications network. The forwarding function is configured for receiving the media streams and forwarding each media stream to a respective lawful intercept mediation server for at least one country associated with the media stream. The forwarding function is configured for, in response to receiving a first packet of a first media stream from the SBC, performing a destination lookup for the first media stream and sending a mediation server identifier for the first media stream to the SBC. The SBC can be configured for sending a session release indicator and a direction flag to the forwarding function.

Abstract: A method for locality and serving scope set based network function (NF) profile prioritization and message routing includes, at an NF including at least one processor, receiving a service based interface (SBI) request including a preferred locality or a servingScope. The method further includes identifying an NF profile of a producer NF with an NF profile level locality or servingScope attribute that does not match the preferred locality or servingScope attribute in the SBI request and with a localitySet or servingScopeSet having a locality attribute or servingScopeSet attribute that matches the preferred locality or servingScope attribute in the SBI request. The method further includes setting an NF profile level priority of the NF profile based on a priority specified for the matching locality attribute in the localitySet or the servingScope attribute in the servingScopeSet.

Abstract: Generating and applying a prediction model based on blockchain data is disclosed. Based on blockchain data related to historical invoices, a prediction model is generated using machine learning. The prediction model is used to generate a recommendation for a particular entity to obtain a target funding amount by a target funding date. The prediction model is applied to the particular entity's outstanding invoices. Based on blockchain data related to the outstanding invoices, the prediction model determines a predicted cost that the particular entity would incur in obtaining funding, by the target funding date, using each outstanding invoice. A funding type to be used for each invoice is also identified. Invoices are selected based on the predicted costs. An interface presents the recommendation to use the selected invoices to obtain the target funding amount by the target funding date.

Abstract: A method for applying or overriding preferred locality criteria in processing NF discovery requests includes, at an NRF including at least one processor, maintaining an NF profiles database including NF profiles of producer NFs registered to provide service to other NFs, receiving, from an NF, an NFDiscover request including a preferred-locality attribute or lacking a preferred-locality attribute, accessing the NF profiles database to identify NF profiles of producer NFs capable of providing a service indicated by query parameters in the NFDiscover request, generating an NFDiscover response including the NF profiles identified as capable of providing the service indicated by the query parameters in the NFDiscover request, prioritizing the NF profiles in the NFDiscover response in a manner that overrides the preferred-locality attribute in the NFDiscover request or applies a preferred locality attribute selected by the NRF, and transmitting the NFDiscover response to the NF that transmitted the NFDiscover requ

Abstract: The present embodiments relate to data processing model recommendation and simulation. A model catalog executing on a cloud infrastructure (CI) system can parse data from an obtained dataset identifying aspects of the dataset. The parsed data from the dataset can be compared with a plurality of potential models stored in a domain ontology store of the model catalog to identify one or more recommended models. A simulation of any of the recommended models can be executed using a portion of the dataset to provide insights into output data resulting from executing the recommended model. The output data resulting from the simulation of the recommended model can be provided to the client for the client to either accept or reject the model.

Abstract: Systems, computer instructions and computer-implemented methods are disclosed for implementing space- and time-efficient enumerations. An instance of an enumeration class may be created with a constant, plurality of enumerations. A plurality of objects corresponding to the respective enumerations may be stored in memory along with a lookup table indexed by respective ordinal values of the plurality of enumerations, the lookup table including respective references to the stored objects of the instantiated enumeration class. A reference to an enumeration may be stored in a memory location by storing an ordinal value of the enumeration. A determination may then be made to convert a stored ordinal value to a reference to an object, and responsive to the determination, the ordinal value may be loaded and used as an index into the lookup table to obtain the reference to the object corresponding to the enumeration.

Abstract: The present disclosure relates to systems and methods for providing cloud-based services securely to on-premises networks or other infrastructure. More particularly, the present disclosure relates to systems and methods for enriching first-party data (e.g., data collected directly by an on-premises server) stored within on-premises networks by enabling the on-premises networks to retrieve and process third-party data stored on cloud-based networks. As a technical benefit, cloud-based services can be performed on the first-party data within the on-premises networks.

