Abstract: Data (e.g., security data) is presented at increasing levels of detail in a drill down on graphical displays. The data can be retrieved pursuant to a request, such as a search. A first graphical display corresponds to a first level of the detail. A first actionable graphic is displayed, which, when activated, presents a second graphical display with more detail. Thus, nested graphical displays are provided. The detailed data may be retrieved in response to a search, with only the high-level data graphically displayed first, with the additional data and stored templates be ready to instantly produce the nested, detailed charts upon use activation.

Abstract: Implementations are disclosed for facilitating visual programming of machine learning state machines. In various implementations, one or more graphical user interfaces (GUIs) may be rendered on one or more displays. Each GUI may include a working canvas on which a plurality of graphical elements corresponding to at least some of a plurality of available logical routines are manipulable to define a machine learning state machine. One or more of the available logical routines may include logical operations that process data using machine learning model(s). Two or more at least partially redundant logical routines that include overlapping logical operations may be identified, and overlapping logical operations of the two or more at least partially redundant logical routines may be merged into a consolidated logical routine. At least some of the logical operations that were previously downstream from the overlapping logical operations may be logically coupled with the consolidated logical routine.

Abstract: A method and apparatus for modifying a user interface. The method comprises receiving user interface data at a client from a first server, receiving modification computer program code at said client, and executing said modification computer program code at said client to modify said user interface data to generate modified user interface data. The modification computer program code can be received from said first server or from a further server.

Abstract: A system and method for accessing elements of a table in a digital image of the table, including: obtaining the digital image of the table; finding table elements in the digital image based on digital table properties, wherein the table elements define table cells; calculating coordinates of the table cells in the digital image based on the table elements; and accessing content of a selected table cell in the digital image using the coordinates of the selected table element.

Abstract: Text entry is a significant part of human-computer interactions. Software application vendors have sought to minimize time spent on repeated input of defined information. However, such approaches have limitations which the inventors have addressed such that field population is contextually aware either so that specific sets of user entered data are not accessible in all situations, only specific sets of user entered data are accessible in all situations, sensitive data is automatically removed from data being stored and a specific set of data to be employed based upon a context of the user and/or software application. Further, enhancements to address the additional complexities of remote clients are presented allowing a filling or auto-fill process to follow the program rules, follow text attributes etc. whilst supporting input from different sources such as a keyboard (physical or virtual), human interface devices (HIDs), clipboard(s), another remote client or virtual device.

Abstract: The disclosure provides an approach for authenticating a user of a computer system, wherein the computer system implements a virtual desktop infrastructure (VDI), the method comprising connecting to a computing device through a network, receiving from the computing device authentication credentials, and determining whether the authentication credentials match an authorized user of the computer system. The approach further comprises extracting from the computing device features of the computing device, retrieving a machine learning (ML) model associated with the authorized user, wherein the ML model is at least one of (a) a supervised ML model or (b) an unsupervised ML model, and executing the ML model to authenticate the features of the computing device.

Abstract: A controller for a memory component comprises a processing unit and at least one memory unit coupled to the processing unit, the memory unit comprising at least a first area for storing a user firmware and a second area for storing a controller firmware; the processing unit is configured to capture a memory address of a program instruction to be executed, compare the memory address with a reference value, and, based on that comparison, enable/restricting actions associated with the program instruction. A related memory component and related methods are also disclosed.

Abstract: A data parallel pipeline may specify multiple parallel data objects that contain multiple elements and multiple parallel operations that operate on the parallel data objects. Based on the data parallel pipeline, a dataflow graph of deferred parallel data objects and deferred parallel operations corresponding to the data parallel pipeline may be generated and one or more graph transformations may be applied to the dataflow graph to generate a revised dataflow graph that includes one or more of the deferred parallel data objects and deferred, combined parallel data operations. The deferred, combined parallel operations may be executed to produce materialized parallel data objects corresponding to the deferred parallel data objects.

