Abstract: A device configuration management apparatus includes a logical node information storage storing logical node information about a logical node that can be associated with a particular device and a particular location, the logical node information including for each of logical nodes a device ID for identifying the particular device and location information which is information for identifying the location, a network information storage storing network information as a set of information about an edge connecting two logical nodes, and a node update processer configured to perform processing for updating at least one of the device ID and the location information with regard to the particular logical node in the logical node information stored in the logical node information storage.

Abstract: In one embodiment, a method for managing data includes collecting workload information for a data storage device in a data storage system over a period of time. A peak workload of the data storage device for the period of time is determined. A maximum workload threshold for the data storage device in the data storage system over the period of time is also determined. Movement of additional workload to the device in the data storage system is prevented during a subsequent period of time when the data storage device is predicted to be at about the peak workload for the data storage device in response to a determination that adding the additional workload would cause the workload of the device to exceed the maximum workload threshold.

Abstract: Clustered containerized applications are implemented with scalable provisioning. Methods include receiving a data storage request to store one or more data values in a storage volume implemented across a storage node cluster, the storage node cluster including a plurality of storage nodes including one or more storage devices having storage space allocated for storing data associated with the storage volume. Methods may further include identifying a cluster hierarchy associated with the storage node cluster, the cluster hierarchy identifying storage characteristics of the plurality of storage nodes, the cluster hierarchy also identifying physical location information for the plurality of storage nodes, the physical location information indicating node-to-node proximity on a network graph.

Abstract: A method is applied to a server and for providing a link priority between the server and a storage device. The server calculates an average latency of each of a plurality of links between the server and the storage device; then determines a latency interval to which the average latency of each link belongs; and determines a priority of each link based on a priority of the latency interval to which the average latency of each link belongs. At least two consecutive latency intervals are preset in the server, each latency interval represents a range of an average latency, and a priority is set for each latency interval. For latency intervals of adjacent priorities, a minimum latency value of a latency interval of a lower priority is greater than a maximum latency value of a latency interval of a higher priority.

Abstract: Methods, apparatus, systems and articles of manufacture to dynamically control devices based on distributed data are disclosed. An example apparatus includes a comparator to compare a first measurement measured by a first peer device to a second measurement, the second measurement being measured locally by the apparatus; and an operation adjuster to, when the comparison satisfies a threshold, adjust a measurement protocol of the first peer device.

Abstract: [Subject] Development costs of operation automation are reduced.

Abstract: An embodiment includes determining, based on historical data associated with a specific task, a baseline bandwidth recommendation for completing the specific task. The embodiment assigns, for a first time period, the specific task to a first computing device on a network. The embodiment allocates, for the first time period based on the baseline bandwidth recommendation, a first baseline bandwidth to the first computing device. The embodiment allocates, for the first time period, a portion of a shared buffer bandwidth as a first buffer bandwidth to the first computing device based on a weight value assigned to the specific task. The first buffer bandwidth combines with the first baseline bandwidth as a first total bandwidth for the specific task. The embodiment throttles, during the first time period, data packets associated with the specific task based on the first total bandwidth for the specific task.

Abstract: The adaptive learning systems described herein may include machine-learning engines, product configuration engines, and/or various other components configured to improve the efficiency of processing transactions. The systems described herein may detect and/or predict declined transactions, token deficiencies, insufficient system capacities, and/or other system anomalies. As such, the system may perform operations to generate additional tokens associated with assets, provision various bin ranges, and/or share reserve capacities, and/or other operations. Thus, the system may improve system efficiencies, ensure reliability and operability across the system, and optimize the operations for successfully processing transactions.

Abstract: A method and apparatus for performing automated collaboration is provided. Automated collaboration may include identifying a first document generated by a first user using a networked application, identifying a collaborative similarity between the first document and a second document generated by a second user, generating a collaboration suggestion based on the collaborative similarity, transmitting the collaboration suggestion to the first user via the networked application, and initiating a collaboration session between the first user and the second user. The collaborative similarity may be identified based on a similarity between content of the first document and content of the second document, based on a similarity between information associated with the first document and information associated with the second document, or based on a combination of content and associated information similarities.

Abstract: Inquiry data from one or more sources (e.g., client devices) may be analyzed to determine if key terms, date terms, and locality terms are indicative of an event to occur at a locality during one or more dates. Events that are detected may be communicated (e.g., via an electronic message(s)). An owner of a property may receive the electronic message(s) that are communicated for detected events and the owner may act to garner interest in stays at their property. Travelers searching for a property to stay at during the event may receive the electronic message(s) in the form of an offer (e.g., an email, a text message, a Tweet, a newsletter, etc.). The inquiry data may be received in real time and/or may be accessed from a data store. The Inquiry data may be curated to remove non-essential information and/or to include edited key terms, date terms, and locality terms.