Abstract: In accordance with an embodiment, described herein are systems and methods for (a) determining workflow characteristics for use with an integration cloud service or other computing environment; and (b) providing a marketplace that employs a conversational interface to guide users in selecting and retrieving integration artifacts, for example workflows or other assets, to address particular needs. A collection service can receive an indication of an integration archive that defines a business workflow or integration flow, wherein a characteristics server can then extract and persist the characteristics associated with the workflow, for subsequent use in providing a determination of workflows. In accordance with an embodiment, a digital assistant can be employed to allow discovery of workflows by building a discovery criteria based on a knowledge of characteristics associated with various business workflows or integration flows, and through interactive conversations by a user with the digital assistant.

Abstract: Techniques for configuring test operations on a per-module basis are disclosed. A system receives a command for configuring, on a per-module basis, test operations recited in a set of module code corresponding to a particular module of a plurality of modules in a module system. The module system specifies accessibility of each module in the plurality of modules to other modules in the plurality of modules. The system stores configuration information based on the command and configures a test operation included in an element of the particular module based on the stored configuration information. Configuring the test operation includes one of: (a) enabling the test operation without affecting other code recited in-line with the test operation in the element of the particular module; or (b) disabling the test operation without affecting other code recited in-line with the test operation in the element of the particular module.

Abstract: A method for mitigating network function (NF) update and deregister attacks includes, at an NF repository function (NRF) implemented by at least one processor, receiving, from an NF, an NFRegister request including a hash of a first authentication string, an NF instance identifier, and an NF profile. The method further includes storing the hash of the first authentication string. The method further includes registering the NF by storing the NF profile in an NF profile database. The method further includes receiving a first NFUpdate or NFDeregister request including the NF instance identifier. The method further includes using the stored hash of the first authentication string to validate or reject the first NFUpdate or NFDeregister request.

Abstract: Techniques for performing analytics using automatically generated labels for time series data and numerical lists are disclosed. In some embodiments, a system loads a set of one or more time series datasets. A respective time series dataset may include a set of data points based on varying values of a metric of one or more computing resources over a window of time. The system assigns labels to a subset of the data points in the time series datasets. The label assigned to a given data point may be descriptive of a pattern reflected by the data point relative to other data points in the time series. The system further identifies a pattern of automatically assigned labels that is indicative of an event affecting the one or more computing resources. Responsive to identifying the pattern of labels, the system may trigger a responsive action.

Abstract: A client request message is received at a policy enforcement system from a client-side application intended for a server-side application. The client request message is forwarded to a server-side application. An application response message from the server-side application is intercepted at the policy enforcement system in response to the client request message, resulting in an intercepted application response message. The intercepted application response message is analyzed in view of context information and a network policy. Code to inject into the intercepted application response message is determined based on the analyzing. The code has instructions for eliminating accumulation of stale computing sessions. The code is injected into the intercepted application response message, resulting in a modified message. The modified message is forwarded to the client-side application for automatically executing the instructions on the client-side application.

Abstract: In accordance with an embodiment, described herein is a system and method for supporting patching in a multi-tenant application server environment. The system can associate one or more partitions with a tenant, for use by that tenant, wherein a partition is a runtime and administrative subdivision or slice of a domain. A patching process can take advantage of high-availability features provided by an application server clustering environment, to apply patches in a controlled, rolling restart, which maintains a domain's ability to operate without interruption, or with zero downtime. The process can be used to automate complex or long running tasks, including preserving an unpatched or prior version of an application server, application, or other software component for possible rollback, or providing automatic reversion in the event of an unrecoverable error.

