Abstract: A system may receive a directed acyclic graphic (DAG) for an application. The system may profile the DAG with a plurality of computer resource allocations to generate an end-to-end (E2E) latency model. The system may generate, based on the E2E latency model, an execution plan comprising optimized computer resource allocations and timing information. The system may cause a computing infrastructure to execute a function in a first stage of the DAG model on a first virtual machine right sized according to the execution plan. The system may cause the computing infrastructure to initialize, at a time determined specified by the execution plan, a second virtual machine for a function in a second stage in the DAG model. The system may cause the FaaS infrastructure to execute the function in the second stage on the second virtual machine after completion of the function in the first stage.

Abstract: Provided in the present disclosure are a memory and apparatus for managing a memory snapshot, a device, and a medium. The method includes: when a memory snapshot generation command is acquired, a virtual machine is suspended; a two-level page table of the virtual machine is copied to obtain a first snapshot page table, and a read-only identifier is set for each of page table entries of the two-level page table; and memory pages corresponding to page table entries of the first snapshot page table are acquired by means of the page table entries of the first snapshot page table, a reference count of each of the memory pages is increased, and the virtual machine is restored from a suspended state to a running state.

Abstract: An online system predicts a number of interruption events within a time period and identifies anomalous numbers of interruption events using an interruption prediction model. The online concierge system maintains application state data that describes a state of an application workflow for a client application. The online concierge system identifies interruption events that represent interruptions to the application workflow and logs interruption events in an interruption log, wherein each entry of the interruption log describes an interruption event and its corresponding state. The online concierge system predicts a number of interruption events that will occur within a time period based on an interruption prediction model. The online concierge system computes an actual number of interruption events that occurred during the time period and computes a difference between the actual number and the predicted number.

Abstract: A computer-implemented method, a system, and a computer program product for service delivery are disclosed. In the method, a static analysis can be performed on a plurality of services to be deployed in an environment comprising a plurality of nodes, to determine dependency relationships among the plurality of services. The plurality of services can be deployed in the environment based on the dependency relationships, a predefined priority for each of the plurality of services, and deployment time for each of the plurality of services. Also, the plurality of services can be scheduled into corresponding nodes in the environment.

Abstract: A computer implemented method performs a task for a vehicle. A number of processor units detects a presence of the vehicle on a road. The number of processor units divides the task to be performed for the vehicle into subtasks. The number of processor units assigns the subtasks to Internet of Things nodes on possible paths that the vehicle can travel on the road. The number of processor units processes the subtasks using a set of the Internet of Things nodes on a selected path in the possible paths in real time as the vehicle moves on the selected path to form subtask results. The number of processor units combines the subtask results from the processed subtasks to form a task result for the task.

Abstract: Systems and methods for processing a distributed transaction are provided. A distributed execution statement including a plurality of tasks for executing a query and a table to be modified by the executed query is received. A first task is transmitted to a first backend node and a second task is transmitted to a second backend node. A first confirmation that the first task is executed and a second confirmation that the second task is executed are received. Executing the first task includes making a first modification to the table and a first identification of the first modification, and executing the second task includes making a second modification to the table and a second identification of the second modification. Based at least on each of the first task and the second task being completed, committing the first modification and the second modification to the table.

Abstract: System, methods, apparatuses, and computer program products are disclosed for online incremental autoscaling of a compute cluster. A workload graph is analyzed to determine a resource demand that maximizes concurrency for tasks schedulable on the cluster. An ideal size of the cluster is determined based on the resource demand. A target size of the cluster is determined based on the ideal size of the cluster. When the current size of the cluster is greater than the target size, at least one node of the cluster is designated for downscaling. New tasks are scheduled on nodes of the cluster that are not designated for downscaling. As existing tasks on the node(s) designated for downscaling complete execution, the node(s) designated for downscaling are removed from the cluster.

Abstract: There are provided systems and methods for automated generation of conversational workflows for automation chatbots. A service provider, such as an electronic transaction processor for digital transactions, may provide self-service channels for assistance through chatbot and other automated computing processes. In order to facilitate deployment of new automated skills, a conversational workflow generator may be provided to internal users of the service provider that allows for automated construction of conversational workflows. The generator may process input REST endpoints, request and response parameters, and workflow diagram to generate Java classes and code. The generator may then connect to a conversational AI platform using the code, which may generate the conversational workflow through dialog and a dialog tree that is mapped to the workflow diagram. The conversational workflow may then be implemented in a chatbot to provide automated services through conversational dialog.

