Techniques are disclosed for anomaly detection based on a predicted value. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input.

Various systems and methods for implementing a service-level agreement (SLA) apparatus receive a request from a requester via a network interface of the gateway, the request comprising an inference model identifier that identifies a handler of the request, and a response time indicator. The response time indicator relates to a time within which the request is to be handled indicates an undefined time within which the request is to be handled. The apparatus determines a network location of a handler that is a platform or an inference model to handle the request consistent with the response time indicator, and routes the request to the handler at the network location.

An order is received indicating a network service model. A context of the order is identified. A deployment plan is generated using the network service model, the deployment plan facilitating an instantiation of a contextually-motivated network service instance as a set of normalized lifecycle management (LCM) operations performed against each of a plurality of associated service entities. The deployment plan is deployed, the deploying including binding each of the normalized LCM operations, based on the context of the order, to one or more respective micro-capabilities, each of the respective micro-capabilities having previously been onboarded to the system as one or more corresponding modeled objects capable of being declaratively composed, each of the corresponding modeled objects including a mapping of object properties, object behaviors, and standard LCM operations to one or more existing micro-capabilities of the system. The deploying also including managing execution of the one or more respective micro-capabilities and associated resources, associated storage, and associated network and service allocation and configuration, to instantiate the contextually-motivated network service instance.

A method of deploying a network service across a plurality of data centers, includes the steps of: in response to a request for or relating to a network service, identifying virtual network functions associated with the network service and determining network connectivity requirements of the virtual network functions, issuing commands to provision a virtual link between at least two of the data centers in which the virtual network functions are to be deployed.

Disclosed is a method for network slicing, which includes: determining a service keyword of a service intention after receiving the service intention from a user; converting the service intention into a network request according to the service keyword of the service intention on the basis of a pre-established mapping model, wherein, the network request comprises at least one network requirement index; determining a set of network slicing configuration parameters according to the network request and current network environment state on the basis of a network slicing model, wherein the network slicing model is a deep neural network model for determining network slicing configuration parameters according to a network request and a network environment state; and performing a network slicing according to the set of network slicing configuration parameters. The present disclosure also provides a device for network slicing and a computer readable storage medium.

A method for determining a misconfiguration of components in an Information Technology (IT) infrastructure includes decomposing one or more components into sub parts, creating one or more synthetic objects, each synthetic object being associated with a sub part of a respective component, and including the components and the synthetic objects in a model of the IT infrastructure. The method further determines a relationship between a first component and a first synthetic object based on attributes of the first component and attributes of the first synthetic object, includes the determined relationship in the model of the IT infrastructure, and loads a graph of the IT infrastructure in a graph database with the first component and the synthetic object as nodes and the determined relationship as an edge in the graph. The method further determines the misconfiguration of components in the IT infrastructure by identifying components having improper relationships in the graph.

This disclosure describes techniques that include adding information to a network service header in packets being processed by a set of compute nodes in a service chain. The information added to the network service header can be used during selection of the next hop in a service chain, and may be used to help ensure that service level agreements (SLA) are met with respect to one or more metrics. In one example, this disclosure describes a method that includes receiving, by a service complex having a plurality of service nodes, a packet associated with a service chain representing a series of services to be performed on the packet by one or more of the plurality of service nodes; identifying, by the service complex, one or more service chain constraints associated with the service chain; and modifying the packet, by the service complex, to include information about the service chain constraints.

Techniques for providing a cross-ecosystem website for applications are presented. The techniques can include storing, by a webserver, multiple website templates in association with a plurality of respective web widgets and a respective Application Program Interface (API), where a plurality of respective back-end services correspond to the plurality of respective web widgets; receiving, from a website developer, a website template selection and a web widget selection; implementing a respective API for the cross-ecosystem website; storing in association with the cross-ecosystem website a manifest indicating services available on the cross-ecosystem website; and interfacing with a plurality of applications in a plurality of application ecosystems, using the API for the cross-ecosystem website.

As described herein, a system, method, and computer program provide consumer requirement based management for a physical edge deployment of an application. In use, a communication service provider received, from a third party, a definition of one or more service requirements for an application deployed within a network of the communication service provider. Further, the communication service provider manages a physical edge deployment of the application within the network for the third party to satisfy the one or more service requirements of the third party.

A method and system of portable and flexible deployment of dedicated servers in cloud computing. A user input of a selection of a server image template pertaining to a dedicated server to be deployed is received at a first screen at a user interface. The dedicated server is selected according to the user input of the selected server image template. The selected dedicated server is deployed, and an operating system is specified for the selected dedicated server in response to having deployed a server image associated with the selected server image template in the data center at each geographic location of one or more geographic locations. Deploying the selected dedicated server includes booting the selected dedicated server using the specified operating system.