Abstract: Techniques are disclosed for identifying hypocrisy in text. A computer system creates, from fragments of text, a syntactic tree that represents syntactic relationships between words in the fragments. The system identifies, in the syntactic tree, a first entity and a second entity. The system further determines that the first entity is opposite to the second entity. The system further determines a first sentiment score for a first fragment comprising the first entity and a second sentiment score for a second fragment comprising the second entity. The system, responsive to determining that the first sentiment score and the second sentiment score indicate opposite emotions, identifies the text as comprising hypocrisy and providing the text to an external device.

Abstract: In accordance with an embodiment, described herein is a system and method for behavior injection in a cloud computing platform (cloud platform) or software application, including the use of injection points to modify the operation or behavior of a tenant platform environment. An injection service enables a cloud platform provider to configure software code/behaviors to be injected into cloud platform modules or other components associated with tenants, including mapping, for a tenant-specific globally unique identifier (GUID) associated with a lifecycle activity injection point, a behavior including a platform code or process and metadata that can be used to inject and modify operation of a corresponding module. The described approach enables a cloud platform to expose behavioral aspects of the cloud platform or a software application executing therein, so that they can be controlled or modified in a dynamic manner, from outside of the cloud platform.

Abstract: Techniques are disclosed for creating an attachment between two compute instances. An infrastructure and a generalized method is described for attaching two or more cloud resources (e.g., two compute instances) in spite of the compute resources being provisioned by two different services from different cloud tenancies. An automated process is described that is executed for wiring the compute instances. The automated process can be generally applied to attach any two compute instances providing two different services and provisioned from two different service tenancies.

Abstract: In some aspects, an aggregation system of a cloud system may receive, by an aggregation system of a cloud system and from a data catalog, one or more events from one or more data sources of the cloud system, the one or more data sources having one or more resource types. The aggregation system may store event data to a message queue. The aggregation system of a cloud system may process, by one or more workers of the cloud system, a subset of events from the message queue at a time. The aggregation system may for each event in the subset of events: determine whether an event source has been updated based on information in the event. The aggregation system may in accordance with a determination that the event source has been updated, send an updated status to a dashboard, the dashboard configured to be displayed on a user device.

Abstract: Systems and methods of interface-based ACLs in a virtual Layer-2 network. The method can include sending a packet from source compute instance in a virtual network to a destination compute instance via a destination virtual network interface card (destination VNIC) within a first virtual layer 2 network and evaluating an access control list (ACL) for the packet with a source virtual network interface card (source VNIC). ACL information relevant to the packet can be embedded in the packet. The VSRS can receive the packet and can identify the destination VNIC within the first virtual layer 2 network for delivery of the packet based on information received with the packet and mapping information contained within a mapping table. The VSRS can access ACL information from the packet and can apply the ACL information to the packet.

Abstract: Systems, devices, and methods of the present invention detect deceptive or fake content in text. In an example, a computer system generates, from text a discourse tree that represents rhetorical relationships between fragments of the text. The computer system generates a communicative discourse tree from the discourse tree. The computer system identifies a number of non-trivial rhetorical relations associated with the nonterminal nodes in the communicated discourse tree and, for each terminal edge having a communicative action, a level of nesting of the communicative action. The computer system derives, from the number of non-trivial rhetorical relations and the levels of nesting of the identified communicative actions, a complexity score that is indicative of a level of deception in the text.

Abstract: A ledgered repository of persistent data objects is replicated on a network of persistent storage systems (PSSs) by transactions recorded across multiple blockchains. The blockchains are replicated on each of the PSSs. Using multiple blockchains enables greater parallelism; however, use of the multiple blockchains requires using measures that ensure that transactions distributed across multiple blockchains are applied in way that ensures a level of transactional consistency. Furthermore, the measures are efficient, thereby reducing overhead of maintaining a level of transactional consistency and increasing throughput of applying the transactions using multiple blockchains.

Abstract: Approaches of reassigning a home region from a first data center to a second data center as requested by a customer are described herein. The home region is able to implement write operations to a domain, whereas other data centers cannot implement write operations to the domain. The customer can request the home region being reassigned to another data center such that the customer can utilize the other data center to implement write operations to the domain.