Abstract: A task scheduling method and apparatus, a device, and a medium are provided. According to the task scheduling method, a target running category of an application is determined from a plurality of predefined running categories based on a running status of the application, where applications in different running categories in the plurality of predefined running categories have different importance levels. A target classification priority corresponding to the target running category is determined. A target scheduling priority of a target task in the application is determined based on at least the target classification priority. A resource of a processing system is scheduled to the target task based on the target scheduling priority, for running of the target task.

Abstract: Dynamic allocation of resources to application micro-services is performed by receiving, by an agent executed on a server of a cloud computing environment, a request to provision a container for a micro-service of an application, provisioning, by the agent, the container for the micro-service on the worker server with an allocated resource amount, detecting, by the agent, a resource consumption amount of the micro-service, increasing, by the agent in response to the resource consumption amount exceeding an upper resource consumption threshold value, the allocated resource amount by a resource increment, and reducing, by the agent in response to the resource consumption amount exceeding a lower resource consumption threshold value, the allocated resource amount by the resource increment.

Abstract: Providing storage tailored for a storage consuming application, including: identifying, for an application that utilizes storage resources within a cloud-based storage system, one or more storage performance characteristics associated with the application; comparing the storage performance characteristics of the application that were identified with storage performance characteristics of storage resources of one or more cloud-based storage systems; and selecting, based on the comparing, one or more storage resources within the one or more cloud-based storage systems to provide storage services to the application.

Abstract: A system including: one or more processors; a memory storing instructions that, when executed by the one or more processors are configured to cause the system to: scan a plurality of distributed cloud servers to identify a plurality of distributed cloud applications comprising a scheduler configuration file; determine whether each identified distributed cloud application includes a standard or nonstandard environment; shutdown each distributed cloud application of having a standard environment based on a shutdown schedule; reinitialize each distributed cloud application having a standard cloud environment based on the shutdown schedule; create a restore point for each distributed application having a nonstandard environment; convert the nonstandard environments into standard environments; shut down each distributed cloud application having a nonstandard environment, reinitialize each distributed cloud application having a nonstandard environment, and restore the nonstandard cloud environment based on the crea

Abstract: Aspects of the disclosure relate to an operation optimization platform for optimizing multiple operations using a secure allocated resource tracking method. The platform may configure project silos corresponding to an operation. The platform may generate project tags based on the project silos. The platform may execute at least one performance of the operation. The platform may generate a record of applications performing the operation. The platform may receive a request to access the record of applications. The request may include authentication information and a request tag identifying the requested information. The platform may determine whether to grant access to the record. The platform may send a portion of the record based on determining to grant access. The platform may input the record into an operation optimization model trained by the platform to output project management rules. The platform may optimize project management by modifying a project management ruleset.

Abstract: Systems and methods for preserving the quality of service for client applications having workloads for execution by a compute core or a hardware accelerator are described. A method for operating a hardware accelerator configured to process commands submitted by client applications to the hardware accelerator, where a workload can be executed either by a compute core or by the hardware accelerator, is described. The method includes queueing commands for execution of workloads in a first set of command queues and queueing commands for execution of workloads in a second set of command queues. The method includes workload processors executing workloads specified by commands in the first set of command queues and the second set of command queues in an order of execution that is determined based on output of a set of trackers configured to track one or more criteria for a selected set of command queues.

Abstract: An anomaly-aware resource management system (14) in a cloud computing system (10) monitors a telecommunication application executing in the cloud (10), and detects or predicts anomalies based on internal metrics related to the performance and/or resource usage of the application, and external metrics derived from information obtained from systems external to the cloud. The internal and external metrics are combined (210) to generate combined metrics, which are stored. Based on the combined metrics and historical data, anomalies are detected or predicted (212). Based in part on the detected or predicted anomaly, telecommunication traffic is forecast. Short-term resource calculations of application resource allocations are performed based on part of the forecast traffic and a short-term optimization policy. Long-term optimization of application resource allocations is performed based on the short-term calculations and a long-term optimization policy.

Abstract: A method for optimizing computing resource is performed by an electronic device. The method includes: determining a current resource quantity of a first resource based on current load data of the first resource and a target resource quantity of the first resource in connection with performing a computing task; scaling the first resource based on a comparison of the target resource quantity and the current resource quantity of the first resource; and scaling a second resource based on a scheduling state of the scaled first resource, wherein the scheduling state of the first resource refers to a scheduling condition of the first resource on the second resource, including that scheduling has been completed on the second resource and scheduling has not been completed on the second resource.

