A system and method for distributing resources in a computing system is disclosed. The resources include hardware components in a hardware pool, a management infrastructure, and an application. A telemetry system is coupled to the resources to collect operational data from the operation of the resources. A data analytics system is coupled to the telemetry subsystem to predict a future operational data value based on the collected operational data. A policy engine is coupled to the data analytics system to determine a configuration to allocate the resources based on the future operational data value.

Apparatuses, methods, and systems for closing open loops of a wireless mesh network are disclosed. One method includes determining a representation of a wireless mesh network including nodes, and wireless links between the nodes, identifying end-site nodes of the wireless mesh network, determining open loops of the wireless mesh network that include the identified end-site nodes, generating a list of potential nodes for closing each of the open loops with the identified end-site node, testing one or more of the potential nodes, comprising testing performance of a wireless connection between each end-site node and the one or more potential nodes, wherein the performance includes a number of wireless hops around each closed loop formed including the end-site node and each potential node, selecting a closing node based on the testing, and providing a wireless link connection between one or more of the end-site nodes and the closing node.

A network device includes processing circuitry and a plurality of ports. The ports connect to a communication network. The processing circuitry is configured to receive, via an input port, data packets and probe packets that are addressed to a common output port, to store the data packets in a first queue and the probe packets in a second queue, both the first queue and the second queue are served by the output port, to produce telemetry data indicative of a state of the network device, based on a processing path that the data packets traverse within the network device, to schedule transmission of the data packets from the first queue at a first priority, and schedule transmission of the probe packets from the second queue at a second priority higher than the first priority, and to modify the scheduled probe packets so as to carry the telemetry data.

Some embodiments of the invention provide a method for evaluating multiple candidate resource elements associated with different resource element types for deploying one tenant deployable element in a single public cloud. The method deploys a set of one or more agents in the public cloud to collect metrics evaluating performance of each of the multiple candidate resource elements. The method communicates with the set of deployed agents to collect metrics to quantify performance of each candidate resource element. The method aggregates the collected metrics in order to generate a report that quantifies performance of each type of candidate resource element for deploying the tenant deployable element in the single public cloud.

Some embodiments of the invention provide a method of deploying first and second tenant deployable elements to a set of one or more public clouds, the first and second tenant deployable elements being different types of elements. The method identifies first and second sets of performance metrics respectively for first and second sets of candidate resource elements to use to deploy the first and second tenant deployable elements, the two sets of performance metrics being different sets of metrics because the first and second tenant deployable elements being different types of elements, the first set of performance metrics having at least one metric that is not included in the second set of performance metrics. The method uses the different sets of metrics evaluate the first and second sets of candidate resource elements, in order to select one of the first set of candidate resource elements for the first tenant deployable element and to select one of the second set of candidate resource elements for the second tenant deployable element. The method deploys the first and second tenant deployable elements in the set of PCDs by using the selected candidate resource elements.

A computer-implemented method and apparatus for monitoring the performance of a plurality of network nodes interconnected in a multi-hop arrangement using at least one node performance assessment threshold is described. A plurality of data sets is obtained. A data set comprises a respective value of a performance metric for each of the plurality of network nodes. Each of the plurality of data sets is classified as normal or abnormal by comparing the respective values of the performance metric of each of the plurality of network nodes to a corresponding normality threshold, thus providing a plurality of classified data sets. The plurality of classified data sets is processed using a machine-learning algorithm in order to derive, for at least one network node of the plurality of network nodes, a node performance assessment threshold indicative of a value of the performance metric of the at least one node at which the plurality of network nodes has a predetermined likelihood of being classified as normal.

[Object] To make it possible to perform measurement reporting suitable for an environment in which the on/off state of a cell is switched. [Solution] There is provided a device including: an acquiring unit configured to acquire information indicating that a serving cell is scheduled to be in an off state; and a control unit configured to perform measurement reporting before the serving cell is in the off state.

A packet flow monitoring device, a packet data extraction device, an extraction data aggregation device, and a program for efficiently and highly accurately monitoring a packet flow in a video or audio communication system constructed by an Ethernet (registered trademark) frame or IP packet network. This packet flow monitoring device includes: a packet data extraction device that replicates all passing packets that pass through one or a plurality of specific network switches on the network and extracts and aggregates some predetermined pieces of information in the replicated passing packets to form and output an extraction data report packet; and an extraction data aggregation device that receives the extraction data report packet, analyzes the extraction data report packet so as to aggregate the predetermined pieces of information in the replicated passing packets included in the extraction data report packet for each packet flow, and records the aggregated information as aggregation data.

A packet flow monitoring device, a packet data extraction device, an extraction data aggregation device, and a program for efficiently and highly accurately monitoring a packet flow in a video or audio communication system constructed by an Ethernet (registered trademark) frame or IP packet network. This packet flow monitoring device includes: a packet data extraction device that replicates all passing packets that pass through one or a plurality of specific network switches on the network and extracts and aggregates some predetermined pieces of information in the replicated passing packets to form and output an extraction data report packet; and an extraction data aggregation device that receives the extraction data report packet, analyzes the extraction data report packet so as to aggregate the predetermined pieces of information in the replicated passing packets included in the extraction data report packet for each packet flow, and records the aggregated information as aggregation data.

Described herein are systems and methods for end user connection load balancing amongst multiple on-premise connector proxies deployed across geographic locations and reducing connection setup latency without using a shared or distributed database. The system can load balance connections deterministically amongst the on-premise connector proxies using load statistics. The system utilizes an intelligent DNS service that can use network experience data, service availability, and application metrics to provide sophisticated traffic management via DNS or API-based decisions. The system can include a domain name system (DNS) resolver configured to receive metrics for a first connector and a second connector of a data center of an entity, receive a DNS request including an entity identifier and a data center identifier; and transmit a response to the DNS request identifying a server selected based on the metrics identified using the entity identifier and the data center identifier.