Abstract: A system is provided that processes supply chain events. The system defines a supply chain event type. The system further configures a supply chain event of the supply chain event type as a task generating event, where the task generating event indicates that one or more tasks that are defined for a supply chain financial orchestration flow are to be executed, and where the supply chain financial orchestration flow defines a trade relationship between a first entity and a second entity. The system further receives a supply chain event associated with the supply chain financial orchestration flow. The system further determines whether the supply chain event is a task generating event. The system further executes the one or more tasks that are defined for the supply chain financial orchestration flow where the supply chain event is a task generating event.

Abstract: Resource allocation limitations include resource limits and resource guarantees. A consumer is vulnerable to interruption by other consumers if using more resources than guaranteed. Resources are designated and/or assigned consumers based on resource limits and resource guarantees. A constraint programming (CP) solver determines resource limits and resource guarantees that minimize vulnerability and/or vulnerability cost based on resource usage data. A CP data model includes limit elements, guarantee elements, and vulnerability elements. The CP data model further includes guarantee-vulnerability constraints, which relies on exceedance distributions generated from resource usage data for the consumers. The CP data model declaratively expresses combinatorial properties of a problem in terms of constraints. CP is a form of declarative programming.

Abstract: Embodiments relate to improving efficiency of data analytics performed on sets of entity data in which different entity properties having very different update frequencies. Time-based analytical queries track the entity states at each moment within a given time window. Analytical queries are executed over a massive number of entity states while using a reasonable memory footprint. The technique partitions the entity properties into partial historical snapshots of data and combines the partial snapshots on demand only as needed to execute analytical queries over business entities. A complete entity state having values for all entity properties is not required to execute most queries. Only partial snapshots including values referenced by the query need to be combined to satisfy the query. Using partial snapshots minimizes data replication, and the snapshots can be efficiently combined into entity states sufficient for query execution.

Abstract: A global state associated with a garbage collection (GC) process is a state assumed by a reference after GC operations for a current GC phase are performed for the reference. A frame state of a frame on a call stack of an application thread tracks a progress of GC operations for references therein. A color watermark is added after a global state change. The frame originally marked by a stack watermark is now marked by the new color watermark. The new color watermark marks a deepest frame on the call stack having the old global state. A color watermark is deleted when the stack watermark meets the color watermark. If the stack watermark is shifted in the call stack to mark the same frame as a color watermark, then the color watermark is deleted. The marked frame is a deepest frame on the call stack having the current global state.

Abstract: Embodiments determine an eligibility of a request for an operation event from a client using a distributed ledger that comprises a plurality of nodes. Embodiments send the request from the client to a primary node of the distributed ledger, the request comprising a first token. Embodiments validate the node at the primary node with a token provider, broadcast the request to all secondary nodes of the distributed ledger and perform a service by the primary node and the secondary nodes in response to the request. Embodiments send a reply to the client from each of the primary node and the secondary nodes when the service is performed successfully by the respective node, the reply comprising a second token. Embodiments then determine an eligibility of the client for the request based on a count of a number of second tokens received by the client.

Abstract: Techniques for reducing overhead in native function calls are disclosed. The system may receive a method invocation instruction for invoking a particular method. The method invocation instruction includes a function descriptor, a method type, and an application binary interface (ABI) descriptor. The function descriptor includes a memory layout corresponding to any data returned by the function and memory layouts corresponding to each argument for the particular method. The system can select an ABI for processing the particular method based on the received ABI descriptor. The system can further associate each argument with a corresponding particular physical register into which the argument is to be loaded. The particular register is selected based on at least the selected ABI and the function descriptor. The system can cause a virtual machine to move each argument into the corresponding associated physical register.