Abstract: Devices, systems, methods, and processes for sustainably reallocating resources based on within a plurality of computing nodes of a network, such as a managed network are described herein. Each computing node may be configured to transmit infrastructure data to an infrastructure monitor or ecosystem management tool. Additional sustainability data may also be accessed either internally or externally. The infrastructure data and sustainability data may be utilized to generate one or more scores that can be evaluated against each other. These scores may be configured to reflect various conditions or facts about the computing nodes including the overall sustainability. In order to increase sustainability levels, a variety of different resource configurations can be generated and evaluated against each other and the current configuration.

Abstract: This disclosure describes techniques that include eliminating duplicative microservices and/or consolidating microservices, thereby reducing the number of microservices being used, and enabling a more efficient use of resources consumed by microservices.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for dynamic task routing. One of the methods includes: determining, for a task to be performed by a system that includes two or more entity tiers in a tier hierarchy, each tier of which including a multiple entities that can work on tasks and for processing a different complexity of tasks, a complexity of the task; determining whether the complexity of the task satisfies a complexity threshold; and in response to determining that the complexity of the task does not satisfy the complexity threshold, assigning the task to a default tier in the tier hierarchy to enable all of the entities in the default tier to work on different portions of the task.

Abstract: Systems and methods are provided for dynamically adjusting computing resources allocated to tasks within a stream processing application, including initiating monitoring of application-specific characteristics for each task, the characteristics including processor (CPU) usage and processing time, assessing resource allocation needs for each task based on the monitored characteristics to determine discrepancies between current resource allocation and optimal performance requirements, and implementing exploratory resource adjustments by incrementally modifying CPU resources allocated to a subset of tasks and analyzing an impact of the exploratory resource adjustments on task performance metrics. Optimal resource allocations are determined for each task using a regression model that incorporates historical and real-time performance data, and the optimal resource allocations are applied to the tasks to minimize processing time and maximize resource use efficiency.

Abstract: In at least one embodiment, a method can include: establishing a bi-directional synchronous replication configuration for a stretched resource configured across first and second sites; determining a first difference between a first maximum normalized total I/O workload of the first site and a first current normalized total I/O workload of the first site without including read I/O workload of the stretched resource; determining a second difference between a second maximum normalized total I/O workload of the second site and a second current normalized total I/O workload of the second site without including read I/O workload of the stretched resource; and selecting, in accordance with the first difference and the second difference, only one of the first site and the second site to receive and service subsequent read and write I/Os directed to the stretched resource. The configuration can be equidistant with respect to a host and the stretched resource.

Abstract: Systems that analyze the performance of a computing resource based on a usage information timeline are disclosed. A system detects peak activity periods occurring in the usage information of the computer resource and scores the individual peak activity periods. Based on the respective scores, the system identifies an anchor period from the peak activity periods. Using the anchor period, the system aggregates the peak activity periods around the anchor period. The aggregating include incrementally sliding a window through the usage information around the anchor period, wherein increments represent candidate activity period. The system selects a candidate activity period including peak activities periods with the greatest workload. The system allocates capacity to the computer resource based on characteristic of the selected candidate activity period.

Abstract: Apparatus and method for dynamic and persistent data sharing between cloud services. To address limitations in existing systems, resource provisioning and application deployment pipelines are configured with calls to share data using a configuration service. In some implementations, the configuration service includes an API, which is called by one or more stages of the resource provisioning pipeline to write configuration data in key-value pairs (e.g., data related to resource provisioning). One or more stages of the application deployment pipeline are configured with calls to access the configuration data. The stages then use the configuration data for application deployment. The configuration service manages the key-value store using versioning, repeatability, and immutability, to ensures that a configuration generated by any pipeline execution can be automatically re-used by another pipeline, at execution time.

Abstract: A service combination device and a service combination method are provided. The service combination device includes a storage device and a processor. The storage device is configured to store a service combination module, a graph storage module, and a combination optimization module. The processor is coupled to the storage device and configured to receive initial data. The processor executes the service combination module to generate a plurality of target data according to the initial data. The processor executes the graph storage module to search a data graph according to the target data to obtain a plurality of service data combinations. The processor executes the combination optimization module to filter out an optimized service data combination from the plurality of service data combinations. The service combination device and service combination method of the disclosure are adapted to automatically perform combination and optimization of service data.