Abstract: Methods, apparatuses, and computer program products are described. A system may run a set of Automated Structure processing (ASP) scripts on a program binary executable written in C-language without making changes to source-code. The system may generate a set of dictionary files indicating data structural information specifically for the C-language program based on running the set of ASP scripts on the program binary executable. The dictionary files may include a list of C-structures referenced and type definitions and structure layouts associated with the C-structures. The system may combine the data structural information with an ASP library to generate an extended ASP library, and may augment the program binary executable with the extended ASP library to generate an augmented program binary executable. The system may programmatically perform an introspection and data discovery procedure on a C-language program at run-time using the augmented program binary executable.

Abstract: A method for operating at least a container application and a component application. The container is an application hosting the component application. The method includes the following: providing a library of code files, a bootloader and further executable code files, wherein the component creates a probing message to the container application, and the container creates a response message containing references to code files to be loaded by the component.

Abstract: A system including at least one data processor and at least one memory is provided. The at least one memory may store instructions that cause operations when executed by the at least one data processor. The operations may include determining a processing or memory storage threshold of a database system has been satisfied, the database system including a cloud infrastructure, a plurality of virtual machines, and a plurality of containers deployed on the plurality of virtual machines, the database system having a Non-Uniform Memory Access (NUMA) topology. The operations may include requesting provisioning of a virtual machine to the database system. The operations may include obtaining information regarding the NUMA topology and a performance of the database system. The operations may include determining a virtual machine for placement of the container based on the information. The operations may include deploying the container on the determined virtual machine.

Abstract: A processing system includes an interconnect, a master processing device including processing cores coupled to the interconnect, a hypervisor coupled to the interconnect and configured to allocate the processing cores to one or more virtual machines, domain configuration information including a domain identifier for each of the one or more virtual machines, remote peripheral devices coupled to the interconnect, and a domain access controller coupled to the interconnect and configured to receive the domain identifiers for the remote peripherals directly from the hypervisor through the interconnect.

Abstract: The present disclosure relates generally to techniques for processing asynchronous queries across multiple data cores including secondary data cores stored in the secondary storage system in a distributed computing system. Secondary data cores are recovered in the data plane from secondary storage in order to be accessible for searching. Using this technique, asynchronous queries are run in parallel allowing the client to dynamically manage the queries and receive notifications when results are available.

Abstract: A request to initiate a launch procedure of a compute instance at a virtualization host configured to access a remote storage device over a network is received. A memory buffer of the host is allocated as a write-back cache for use during a portion of the launch procedure. In response to a write request directed to remote storage during the portion of the launch procedure, the write payload is stored in the buffer and an indication of fulfillment of the write is provided independently of obtaining an acknowledgement that the payload has been propagated to the remote storage. Subsequent to the portion of the launch procedure, payloads of other write requests are transmitted to the remote storage device.

Abstract: A virtual machine (VM) management utility tool may deploy an object model that may persist one or more virtual machine dependencies and relationships. Through a web front-end interface, for example, the VMs may be started in a specific order or re-booted, and the tool automatically determines the additional VMs that need to be re-booted order to maintain the integrity of the environment. Through the web interface, for example, the object model may be managed, and start-up orders or VM dependencies may be updated. For VMs that may not start under load, the object model may access to the VM until the VM is fully initialized.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to intelligently select content items for provisioning. In one example, the apparatus includes content library querying circuitry that queries a subscription guide database table to generate a list of subscriber content items linked to a target published content item indicated in the request. The apparatus also includes content library selection circuitry to select a first content item from a group of content items that include the generated list of the subscriber content items and the target published content item, the first content item corresponds to a first data access cost that is less than or equal to a second data access cost of a second content item in the group. The apparatus also includes virtual machine provisioning circuitry to provision the virtual machine on the target host with access to the first content item.

Abstract: A computer-implemented method for detecting bottlenecks in microservice cloud systems is provided including identifying a plurality of nodes within one or more clusters associated with a plurality of containers, collecting thread profiles and network connectivity data by periodically dumping stacks of threads and identifying network connectivity status of one or more containers of the plurality of containers, classifying the stacks of threads based on a plurality of thread states, constructing a microservice dependency graph from the network connectivity data, aligning the plurality of nodes to bar graphs to depict an average number of working threads in a corresponding microservice, and generating, on a display, an illustration outlining the plurality of thread states, each of the plurality of thread states having a different representation.

