State of the art networking solutions are tightly coupled and proprietary in nature due to multiple vendors in the networking domain. Embodiments of the present disclosure provide a method and system for management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices. The method enables a platform for automatically and dynamically identifying appropriate group of microservices in accordance with network type and service type specified by the user, thus providing a solution that generates network aware microservices for each network in the heterogeneous network landscape. Furthermore, the system manages the identified microservices for each of the network by managing the life cycle of these microservices. The right life cycle management and coordination of the microservices for the network is in-line with desired goals/business logic, in a reliable and scalable manner, in heterogeneous network environments.

This disclosure describes techniques for improving CSB platforms (or CSB applications) that manages cloud services for different clients and different environments. In one example, the CSB platforms may be interconnected and configured to act as a proxy for the cloud services. The interconnected CSB platforms may perform spontaneous updating of stored service instance addresses when a service instance is tracked to trigger a strong consistency in the interconnected CSB platforms. Alternatively, the interconnected CSB platforms may perform delayed updating of stored service instance addresses when a service instance is tracked to trigger a weak consistency in the interconnected CSB platforms. Regulation of a frequency and scope of updating may improve the use of power resources in the CSB platforms.

In various implementations, a computer-implemented method for remotely managing settings of applications includes receiving a network communication from a managed device, the received network communication including a client-side hash value. The method further includes identifying settings for an application on the managed device in response to the receiving of the network communication, where the identified settings include configuration instructions for the application. Based on a comparison between the received client-side hash value and a server-side hash value that corresponds to the identified settings, at least some of the identified settings are transmitted to the managed device. The transmitting of at least some of the identified settings can be based on the comparison indicating a mismatch between the received client-side hash value and the server-side hash value. The method may also include completing processing of the received network communication after the transmitting of the at least some of the identified settings.

A controller network device receives command input for providing services over a service provider network and receives a verification request to verify an initial output of a control communication sent to a forwarding network device by a second controller network device in a group of peer controller network devices. The controller network device receives, from other controller network devices in the group of peer controller network devices, results that are responsive to the verification request and based on the command input and identifies a majority output from the results. The controller network device compares the initial output from the second controller network device to the majority output to determine that the initial output failed a verification vote and determines when a threshold number of control communications from the second controller network device, including the initial output, have failed verification votes.

A method and system for providing a NS instance satisfying a requested availability of a NSI comprises obtaining at least one VNFD for a VNF composing the NS, the VNFD being associated with at least one absolute availability value guaranteed according to at least one DF; obtaining an availability value of NFVI on which the VNF is to be deployed; determining a minimum availability value for a NS instance of the NS; selecting a VNF DF and RM for the VNF DF such that the product of the absolute availability value of the VNF DF, taking into account the selected RM, and of the availability value of the NFVI is greater than or equal to the minimum availability value for the NS instance; and instantiating the NS instance by instantiating at least one VNF instance according to the at least one selected VNF DF and corresponding RM.

Methods, apparatuses and computer program products for implementing dynamic retry of a resource service in a network system are provided. An example method may include: transmitting a first service request to the resource service, determining a first service availability indicator, calculating a first service availability estimate associated with the resource service based on the first service availability indicator, and determining whether to transmit a second service request based on the first service availability estimate. The example method may be repeated by an example apparatus continuously for each transmitted service request.

Systems and methods provide customers with a need-based warranty using a deep learning neural network. After categorizing, a customer need is mapped to a warranty type based on the SLA needs. Warranties may then be suggested based on customer need. In another embodiment, systems and methods detect an optimal warranty based on part failure and performance of a server. A mean time to resolve or replace can be minimized in future failure instances by comparing the derived replacement time with available warranty offerings to identify potential deviations and thereby recommend an optimal warranty from the available offerings. In a further embodiment, systems and methods identify and offer additional service contracts for vender services. A warranty proposer looks for warranty types that are emitted by a warranty-types analyzer and by a technical-support analyzer. The overlapping warranty offers are provided to customers.

A network management system (NMS) is described that provides a granular troubleshooting workflow at an application session level using an application session-specific topology from a client device to a cloud-based application server. During an application session of a cloud-based application, a client device running the application exchanges data through one or more access point (AP) devices, one or more switches at a wired network edge, and one or more network nodes, e.g., switches, routers, and/or gateway devices, to reach a cloud-based application server. For a particular application session, the NMS generates a topology based on network data received from a subset of network devices, e.g., client devices, AP devices, switches, routers, and/or gateways, that were involved in the particular application session over a duration of the particular application session. In this way, the NMS enables backward-looking troubleshooting of the particular application session.

Systems and methods for detecting, e.g., that a Network Function (NF) service consumer in a core network of a cellular communications system has restarted are disclosed. In some embodiments, a method of operation of a NF service consumer in a core network of a cellular communications system comprises sending, to a NF service producer, a message comprising information related to a unit of the NF service consumer.

A method, computer system, and a computer program product for deploying a plurality of microservices across a service infrastructure having a plurality of resources is provided. The present invention may include determining at least one dependency of the plurality of microservices. The present invention may include for each resource of the plurality of resources, determining an outage distribution descriptive of an availability of the resource with respect to time. The present invention may include based on the outage distribution associated with each resource and the at least one dependency of the plurality of microservices, determining a deployment configuration of the plurality of microservices across the resources of the service infrastructure.