Abstract: The present disclosure provides dynamic routing for data flows to a customer network hosted in the cloud. A plurality of compute instances may share a common virtual IP address. Each of the plurality of compute instances may advertise information to a respective network virtualization device (NVD). The information may include the IP address, cost, and/or active/standby status of the compute instance. The NVD may then provide the information to the control plane of a virtual cloud network (VCN), which may aggregate the information from the plurality of compute instances and generate a forwarding table, which may be sent to the NVDs. These techniques may allow a customer to automatically remove a compute instance whose service host has failed. These techniques may also allow a customer to add compute instances and to route data flows according to an active-standby operation, an equal cost active-active operation, or an unequal cost active-active operation.

Abstract: Techniques are described herein processing asynchronous power transition events while maintaining a persistent memory state. In some embodiments, a system may proxy asynchronous reset events through system logic, which generates an interrupt to invoke a special persistent flush interrupt handler that performs a persistent cache flush prior to invoking a hardware power transition. Additionally or alternatively, the system may include a hardware backup mechanism to ensure all resets and power-transitions requested in hardware reliably complete within a bounded window of time independent of whether the persistent cache flush handler succeeds.

Abstract: The present invention relates to join acceleration. In an embodiment, a computer receives a request for a relational join of build data rows with probe data rows. Based on the request for the relational join, a particular kind of data map from many kinds of data map that can implement the relational join is dynamically selected. Based on the build data rows, an instance of the particular kind of data map is populated. A response is sent for the request for the relational join that is based on the probe data rows and the instance of the particular kind of data map.

Abstract: A hardware-assisted Distributed Memory System may include software configurable shared memory regions in the local memory of each of multiple processor cores. Accesses to these shared memory regions may be made through a network of on-chip atomic transaction engine (ATE) instances, one per core, over a private interconnect matrix that connects them together. For example, each ATE instance may issue Remote Procedure Calls (RPCs), with or without responses, to an ATE instance associated with a remote processor core in order to perform operations that target memory locations controlled by the remote processor core. Each ATE instance may process RPCs (atomically) that are received from other ATE instances or that are generated locally. For some operation types, an ATE instance may execute the operations identified in the RPCs itself using dedicated hardware. For other operation types, the ATE instance may interrupt its local processor core to perform the operations.

Abstract: The present disclosure generally relates to systems and methods for efficiently and dynamically integrating a chatbot into an application service. More specifically, the present disclosure relates to systems and methods that dynamically build custom components that enable the chatbot to communicate and facilitate the use of the application service directly from the chatbot application. Accordingly, the systems and methods described herein provide the benefit of integrating the chatbot application into an application service without having the application developer write code for the integration, thereby enhancing the computational efficiency of the integration and the reliability of the application service when new services or service functionality are added or modified.

Abstract: Techniques are described herein for prediction of an buffer pool size (BPS). Before performing BPS prediction, gathered data are used to determine whether a target workload is in a steady state. Historical utilization data gathered while the workload is in a steady state are used to predict object-specific BPS components for database objects, accessed by the target workload, that are identified for BPS analysis based on shares of the total disk I/O requests, for the workload, that are attributed to the respective objects. Preference of analysis is given to objects that are associated with larger shares of disk I/O activity. An object-specific BPS component is determined based on a coverage function that returns a percentage of the database object size (on disk) that should be available in the buffer pool for that database object. The percentage is determined using either a heuristic-based or a machine learning-based approach.

Abstract: Described are improved systems, computer program products, and methods for adaptively provisioning an ordered sequence in a clustered database environment. The approach includes identifying a cached list of sequence numbers. A request for one or more sequence numbers in a database environment may be received. A determination may be made to decide whether the request pertains to an ordered sequence. The one or more sequence numbers may be adaptively provisioned to fulfill the request based at least in part upon an independent cache implementation or upon a shared cache implementation.

Abstract: Aspects of the present disclosure include implementing fabric availability and synchronization (FAS) agents within a fabric network. In one example, a first FAS agent executing on a first network device may receive, from a second network device, a command to modify a configuration of a second network device. The first FAS may upgrade the configuration of the first network device based on the command from a current configuration to a new configuration. The first FAS agent increment a state identifier associated with the configuration of the first network device to a new state identifier associated with the new configuration. The first FAS agent may then transmit a control packet that includes the new state identifier. A second FAS agent executing on the second network device may receive the control packet and execute the command to update the configuration of the second network device to the new configuration.