Abstract: A system, method, and apparatus are provided for handling communications with external communication channel hardware devices by a processor executing event-based programming code to interface a plurality of virtual machines with the external communication channel hardware devices by providing the processor with an event latch for storing hardware events received from the external communication channel hardware devices, with a timer circuit that generates a sequence of timer interrupt signals, and with a masking circuit that masks the hardware events stored in the event latch with an event mask in response to each timer interrupt signal, where each event mask is associated with a different virtual machine running on the processor such that each virtual machine is allowed to communicate only on a masked subset of the hardware events specified by the event mask to ensure freedom from interference between the plurality of virtual machines when communicating with the external communication channel hardware device

Abstract: Techniques of handling interrupt escalation are implemented in hardware. In at least one embodiment, an interrupt presentation controller (IPC) receives an event notification message requesting an interrupt, specifying an interrupt priority, and referencing a virtual processor (VP) thread. The IPC determines whether the VP thread matches any interruptible VP thread. If not, the IPC conditionally escalates the interrupt requested by the event notification message. Conditionally escalating the interrupt includes determining whether or not the interrupt priority is greater than the operating priority of any interruptible VP thread. If so, the IPC initiates escalation of the interrupt requested by the event notification message to a next higher software stack level by issuing an escalate message. If not, the IPC refrains from escalating the interrupt requested by the event notification message.

Abstract: An example method of extending a cloud director configured to manage a cloud computing system includes: receiving requests to register external services with the cloud director; generating phase associations between the external services and an extensible phase of a workflow of the cloud director; executing the workflow of the cloud director and, in response to reaching the extensible phase, determining an execution order for at least one of the phase associations; and sending a message from the cloud director to each external service of the at least one phase association based on the execution order.

Abstract: This technology relates to transferring state information between processes or active software programs in a computing environment where a new instance of a process or software program may receive such state information even after an original or old instance of the process or software program that owned the state information has terminated either naturally or unnaturally.

Abstract: A method of scheduling tasks in a processor comprises receiving a plurality of tasks that are ready to be executed, i.e. all their dependencies have been met and all the resources required to execute the task are available, and adding the received tasks to a task queue (or “task pool”). The number of tasks that are executing is monitored and in response to determining that an additional task can be executed by the processor, a task is selected from the task pool based at least in part on a comparison of indications of resources used by tasks being executed and indications of resources used by individual tasks in the task pool and the selected task is then sent for execution.

Abstract: The technology describes scanning tree data structures (trees) for multiple processes, at least partly in parallel. A service scans a tree from a beginning tree element to an ending tree element on behalf of a process; while scanning, another process can join in the scan at an intermediate tree element location (e.g., a key). For the subsequent process, the service scans the tree based on the intermediate location to the tree end, thereby visiting tree elements in parallel until the tree end, then continuing from the tree beginning element to the intermediate location for the subsequent process. The service basically completes a full carousel-type revolution for each process. One or more other processes can join an ongoing scan at any time, facilitating further parallel tree element visits, while still obtaining a full scan of the entire set of tree elements. The service handles changing tree versions during the scanning.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scheduling operations represented on a computation graph. One of the methods receiving, by a computation graph system, a request to generate a schedule for processing a computation graph, obtaining data representing the computation graph generating a separator of the computation graph; and generating the schedule to perform the operations represented in the computation graph, wherein generating the schedule comprises: initializing the schedule with zero nodes; for each node in the separator: determining whether the node has any predecessor nodes in the computation graph, when the node has any predecessor nodes, adding the predecessor nodes to the schedule, and adding the node in the schedule, and adding to the schedule each node in each subgraph that is not a predecessor to any node in the separator on the computation graph.

Abstract: Systems and methods are disclosures for scheduling code in a multiprocessor system. Code is portioned into code blocks by a compiler. The compiler schedules execution of code blocks in nodes. The nodes are connected in a directed acyclical graph with a top node, terminal node and a plurality of intermediate nodes. Execution of the top node is initiated by the compiler. After executing at least one instance of the top node, an instruction in the code block indicates to the scheduler to initiate at least one intermediary node. The scheduler schedules a thread for execution of the intermediary node. The data for the nodes resides in a plurality of data buffers; the index to the data buffer is stored in a command buffer.

