Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuitry is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

Methods and systems for balancing online stores across servers. Monitoring a level of customer activity associated with a particular online store in a plurality of online stores. Detecting, based on the level of customer activity, a demand-level condition for the particular online store. Responsive to the detecting of the demand-level condition for the particular online store, moving one or more of the plurality of online stores from a first server of a plurality of servers to a second server of the plurality of servers.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.

Accordingly, embodiments herein disclose a method and system for distributed discovery and notifications for edge computing. The method includes receiving, by an edge configuration server (ECS) (116), an information profile of at least one edge application server (EAS) (112) provided by a source edge enabler server (EES) (14A) from a plurality of EESs (114). The EAS (112) is registered with the source EES (114A), Further, the method includes determining, by the ECS (116), at least one target EES (114B) of the plurality of EESs (114) based on the information profile of the at least one EAS (112). Further, the method includes sending, by the ECS (116), at least one notification to the at least one target EES (114B). The at least one notification includes information about the source EES (114A), and the information profile of the at least one EAS (112).

A web platform facilitates customization of decisions pertaining to content delivery management in a broadband network. A plurality of smart nodes may individually perform deep packet inspection (DPI) and to store DPI information thereof. Each smart node is installed at a neighborhood level in a broadband network. The web platform is used by at least one service provider and at least one content provider to provide respective preference data. A multi-attribute model generates at least one score corresponding to each of the preference data. The DPI information and the at least one score are analyzed for facilitating dynamic customization of the decisions and thereby delivering personalized content to an end-user.

A system and method for automatically scaling consumer servers in a data processing system. To build an automatic scaling system, the present disclosure allows consumers to obtain additional information, e.g., the number of events that await to be read from an aggregator when receiving an event from the aggregator. This additionally obtained number provides a direct gauge for the data processing system to determine when the consumers are over-provisioned, i.e., when the number of events left to be read is close to zero, as well as when the consumers are under-provisioned, e.g., when the number of events left to be read continues to increase. As a result, the consumers can be automatically scaled to handle the dynamic data processing demand while providing optimal resource allocation.

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuity is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores. The computing system might identify and might allocate network resources based on the identified best-fit network-based parsimony tree, for providing the requested network services.

In some implementations, a system may monitor session data associated with a first module and a second module of a platform. The system may determine a rate of communication between the first module and the second module based on the session data. The system may determine, using an optimization model, a co-location score associated with the first module and the second module based on the rate of communication, wherein the co-location score indicates an impact of co-location of the first module and the second module. The system may determine that the co-location score satisfies a co-location score threshold associated with an improvement to an operation of the platform. The system may perform an action associated with co-locating the first module and the second module.

In some implementations, a system may monitor session data associated with a first module and a second module of a platform. The system may determine a rate of communication between the first module and the second module based on the session data. The system may determine, using an optimization model, a co-location score associated with the first module and the second module based on the rate of communication, wherein the co-location score indicates an impact of co-location of the first module and the second module. The system may determine that the co-location score satisfies a co-location score threshold associated with an improvement to an operation of the platform. The system may perform an action associated with co-locating the first module and the second module.

Methods, apparatus, systems, and articles of manufacture to service workloads locally at a computing device are disclosed. An example apparatus includes processor circuitry to instantiate application circuitry to, after determining that the container is locally available to execute the workload, transmit an application programming interface (API) call to local API gateway circuitry using a system local network stack Internet protocol (IP) address; the local API gateway circuitry to identify service container circuitry to execute the workload based on the API call; and the service container circuitry to utilize the container to execute the workload to generate an output; and the local API gateway circuitry to forward the output to the application circuitry.