Abstract: A method and a system for securely applying proprietary software functions of software sources to proprietary data of a population of users are disclosed. The proprietary data of a user is not exposed to software sources, and the proprietary software of a software source is not accessible to users. A collaboration software module, placed in at least one cloud, is configured to establish, and continually update, a data structure holding task permissions from grantors to grantees, a grantor being a software source or a user, and a grantee is also a software source or a user. The collaboration software module of a cloud applies software function of a software source, communicatively coupled to the cloud, to proprietary data of an originating user, communicatively coupled to the same cloud, to produce a requisite result which is only accessible to the originating user or any grantees of the originating user (the grantor).

Abstract: The current document is directed to improved methods and improved cloud-infrastructure deployment systems that efficiently allocate and provision virtual networks during cloud-template-directed cloud-infrastructure deployment. The improved cloud-infrastructure deployment systems provide higher-granularity cloud-template specifications of virtual networks as well as the assignment of a priority to each project with respect to which cloud-infrastructure is deployed. The improved methods provide for concurrent cloud-infrastructure deployments, prioritization of concurrent cloud-infrastructure deployments, and reservation of networks based on network-resource specifications of increased granularity prior to allocation and provisioning of network resources.

Abstract: Disclosed are a SOC-based task scheduling method, a SOC, and an electronic device. The task scheduling method includes: determining a task set to be executed by the SOC and dependency relationships between respective tasks in the task set; determining, based on the task set and the dependency relationships, first scheduling information for a first task executable by a first accelerator in the SOC; transmitting, by a first task scheduler in the SOC, the first scheduling information to a second task scheduler, in the SOC, that is configured to schedule the first accelerator; and scheduling the first accelerator by the second task scheduler based on the first scheduling information, and executing the first task by the first accelerator.

Abstract: A system and method to automate an integration of one or more application program interfaces (APIs) are disclosed. The method includes receiving an API documentation associated with the one or more APIs and extracting one or more parameters from the received API documentation. Further, the method comprises generating one or more integration scripts and one or more templates and identifying one or more data mappings between one or more data formats associated with the one or more APIs. Further, the method includes implementing a data transformation logic for seamless data flow and compatibility between the one or more APIs. The method includes executing a set of test cases and a set of scenarios for identifying one or more issues in the one or more APIs.

Abstract: Systems, apparatuses and methods may provide for technology that detects a tensor operation in an application, wherein the tensor operation has an unspecified tensor input size, determines the input tensor size at runtime, and selects a partition configuration for the tensor operation based at least in part on the input tensor size and one or more runtime conditions. In one example, the technology searches a lookup table for the input tensor size and at least one of the runtime condition(s) to select the partition configuration.

Abstract: An application-programming interface for scraping data across platforms is provided. For example, a computing system use an application programming interface to scrape a first set of data from a first database associated with a first application and a second set of data from a second database associated with a second application. The computing system can determine a portion of the first set of data and the second set of data that is relevant to a user account. The computing system can generate a user score for the user account indicating a financial health progress based on the first set of data and the second set of data. The computing system can output the portion of the first set of data and the second set of data and the user score for display on a graphical user interface associated with the user account.

Abstract: In one embodiment, a device obtains trace data indicative of application programming interface calls made during sessions between clients and an application accessible via a network. The device identifies, based on the trace data, a set of calls among the application programming interface calls that are frequently co-occurring. The device quantifies a latency savings expected to occur were the set of calls to be consolidated into a singular call instead of being made separately. The device provides, to a user interface, a recommendation to consolidate the set of calls into a consolidated call that indicates the latency savings.

Abstract: The present disclosure provides an interaction event response method and apparatus, an electronic device and a storage medium.

Abstract: A system is provided for dynamic, secure, real-time, symmetrical data streaming using an application portal. The system may include a receiver and router, a plurality of short-term servers, a mid-term database, a K-nearest neighbor number identifier, and an application portal. The receiver and router, via the application portal, may receive a request to stream a data element from a source location to an end location. The receiver and router may retrieve the requested data element from one of the short-term servers, the mid-term database, and/or the source location. Once the data element is retrieved, the data element may be indexed by the K-nearest neighbor number identifier. The application portal may tag the data element with an application number. Based on the application number, a short-term server may be selected. The data element may be forwarded to the selected short-term servers. The short-term storage, via the application portal, may stream the data element to the end location.

Abstract: As one aspect of the present disclosure, an electronic device is disclosed. The device includes: a plurality of clusters, wherein each of the plurality of clusters comprises a plurality of cores; mailboxes uniquely corresponding to each of the plurality of clusters; and a system bus, wherein the inter-process communication may be performed between a sending core and a receiving core of the plurality of cores, and if the sending core and the receiving core are included in the same cluster, a mailbox corresponding to the same cluster may be configured to perform the inter-process communication without going through the system bus, and if the sending core and the receiving core are included in different clusters, mailboxes corresponding to each of the different clusters may be configured to perform the inter-process communication via the system bus.

Abstract: Techniques are described herein for a messaging system to allow publishers that are aware of the identities of their respective subscribers to target content at those subscribers directly. This may be accomplished by allowing users and other targets (e.g., groups) to register their identities at particular computing nodes of a system. Then publishers (e.g., applications) may send out messages targeted at particular identities, and a publishing system may forward messages to appropriate nodes based on which identities are registered at those nodes. Legacy applications that are not able to target particular identities may instead connect to application adapters that are configured to learn which identities should be targeted by each application. In addition, anonymized identities may be used for application messages that need to cross between domains having differing security levels.

Abstract: Techniques and solutions are provided for facilitating the use of a standard (or “specific”) object type with different custom (or “arbitrary”) object types. One or more custom object types can be mapped to a standard object type. When a custom object type is mapped to standard object type, and a request is received to generate an instance of the standard object type corresponding to an instance of the custom object type, data sources associated with the custom object type can be identified. All or a portion of fields (or other examples of variables) of the data sources can be mapped to fields of the standard object type. An instance of the standard object type is created and linked to the instance of the custom object type. Data from the data sources can be retrieved and stored in corresponding fields of the instance of the standard object type.

Abstract: A computing platform may train an image comparison model to predict system failure for technology infrastructure based on telemetry state images. The computing platform may receive telemetry data for the plurality of computing systems over a period of time. The computing platform may generate, based on the telemetry data and for each parameter represented in the telemetry data, a telemetry state image, where each telemetry state image plots the period of time on an x axis, plots the plurality of computing systems on a y axis, and is specific to a respective parameter represented in the telemetry data. The computing platform may classify, using the image comparison model and using parallel processing, the telemetry state images. The computing platform may identify a likelihood of failure for the technology infrastructure, and may cause modification of operations at one or more of the plurality of computing systems to prevent a predicted failure.

Abstract: A computer-based system and method is disclosed for monitoring, detecting and generating a corrective action in response to receiving real time information from a monitored data center device. The system incorporates a principal control software (PCS) subsystem stored in a memory of a computer and accessible by a processor of the computer. The computer monitors operation of the data center device. The PCS subsystem incorporates at least one of stored data, stored algorithms, stored rules or stored tables for analyzing operating information pertaining to the data center device. An agent subsystem is stored in a memory of the data center device. The PCS subsystem and the agent subsystem cooperate to control the data center device in real time to address real time operating conditions which might negatively impact operation of the data center device.

Abstract: An information processing device according to one aspect of the present disclosure is capable of safely separating a communication path from a communication port, said information processing device comprising: a communication port that is for connecting a communication path with a communication device; a display unit that displays the state of the communication port; a communication control unit that controls communication with the communication device; a header extraction unit that extracts prescribed header information of communication data; a correspondence storage unit that stores a correspondence between the header information and a risk grade which is preset as a rating indicative of the probability that failure will occur as a result of separation of the communication path from the communication port; a risk determination unit that determines the current risk grade of the communication port on the basis of the correspondence and of the header information extracted by the header extraction unit; and a d

Abstract: Apparatuses, systems, and techniques to predict a probability of an error or anomay in processing units, such as those of a data center. In at least one embodiment, the probability of an error occuring in a proccessing unit is identified using multiple trained machine learning models, in which the trained machine learning models each outputs, for example, the probability of an error occuring within a different predetermined time period.

Abstract: An operation method of a node device connected to a non-random consensus body proof-based blockchain network according an embodiment of the present disclosure comprises acquiring new block data propagated through the blockchain network; and performing a neural consensus body proof-based block generation process corresponding to the new block data according to a preset condition, wherein the neural consensus body proof-based block generation process includes extracting validity verification data from the new block data; acquiring neural consensus body designation information of a next block generated on the basis of a random consensus body proof process according to a verification process of the validity verification data; and generating validity verification data of the next block by selectively driving a consensus body node function unit on the basis of the neural ensus body designation information of the next block.