Abstract: The present disclosure relates generally to virtualization, and more particularly to techniques for deploying containers in a virtual environment. The container scheduling can be based on information determined by a virtual machine scheduler. For example, a container scheduler can receive a request to deploy a container. The container scheduler can send container information to the virtual machine scheduler. The virtual machine scheduler can use the container information along with resource utilization of one or more virtual machines to determine an optimal virtual machine for the container. The virtual machine scheduler can send an identification of the optimal virtual machine back to the container scheduler so that the container scheduler can deploy the container on the optimal virtual machine.

Abstract: A distributed machine learning optimization flow processing engine is proposed. The processing engine takes into account the structure of the programming to assign proper allocation within a distributed computing infrastructure. The processing engine also takes into account availability and loads of the different computing elements within the distributed infrastructure to maximize their utilization according to the software being executed.

Abstract: A scheduler manages execution of a plurality of data-collection jobs, assigns individual jobs to specific forwarders in a set of forwarders, and generates and transmits tokens (e.g., pairs of data-collection tasks and target sources) to assigned forwarders. The forwarder uses the tokens, along with stored information applicable across jobs, to collect data from the target source and forward it onto an indexer for processing. For example, the indexer can then break a data stream into discrete events, extract a timestamp from each event and index (e.g., store) the event based on the timestamp. The scheduler can monitor forwarders' job performance, such that it can use the performance to influence subsequent job assignments. Thus, data-collection jobs can be efficiently assigned to and executed by a group of forwarders, where the group can potentially be diverse and dynamic in size.

Abstract: Methods, systems, and apparatus, including computer-readable media, for environment monitoring and management. In some implementations, information indicating a planned usage level for usage of cloud computing services is accessed by a group of multiple computing environments over a period of time. Usage of cloud computing services is monitored for the group of multiple computing environments. A usage measure indicating an amount of usage of cloud computing services by the group of multiple computing environments is generated over the period of time. A cloud computing usage notification is generated based on the planned usage level and the usage measure. The cloud computing usage notification is provided for presentation by an electronic device.

Abstract: Techniques for computing and storing object identity hash values are disclosed. In some embodiments, a runtime system generates a value, such as a nonce, that is unique to a particular allocation region within memory. The runtime system may mix the value with one or more seed values that are associated with one or more respective objects stored in the allocation region. The runtime system may obtain object identifiers for the respective objects by applying a hash function to the result of mixing the seed value with at least the value associated with the allocation region. Conditioning operations may also be applied before, during or after the mixing operations to make the values appear more random. The nonce value may be changed from time to time, such as when memory is recycled in the allocation region, to reduce the risk of hash collisions.

Abstract: A cloud resource audit system includes a plurality of datacenter hardware resources and a cloud resource management controller that is coupled to the plurality of datacenter hardware resources and that allocates a first portion of the plurality of datacenter hardware resources to run one or more workloads for a first end user on the first portion of the plurality of datacenter hardware resources. The cloud resource management controller then executes a first set of audit instructions to performs a first audit action on one or more datacenter hardware resources included in the first portion of the plurality of datacenter hardware resources, and provides, in response to the first set of audit instructions being executed and the first audit action being performed, a first set of audit results to an audit terminal device.

Abstract: A system and method for aggregating host machines into a single cloud node for workloads requiring excessive resources. The method includes providing a plurality of computing devices in association with a cloud service system. The method includes defining an aggregated node of the cloud service system corresponding to at least two computing devices of the plurality of computing devices. The method includes exposing an application programming interface (API) that is indicative of combined resources of the at least two computing devices of the plurality of computing devices. The method includes receiving a query to perform a workload requiring a set of resources that exceed the resources provided by each of the computing devices of the cloud service system. The method includes forwarding, to the aggregated node, the query to cause the at least two computing devices to perform the workload using the combined resources of the least two computing device.

Abstract: Task/resources are randomly assigned a number of times and a score for each solution of the random assignment is calculated. Using machine learning and artificial intelligence, a subset of the solutions is selected. Assignment of task/resource within the subset may be randomly changed, e.g., a task/resource assignment between two entities, a task/resource within the selected subset may be replaced with another task/resource (without swapping), etc. The additional solutions form a super solution with the selected subset and the score associated with the additional solutions are calculated. The process of selection of assignments, random changes to the assignment and calculating the scores associated with the new solutions is repeated a number of times until a certain condition is met, e.g., a number of iterations, time out, improvement between two iterations is less than a certain threshold, etc. Once the certain condition is satisfied, a solution is selected.

