Abstract: A system for orchestrating deployment of network services is described. The system comprises a plurality of network services, an observability framework and an orchestration agent. The observability framework receives monitoring data corresponding to at least one network function of a network service, identifies data corresponding to the status and/or performance of the network service, aggregates the identified data into genericized metrics for the network service and forwards the genericized metrics to the orchestration agent. The orchestration agent uses the genericized metrics to trigger actions.

Abstract: A system and method for adjusting a device behavior with respect to a privacy class. The method includes collecting sensory inputs from a plurality of sensors; analyzing the sensory inputs using at least the sensory inputs and at least a privacy class of a plurality of privacy classes; determining a privacy rule based on the analysis of the sensory inputs; and, initiating an engagement of the user based on the determined privacy rule.

Abstract: Systems and methods for generating strings based on a seed string are disclosed. Machine learning models are trained using domain-specific training data. Random walk models are derived from the trained machine learning models. A seed string is input into each of the random walk models, and each of the random walk models iteratively generate one or more next characters for the seed string to generate at least one term from each of the random walk models. A predicted class for the at least one term generated by each of the random walk models can be determined, and a ranked order for the at least one term generated by each of the random walk models with the predicted classes can be output to a graphical user interface.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying a data center infrastructure utilization unit associated with an information technology (IT) environment, the IT environment including a data center asset; analyzing the IT environment based upon the data center infrastructure utilization unit; and, presenting a data center infrastructure utilization quantification based upon the analyzing.

Abstract: A method for game allocation in a game cloud system. The method including tracking state of a plurality of compute nodes of a data center, wherein the plurality of compute nodes is distributed across a plurality of rack assemblies. The method including tracking a plurality of popularity valuations of a plurality of video games. The method including determining a distribution of one or more video games from the plurality of video games across the plurality of rack assemblies based on the plurality of popularity valuations of the plurality of video games. The method including storing the one or more video games from the plurality of video games across the plurality of rack assemblies based on the distribution of the one or more video game that is determined.

Abstract: Embodiments described include systems and methods of determining one or more links of one or more network applications to access to perform a task is provided. The method can include receiving, by a server, a request from a client application on a client device. The request can identify a name of a task to be performed. The client application can include an embedded browser for accessing one or more network applications. The method can include determining, by the server, one or more links of the one or more network applications hosted on one or more third party servers that are to be used to perform a task identified by the name of the task. The method can include causing, responsive to the request and to perform the task, the embedded browser of the client application on the client device to access the one or more links of the one or more network applications hosted on the one or more third party servers.

Abstract: This application describes systems and methods for locating, securing, accessing and utilizing a discrete enclosure or workspace. The discrete enclosure or workspace may be located in a public, private or semi-private setting and may comprise a combination of working platforms or surfaces, seats, desks and other apparatus, as well as computer hardware and software. Systems may comprise natural language processing, artificial intelligence, machine learning and other adaptive learning capabilities to enhance the use of the discrete workspace. The workspace may be dimensioned to be used for a wide variety of activities by one or more users.

Abstract: The present application discloses a QoE-based adaptive acquisition and transmission method for VR video, comprising the following steps: 1, capturing, by respective cameras in a VR video acquisition system, original videos with the same bit rate level, and compressing each original video with different bit rate levels; 2, selecting, by a server, a bit rate level for each original video for transmission, and synthesizing all of the transmitted original videos into a complete VR video; 3, performing, by the server, a segmentation process on the synthesized VR video, and compressing each video block into different quality levels; and 4, selecting, by the server, a quality level and an MCS scheme for each video block according to real-time viewing angle information of users and downlink channel bandwidth information in a feedback channel, and transmitting each video block to a client.

Abstract: Conversation slipstream propagation can include using machine learning to construct a conversations graph representing conversations conducted over an electronic communications network by a plurality of participants and collected from one or more messaging platforms. A conversation slipstream comprising one or more communications extracted from the conversations can be generated in response to receiving a secondary communication over the electronic communications network. Each of the one or more communications extracted is represented by a sub-graph of the conversations graph, each sub-graph corresponding to a graph of the secondary communication. The conversation slipstream can be presented to at least one participant to the secondary communication.

Abstract: An apparatus and/or method discloses an automatic call-to-conference elevation (“ACE”) capable of facilitating a transition from a phone call to a video conference. An ACE process, in one embodiment, is able to activate an ACE application to elevate user devices from participating in an audio call to a video conference based on a conference selection selected by a meeting initiator, host, or attendee. After identifying the capabilities, attributes, and/or functionalities associated with the user devices in accordance with activation of ACE, a communication network coupling the user devices as meeting attendees is established for facilitating the video conference based on identified capabilities, attributes, and/or functionalities of the user devices. In one aspect, the process is capable of transitioning connections of the user devices from an audio call to a video conference.