Abstract: An example methodology may be executed by a sidecar proxy attached to a microservice. The method includes intercepting an outgoing request message from the microservice, saving the request message to a first database, and initiating a timer specifying a predetermined time for retrying the request message. The method also includes, responsive to a determination that the timer expired, incrementing a current attempt count for the request message, wherein the current attempt count being a count of retries of the request message, and responsive to a determination that the current attempt exceeds a maximum retry attempts permitted for the request message, saving the request message to a second database. The method also includes, responsive to a determination that the current attempt count does not exceed the maximum retry attempts permitted, retrieving the request message from the first database, retrying the request message, and initiating the timer for the request message.

Abstract: A method includes: receiving a message, via a communication link, including sensor data in a data stream from a sensor device and first reference data based on a deterministic function and a seed value; extracting the first reference data from the message; generating second reference data based on the deterministic function and the seed value; calculating a first quantity of bit errors in the first reference data based on the second reference data; calculating a bit error rate of the communication link based on the first quantity of bit errors; in response to the bit error rate exceeding a bit error rate threshold for the data stream, generating a second message representing a fault; and transmitting the second message to a second device.

Abstract: An information processing system includes a first apparatus, in which the first apparatus includes a first processor, and the first processor is configured to acquire second logs that are recordings related to an operation of a second apparatus communicating with the first apparatus from the second apparatus, and in a case where the second logs are not acquirable, transmit first logs that are recordings related to an operation of the first apparatus to the second apparatus.

Abstract: A log management device includes a memory, and a processor coupled to the memory and configured to obtain observation information group including observation information that includes a request ID same each other that identifies a series of processing executed in response to a request among pieces of observation information related to processing executed in each microservice, the pieces of the observation information being collected from each microservice of a plurality of the microservices, search the obtained observation information group for error information that indicates occurrence of an error and warning information that indicates occurrence of an event to be a cause of the error, and store at least partial information of the observation information group in a database that serves as a storage location according to a search result of the error information and the warning information.

Abstract: The disclosure concerns the time-based correlation of time series for the root cause analysis of application monitoring data, observability data, and data observability data in the field of application monitoring and observability. The object of the disclosure is to find at least one candidate time series that has a high chance/probability for causing an event in a reference time series. The method shall be time-based and not frequency based. The method includes: constructing a simplified reference time series retaining changes in the reference time series and setting other points to zero; constructing a simplified candidate time series retaining changes in the candidate time series and setting other points to zero; calculating a similarity metric between the simplified candidate time series and the simplified reference time series; and reporting an occurrence of a computing event in response to the similarity metric exceeding a threshold value.

Abstract: In order to enable rapid identification of a failure mode, the present disclosure proposes an information processing device comprising: an extended FMEA database containing, on a per-failure effect basis, information on check items, information on the degree of association between the check items and the failure effect, and information on previous events of the check items; and a processor that obtains information on a check item confirmed as an event and that identifies a failure mode corresponding to a failure effect on the basis of the obtained check item, wherein the processor executes a first process for extracting information on the failure effect related to the check item from the extended FMEA database, a second process for calculating a score value for the failure effect extracted in the first process by referring to information on the degree of association between the check item and the failure effect, and a third process for presenting, on the basis of the score value, the failure mode correspondin

Abstract: A method includes receiving, from a first container of a plurality of virtualized computing entities, a request to diagnose a first network connectivity malfunction associated with the first container. The method further includes identifying a first package of the plurality of packages based on data associated with the first container satisfying at least one criterion of the plurality of criteria.

Abstract: A method of initiating actions based on analyzing automated fix actions in a telecommunication network management system, the method comprising obtaining, by an incident management application executing on a computer system, prior incident reports associated with a plurality of historical incidents from a database, wherein the prior incident reports comprise one or more recommended corrective actions taken or to be taken to resolve the historical incidents; evaluating, by the incident management application, the prior incident reports to determine a severity level of the prior incident reports and/or an effectiveness value of the one or more recommended corrective actions; prioritizing actions to be taken automatically or by NOC personnel based on the severity level and/or the effectiveness value; and initiating a corrective action to be taken automatically or by the NOC personnel to resolve an active incident report based on the prioritization.

Abstract: Aspects of the disclosed technology include techniques and mechanisms for correcting uncorrectable memory errors in DIMMs using erasure code. An uncorrectable error may be detected as a result of a read transaction on a memory address within a DRAM device on a DIMM. The data stored in the memory address may be inverted to produce reference data and the reference data may be written back to the memory address. A subsequent read transaction may be executed on the memory address, and the data read from the memory address may be compared to the reference data written to the memory address. Based on determining the data read from the memory address is different from the reference data written to the memory address, the data within the memory address may be corrected using erasure code capability and the corrected data may be written back to the memory address.