Abstract: A system to facilitate infrastructure management is described. The system includes one or more processors and a non-transitory machine-readable medium storing instructions that, when executed, cause the one or more processors to execute an infrastructure management controller to receive a request to provide infrastructure management services and generate a mapping between at least one instance of the infrastructure management controller and one or more resource instances at one or more on-premise infrastructure controller instances to provide the cloud based infrastructure management services, wherein the request includes one or more configuration parameters.

Abstract: A tenant management system includes an application management portion and a server resource management portion. The application management portion terminates a request from a user at a tenant specific application that is an application prepared for a tenant in a solution built on a public cloud. The server resource management portion provisions resource of a web server that realizes the tenant specific application. When a value that is obtained by multiplying a number of users who are registered in association with a particular tenant specific application for a particular tenant, by an amount of resource that is assumed to be consumed when one user uses the particular tenant specific application, has exceeded a current amount of resource of the particular tenant specific application for the particular tenant, the server resource management portion additionally provisions a particular amount of resource of the particular tenant specific application for the particular tenant.

Abstract: A liaison system and corresponding method consumerize cloud computing. The system comprises a cloud job manager coupled to a first cloud service provider system, a second cloud service provider system, and a pool of consumer devices allocated for use by the liaison system for cloud computing. The cloud job manager manages a first end user request sent from a first end user device to the first cloud service provider system to perform a first computational job via cloud computing and manages the first end user request by selecting a first consumer device to perform at least a portion of the first computational job and assigning the at least a portion of the first computational job to the first consumer device selected.

Abstract: An apparatus includes a multi-tenant computer system including a processor and a memory operatively coupled to the processor. The apparatus receives a first service request from a first compute device and a second service request from a second compute device. Data values of the first service request are not accessible by the second compute device and data values of the second request are not accessible by the first compute device. The apparatus merges the data values of the first service request and the data values of the second service request and filters the results based on a set of rules not accessible to the second compute device to produce a first filtered result responsive to the second service request. The apparatus also filters the results based on a set of rules not accessible to the first compute device to produce a second filtered result responsive to the first service request.

Abstract: A request is received from a client device at a first datacenter of a distributed cloud computing network. The first request triggers execution of code at the distributed cloud computing network. The execution of the code includes transmitting additional requests to destination(s) external to the distributed cloud computing network. A second datacenter of the distributed cloud computing network is selected to execute the code, where the selection is based on an optimization goal. The code is executed at the second datacenter. The first datacenter receives a result from the code being executed at the second datacenter. The first datacenter transmits a response to the client device that is based at least in part on the result.

Abstract: Various embodiments are disclosed of a compilation with optimization for multi-processor system with processing elements optimized for high performance and low power dissipation and an associated method of programming the processing elements. Application source code may be initially compiled into an intermediate representation. Following the initial compilation, resources may be mapped and communication synthesis performed. Simulation and debug may be performed prior to loading an executable image onto the multi-processor system. At each step, checks may be performed for possible optimizations, and one or more steps repeated using results of the checks.

Abstract: A method of collecting and reporting inventory of resources deployed in a data center that includes hardware resources, a virtualization management software executed to provision virtual resources from the hardware resources, and a cloud management server executed to provision the virtual resources for tenants of the data center, includes the steps of: executing a first API call to the virtualization management software to collect first inventory of virtual resources deployed in the data center and a second API call to the cloud computing management software to collect second inventory of virtual resources deployed in the data center; storing the first and second inventory; and in response to an inventory request from a central orchestrator, initially sending a subset of the stored first and second inventory to the central orchestrator in accordance with parameters included in the inventory request, and thereafter sending updates to the subset to the central orchestrator periodically.

Abstract: System resource utilizations by one or more core functionalities of a data storage system is monitored. A system resource allocation for one or more applications of the data storage system is determined based at least in part on the monitored system resource utilizations. A number of virtualization resource units allocated to at least one of the one or more applications is scaled based at least in part on the determined system resource allocation. The number of virtualization resource units allocated to the at least one of the one or more applications is based on a corresponding ratio associated with the at least one of the one or more applications.

