An information acquisition method and apparatus, a storage medium, and an electronic apparatus are provided. The method includes: a first network element obtains first acquisition information indication; the first network element determines acquisition indication information corresponding to the first network element according to the first acquisition information indication; and the first network element performs information acquisition and processing according to the acquisition indication information corresponding to the first network element. According to the solution, during the transmission of an information stream, the quality of service of the information stream is guaranteed on a transmission layer and a processing layer by virtue of the acquisition information indication, thereby solving the problems in the related art that an information transmission process is complex and it is difficult to guarantee latency and service quality, and achieving the effects that an information range that can be sensed in the communication system is expanded, the capability of information sensing in the communication system is enhanced, the implementation during the information transmission is simple, the quality of service can be highly guaranteed, and the solution is applicable to multiple kinds of network architectures.

Technologies for deploying virtual machines (VMs) in a virtual network function (VNF) infrastructure include a compute device configured to collect a plurality of performance metrics based on a set of key performance indicators, determine a key performance indicator value for each of the set of key performance indicators based on the collected plurality of performance metrics, and determine a service quality index for a virtual machine (VM) instance of a plurality of VM instances managed by the compute as a function each key performance indicator value. Additionally, the compute device is configured to determine whether the determined service quality index is acceptable and perform, in response to a determination that the determined service quality index is not acceptable, an optimization action to ensure the VM instance is deployed on an acceptable host of the compute device. Other embodiments are described herein.

Described are examples for providing service level monitoring for a network hosting applications as a cloud service. A service level monitoring device may receive end-to-end measurements of service usage collected at user devices for a plurality of applications hosted as a cloud services. The service level monitoring device may determine degraded applications of the plurality of applications based on anomalies in the measurements. The service level monitoring device may determine a service level metric based on an aggregation of the degraded applications. In some examples, the service level monitoring device may detect a network outage affecting the service.

The Distributed Software Defined Network (dSDN) disclosed herein is an end-to-end architecture that enables secure and flexible programmability across a network with full lifecycle management of services and infrastructure applications (fxDeviceApp). The dSDN also harmonizes application deployment across the network independent of the hardware vendor. As a result, the dSDN simplifies the network deployment lifecycle from concept to design to implementation to decommissioning.

Technologies for allocating resources of managed nodes to workloads to balance multiple resource allocation objectives include an orchestrator server to receive resource allocation objective data indicative of multiple resource allocation objectives to be satisfied. The orchestrator server is additionally to determine an initial assignment of a set of workloads among the managed nodes and receive telemetry data from the managed nodes. The orchestrator server is further to determine, as a function of the telemetry data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing an achievement of another of the resource allocation objectives, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed. Other embodiments are also described and claimed.

A distributed network performance management system and method that distributes a large portion of the network performance management to wireless client devices connected to the network. Rather than rely on a central server to perform the bulk of network performance management, a distributed network performance management system offloads much of the work of service quality testing, reporting, and troubleshooting to wireless client devices that are connected to the network. It utilizes spare computing power and storage space on the wireless client devices to reduce the cloud operation costs of the system including such things as bandwidth requirements, data storage requirements, and data processing requirements.

A distributed network performance management system and method that distributes a large portion of the network performance management to wireless client devices connected to the network. Rather than rely on a central server to perform the bulk of network performance management, a distributed network performance management system offloads much of the work of service quality testing, reporting, and troubleshooting to wireless client devices that are connected to the network. It utilizes spare computing power and storage space on the wireless client devices to reduce the cloud operation costs of the system including such things as bandwidth requirements, data storage requirements, and data processing requirements.

The subject matter described herein provides systems and techniques for a network planning and optimization tool that may allow for network capacity planning using key network failures for an arbitrary pair of network topology and demands. Performing network capacity planning with key network failures, instead of using other techniques, may avoid over-building the topology of a network. In particular, key network failures may be generated from the probabilistic failures, and the impact of these failures on a network may be computed. Expected flow availability SLO or a function thereof may be computed, using this information, and used by the tool to design a robust network. With an embedded flow availability calculation and updated risk framework, the capacitated cross-layer network topologies output by the tool may meet network demands/flows with their respective SLO type at the lowest cost.

A method and system for outcome-based workload configurations for IT environments. Existing solutions directed to implementing multi-tier configurations on bare-metal IT infrastructure tend to require specialized tools and skills on a tier-by-tier basis. A more unified approach, where a single or singleton configuration that defines and implements the desired state (or outcome) of one or more tiers, is sought and thus proposed. Within this disclosure, implementation of workload deployment policies, is emphasized.

A mechanism is disclosed operating a transport network function (TNF) as part of a fifth generation wireless (5G) virtualized control plane. The mechanism includes receiving a request to compute a traffic engineering (TE) path in a 5G transport network for a packet data unit (PDU) session, the request received from a 5G virtualized control plane function via a service based interface (SBI) bus. Network topology information for the 5G transport network is obtained via a northbound interface (Nn). A TE path across the 5G transport network is computed for the PDU session based on the network topology information. A TE path identifier for the TE path computed for the PDU session is returned via the SBI bus.