Embodiments for dynamic bandwidth allocation in cloud network switches in a cloud computing environment are provided. Quality of service (QoS) policies may be dynamically changed in one or more cloud network switches based on dynamically estimating expected traffic demands for each of a plurality of traffic classes, wherein bandwidth is dynamically allocated among queues based on changing the QoS policies.

A session management function (SMF) receives, from an access and mobility management function (AMF), a first request message. The first request message is for a time sensitive network (TSN) bridge. The SMF selects, based on the first request message, a user plane function (UPF) that supports TSN functionality. The SMF sends, to the UPF, a second request message to configure the UPF for the TSN bridge. The second request message comprises an identifier of the TSN bridge. The second request message comprises an identifier of a port associated with TSN packet transmission.

Systems and methods are provided for transmitting low latency traffic in next generation wireless local area networks. A new Media Access Control (MAC) layer frame can be transmitted by an AP to establish a reserved time period during which interference from/collisions with other stations transmitting non-high priority data is avoided. Stations with non-high priority data queued for transmission can defer accessing a channel on which to effectuate the transmission until the reserved time period expires.

In an approach for proactive service group based auto-scaling, a processor collects usage data generated in one or more services in a container platform. A processor predicts access situation and resource utilization of the one or more services based on the usage data. A processor constructs a dynamic correlation topology among the one or more services based on the access situation and resource utilization. A processor identifies associated services correlated with the one or more services based on the dynamic correlation topology. A processor, in response to a service request exceeding a pre-set threshold, expands the one or more services and associated services.

Systems, methods, apparatuses, and computer readable media may be configured for establishing at least one session for delivery of multimedia. In an aspect, a first transmission of data fragments of a first component and a second transmission of data fragments of a second component may be transmitted and synchronized for presentation. If an inactivity event is detected the session may be maintained while reducing bandwidth consumption.

Systems and methods for managing a global virtual network connection between an endpoint device and an access point server are disclosed. In one embodiment the network system may include an endpoint device, an access point server, and a control server. The endpoint device and the access point server may be connected with a first tunnel. The access point server and the control server may be connected with a second tunnel.

Systems and methods are described herein for inserting supplemental content into a QAM signal. A unicast QAM signal between a server and a client device for delivery of content is established. The QAM signal has a particular frequency corresponding to the channel on which it will be transmitted to the client device. A request or other signal may be received from the client device requesting that supplemental content be inserted into the QAM signal. A portion of the bandwidth of the QAM signal is allocated for the supplemental content. The supplemental content is transcoded into a supplemental QAM signal in the particular frequency. The supplemental content may be packetized content such as internet protocol-based content and may be retrieved from a server or database. The supplemental QAM signal is then inserted into the unicast QAM signal using the allocated portion of the bandwidth.

A method, performed by a server, of adjusting allocation of computing resources to a plurality of virtualized network functions (VNFs), and the server are provided. The method includes: for processing at least one task related to user equipments (UEs) connected to the server, identifying a plurality of VNFs related to the task; obtaining predicted traffic expected to be generated in the server by processing the task via the plurality of VNFs; obtaining, from at least one associated server, status information of computing resources in the at least one associated server; and adjusting allocation of computing resources to the plurality of VNFs based on the status information of the computing resources in the at least one associated server and the predicted traffic, wherein the at least one associated server includes another server that processes the task.

A disclosed computer-implemented method may include partitioning, based on a social graph representative of social connections among a plurality of users of a social networking system, the plurality of users into a plurality of user buckets. Each user bucket may include at least one user of the social networking system. The method may further include selecting a set of user buckets from the plurality of user buckets, assigning the set of user buckets to a data center included in a networking infrastructure, and routing data sent from a user device associated with a user included in the set of user buckets to the data center. Various other methods, systems, and computer-readable media are also disclosed.

Disclosed herein is a method for resource allocation in an edge-computing environment. The method includes receiving a request for an intelligent edge service, selecting the worker server to execute the service based on an input/output congestion level, allocating resources based on topology information of the worker server, and configuring a virtual environment based on the allocated resources.