Abstract: Various examples are disclosed for performing cross-cluster load balancing. In some aspects, a workload is selected for cross-cluster migration. A destination cluster is identified for a migration of the workload from a source cluster to the destination cluster. A cross-cluster migration recommendation is generated to migrate the workload from the source cluster to the destination cluster.

Abstract: Computerized systems and methods for managing API information. An exemplary method includes receiving an input from a user device associated with a first computer system, the input not including identity of a second computer system. The method includes determining a target API based on the input, the target API being the second computer system's API. The method also includes determining whether a user of the user device has access to the target API. The method includes retrieving documentation of the target API from an API database if it is determined that the user has access to the target API. The method includes providing the user device with the retrieved documentation.

Abstract: A first feature (e.g., chart or table) includes a reference to a dynamic pointer. Independently, the pointer is defined to point to a second feature (e.g., a query). The first feature is automatically updated to reflect a current value of the second feature. The reference to the pointer and pointer definition are recorded in a central registry, and changes to the pointer or second feature automatically cause the first feature to be updated to reflect the change. A mapping between features can be generated using the registry and can identify interrelationships to a developer. Further, changes in the registry can be tracked, such that a developer can view changes pertaining to a particular time period and/or feature of interest (e.g., corresponding to an operation problem).

Abstract: Computer-implemented systems and methods for analyzing applications include, obtaining user data records from a server, constructing an instruction template, the instruction template includes main streams, the instruction template adding the user data records as user parameters corresponding to the main streams, transmitting the user data records to a file transfer connection, inputting the instruction template and a first command into the file transfer connection, the file transfer connection executes the first command, inputting the file transfer connection and a second command into the script file, the script file executes the second command, opening each of the main streams through the pre-defined driver program by using variable records to retrieve a plurality of in-streams of each of the main streams, aggregating the main streams and the in-streams associated with the user parameters resulting a final output, transmitting the final output to the server.

Abstract: A message processing method is provided. The message processing method comprises the steps of receiving a message, checking the value of an extended protocol discriminator of the message. If the value of the extended protocol discriminator corresponds to a special extended protocol discriminator, the method includes modifying the special extended protocol discriminator to a regular extended protocol discriminator.

Abstract: Embodiments of the present invention are directed to facilitating efficient message queueing. In particular, embodiments herein describe, among other things, a redelivery monitor used to monitor when to redeliver messages, or tasks, for reprocessing based on expiration of a redelivery deadline. In this regard, markers indicating processing states for tasks being processed are read by the redelivery monitor. When the processing state indicates that processing is ongoing, the redelivery deadline is extended such that a message or task is not redelivered for processing while the message or task is being processed.

Abstract: A method is disclosed. The method comprising receiving, by a processor computer from a coordination computer, a push transfer instruction message comprising a recipient address associated with a recipient, a data item, and a time period for transferring the data item to a recipient account associated with the recipient address. The method also includes storing, by the processor computer, the push transfer instruction message. After the time period, the push transfer instruction message comprising the data item is transmitted to a recipient authorizing entity computer associated with the recipient address to transfer the data item.

Abstract: Systems and methods for smart cloud caching using edge computing and real-time customer journey insights are disclosed. In one embodiment, a system identifies a trend in communications received by a first edge cloud server, wherein each communication corresponds to a customer journey comprising user action steps performed in a client application. The system determines which user action steps cause API invocations to non-edge cloud servers and generates a sequence of API invocations in an order associated with the sequence of user action steps of the customer journey. The sequence of API invocations may be chained and/or bundled and stored in a cache for replication at edge cloud servers. The system may determine that the trend is pervasive in a geographical location based on satisfaction of a criteria, and replicate the cached sequence of API invocations at a cache of a second edge cloud server that services the geographical location.

Abstract: A method of providing Application Programming Interface (API) functions for registered service endpoints in container environments may include receiving, at an API registry, a request from a second service to use a first service in a container environment, where the API registry may list one or more API functions that call the first service. The method may also include generating, by the API registry, a client library for the second service that includes the one or more API functions to execute calls from the second service to the first service in the container environment.