Abstract: Described herein are systems, methods, and software to enhance incident response for an information technology (IT) environment. In one implementation, an incident service identifies an incident in the IT environment and determines a correlation between the incident and other incidents in the IT environment. Once correlated, the incident service aggregates incident data of the incident with incident data of the other incidents and generates a summary using the aggregated incident data.

Abstract: Disclosed aspects relate to asset management with respect to a shared pool of configurable computing resources. With respect to a set of assets which share a resource on a first compute node, a set of asset weight values is identified. The set of asset weight values indicates a set of utilization shares of the resource by the set of assets. A set of asset priority values is identified with respect to the set of assets on the first compute node. The set of asset priority values indicates a relative status arrangement for the set of assets. Using the set of asset weight values and the set of asset priority values, a determination is made to migrate a first asset of the set of assets from the first compute node to a second compute node. Accordingly, the first asset of the set of assets is migrated from the first compute node to the second compute node.

Abstract: A network device in a Multi-Access Edge Computing (MEC) cluster may receive a request for a service that requires use of a resource of a first type; and determine whether a resource utilization level, associated with the resource, at a MEC device in the MEC cluster exceeds a threshold. When the network device determines that the resource utilization level exceeds the threshold, the network device may determine whether a candidate MEC device is available within the MEC cluster to provide a resource of the first type; and enable the service to be provided.

Abstract: A computer-implemented method is provided for use with a reconfigurable computational device having a collection of computing nodes arranged in a mesh of N×M×Z topology, the computing nodes including computational hardware, wherein Z<N and Z<M, and wherein N and M are at least equal to 4. The method includes using the computational device to perform computations characterized by (i) an initial system I/O bandwidth and (ii) an initial system node-to-node latency; reconfiguring the device into a mesh of N?×M?×Z? topology, wherein at least two of N, M, and Z values are different from their corresponding N?, M?, and Z? values, and wherein N×M×Z is equal to N?×M?×Z?; and using the device to perform computations characterized by (i) a modified system I/O bandwidth and (ii) a modified system node-to-node latency.

Abstract: Reducing buffer space that is reserved when a VM attempts to write to disk. A shared memory maintains stored information available to all VM's, allowing translation between accessible to RSD's, independent of how that VM's storage is divided into VSD's. When a guest OS writes to a VSD, an “extent”, designating a location in the shared memory and amount of data to be transferred, which can be passed directly from the guest OS, through each element involved in translating the operation into one or more operations on RSD's, keeping copying to a minimum. No substantial changes need be made to the guest OS.

Abstract: Interactive virtual conversation interfaces are provided herein. An example method includes receiving a digital document that has textual information, utilizing one or more forms natural language processing of the digital document, based on the nature of the digital document, to ascertain a hierarchical structure of the plain textual information, and determine topics within the plain textual information, generating a tree structure based on relationships between topics of the plain textual information, wherein the topics are arranged into the tree structure, and generating a virtual conversation interface that receives queries and presents responses to the queries using the tree structure.

Abstract: In accordance with one embodiment of the invention, a method coordinates experiences of a realm for a group of users, including at least an administrative user and at least one participating user. The method includes transmitting, from the server to an administrative user, a session identifier associated with the realm. The method also includes receiving, by the server, a user acceptance to join a session using the session identifier so that the at least one participating user can experience the realm. In response to receiving the acceptance, the method also includes transmitting to a computing device of the participating user, by the server, executable code including data describing a series of locations in the realm. The series of locations comprises at least a first location and a second location, and the first location is associated with a first panoramic image and the second location is associated with a second panoramic image.

Abstract: The present disclosure relates to a method and a device for securely sending a message. The method for securely sending a message includes: receiving a new message; determining the user group to which the new message is to be sent according to the identification of the user group; and sending the new message to the group members in the user group except the target group member after determining that the new message is related to a shielded user of the target group member.

Abstract: Techniques are described for identifying “out-of-band” modifications to an interrelated set of computing resources, also referred to herein as a computing resource stack, that was provisioned at a service provider network using an infrastructure modeling service. An infrastructure modeling service generally allows users to describe a computing resource stack in a text file or other type of descriptive representation, referred to herein as an infrastructure template, and to automatically provision computing resource stacks defined in templates at a service provider network. Users may at times make so-called out-of-band modifications to one or more computing resources of a provisioned computing resource stack, either inadvertently or in response to time-sensitive demands, where an out-of-band modification is made outside of the infrastructure modeling service.

Abstract: A data analysis device executes: acquiring time-series data including data of multiple items from an analysis target system; extracting data of at least, one first item from the time series data; calculating a feature of a temporal change of the data of the first item; extracting data of at least one second item from the time series data; calculating a feature of at least one of a relevance between the data of the first item and the data of the second item and a relevance between the data of the multiple second items; determining a model corresponding to the analysis target system on the basis of the feature of the temporal change and the change of the relevance; and setting the parameter in the analysis target system by using the parameter setting configuration of the model.