Abstract: Techniques are provided for using context tags in named-entity recognition (NER) models. In one particular aspect, a method is provided that includes receiving an utterance, generating embeddings for words of the utterance, generating a regular expression and gazetteer feature vector for the utterance, generating a context tag distribution feature vector for the utterance, concatenating or interpolating the embeddings with the regular expression and gazetteer feature vector and the context tag distribution feature vector to generate a set of feature vectors, generating an encoded form of the utterance based on the set of feature vectors, generating log-probabilities based on the encoded form of the utterance, and identifying one or more constraints for the utterance.

Abstract: Methods, systems, and computer readable media for network function (NF) discovery using preferred-locality information are disclosed. One example method for NF discovery using preferred-locality information comprises: at a first NF comprising at least one processor: receiving a message relating to a transaction involving a consumer NF; identifying, from the message, an NF instance identifier (ID) corresponding to the consumer NF; determining, using the NF instance ID and a data store including NF related information and corresponding preferred-locality information, a preferred-locality value; including the preferred-locality value in a preferred-locality information element (IE) of an NF discovery request; and transmitting the NF discovery request toward a second NF.

Abstract: Herein are techniques that train regressor(s) to predict how effective would a machine learning model (MLM) be if trained with new hyperparameters and/or dataset. In an embodiment, for each training dataset, a computer derives, from the dataset, values for dataset metafeatures. The computer performs, for each hyperparameters configuration (HC) of a MLM, including landmark HCs: configuring the MLM based on the HC, training the MLM based on the dataset, and obtaining an empirical quality score that indicates how effective was said training the MLM when configured with the HC. A performance tuple is generated that contains: the HC, the values for the dataset metafeatures, the empirical quality score and, for each landmark configuration, the empirical quality score of the landmark configuration and/or the landmark configuration itself. Based on the performance tuples, a regressor is trained to predict an estimated quality score based on a given dataset and a given HC.

Abstract: Embodiments are directed to a multi-tenant cloud system. Embodiments receive a request for an authentication action for a user and create an authenticate target action. Embodiments register a cache listener to listen for a target action response that is responsive to the authenticate target action and initiate the authentication action for the user at an on-premise active directory (“AD”) via a bridge. Embodiments wait for a cache callback and, at the cache callback, receive a target action response comprising a result of the authentication action.

Abstract: Systems, computer-implemented methods, and computer-readable media for facilitating resource balancing based on resource capacities and resource assignments are disclosed. Electronic communications, received via interfaces, from monitoring devices to identify resource descriptions of resources may be monitored. A resource descriptions data store may be updated to associate each entity of the entities and resource capacities of each resource type of resource types. A first electronic communication, from resource-controlling systems, may be detected. Model data from a model data store may be accessed based on the identified resource descriptions. A first model may be identified based on the model data. A resources assessment corresponding may be generated based on whether a threshold is satisfied based on the first model, a first resource capacity of a first resource type, and the first electronic communication.

Abstract: Techniques to create zone maps automatically and efficiently for database query processing are disclosed. The techniques comprise creating a sample dataset to represent an original dataset, building a query workload modeler to characterize a full workload of queries, constructing a clustering quality evaluator to evaluate query performance on a dataset with a certain clustering on the columns, finding a clustering solution by evaluating different applications of the workload to the sample dataset corresponding to different clusterings, and determining which columns of the clustering solution could benefit from zone maps.

Abstract: In accordance with an embodiment, a system and method for dynamic auto-scaling based on roles is provided. Within a system, a node, based upon a load demand, can be duplicated. Additionally, when duplicating a node, the role of the node can be used to determine various characteristics of the duplicated node, taking into account various factors.