Abstract: Aspects of the disclosure relate to enhanced tracking of data over an asset lifecycle. A computing platform may receive, via the communication interface, user account information as part of an onboarding process in which a first user account is created. The computing platform may then compute, using a cryptographic hash function, a first hash value associated with the first user account, wherein the first hash value provides a trackable, immutable code corresponding to the first user account. Thereafter, the computing platform may monitor one or more events in a transaction activity pool. Upon detecting a new activity associated with the first user account in the transaction activity pool, the computing platform may append the new activity to a record in a trackable log linked to the first hash value.

Abstract: Method and system for capturing summaries of data flows in an electronic, packet-switched communication network, the method comprising: receiving, from a node of the communication network, packet flow data; obtaining a subset of the packet flow parameters (IP src, IP dst, port src, port dst, protocol), based on the packet flow data; obtaining a packet flow statistic, based on the packet flow data; updating a collection of stored packet flow summaries, based on a subset of the packet flow parameters and the packet flow statistic. The stored packet flow summaries are arranged as nodes in a tree data structure.

Abstract: In the presence of a network fault condition preventing communication between a communication device and a network device of a first network, a method includes receiving a heartbeat request from the communication device requesting permission for the communication device to perform a device operation. The method further includes obtaining device state data associated with the communication device and determining whether the communication device is permitted to perform the device operation based on the device state data associated with the communication device. When the communication device is permitted to perform the device operation, the method also includes transmitting a heartbeat confirmation signal to the communication device. The heartbeat confirmation signal permits the communication device to perform the device operation.

Abstract: In some examples, migration context and flow graph based migration control may include ascertaining an application that is to be migrated from a physical environment to a cloud environment, and determining a migration issue associated with the migration of the application. Migration context and flow graph based migration control may further include identifying, from a historical issue database, a plurality of historical issues, determining, for the migration issue and the plurality of historical issues, unified proximities, sorting, based on the determined unified proximities, the historical issues, selecting, from the sorted historical issues, a topmost historical issue, and determining, from the topmost historical issue, a resolution associated with the topmost historical issue.

Abstract: Disclosed in embodiments of the present disclosure are an anomaly detection method and apparatus. The method includes: detecting first feature data of collected first data using each anomaly detection algorithm, respectively, where N is an integer greater than or equal to 1; in response to first detection results corresponding to one or more anomaly detection algorithms being abnormal, performing reliability verification on the first feature data of the first data to obtain first verification results; and determining second detection results according to the first verification results and according to whether reliability of the one or more anomaly detection algorithms is greater than or equal to a first preset threshold.

Abstract: Techniques for managing a cross-region directory service are described. A method of managing a cross-region directory service may include establishing a cross region peer connection between a first directory virtual network of a directory service in a first region of a provider network and a second directory virtual network of the directory service in a second region of the provider network, the second directory virtual network associated with a pre-allocated classless interdomain routing (CIDR) range, replicating, by a cross-region replicator, data or metadata associated with the directory service from the first region to the second region, and orchestrating one or more updates to the directory service in the second region based at least on the data or metadata replicated to the second region.

Abstract: A programmable switch includes ports, and circuitry to receive cache messages for a distributed cache from client devices. The cache messages are queued for sending to memory devices from the ports. Queue occupancy information is generated and sent to a controller that determines, based at least in part on the queue occupancy information, at least one of a cache message transmission rate for a client device, and one or more weights for the queues used by the programmable switch. In another aspect, the programmable switch extracts cache request information from a cache message. The cache request information indicates a cache usage and is sent to the controller, which determines, based at least in part on the extracted cache request information, at least one of a cache message transmission rate for a client device, and one or more weights for queues used in determining an order for sending cache messages.

Abstract: An example device includes processing circuitry and a memory. The memory includes instructions that cause the device to perform various functions. The functions include receiving datastreams from a plurality of sensors of a high performance computing system, classifying each datastream of the each sensor to one of a plurality of datastream models, selecting an anomaly detection algorithm from a plurality of anomaly detection algorithms for each datastream, determining parameters of the each anomaly detection algorithm, determining an anomaly threshold for each datastream, and generating an indication that the sensor associated with the datastream is acting anomalously.

Abstract: Some embodiments provide a novel method for monitoring health of an SMN that includes multiple networking components. A health analytics manager identifies a set of one or more metrics associated with the network components of the SMN. The health analytics manager uses the set of metrics to compute a first health score for the SMN. Then, the health analytics manager presents the first health score in a UI along with (1) data regarding how the first health score was computed, and (2) a set of one or more parameters for a user to modify how the health for the SMN is computed. After receiving from the user one or more modifications to at least one of the parameters, the health analytics manager computes a second health score for the SMN based on the modified set of parameters.

Abstract: A method, system and computer-readable storage medium for performing a cognitive information processing operation. The cognitive information processing operation includes: receiving data from a plurality of data sources; processing the data from the plurality of data sources to provide cognitively processed insights via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function; performing an explainability with recourse operation, the explainability with recourse operation providing an assurance explanation regarding the cognitive computing function; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights.