Telefonaktiebolaget Lm Ericsson (publ)

Cisco Technology, Inc.

Bob Melander

Jan-Erik Mångs

Christofer Flinta

Hareesh Puthalath

Sridar Kandaswamy

Svante Ekelin

Azimeh Sefidcon

Gonzalo A Salgueiro

Ayodele Damola

Sebastian Jeuk

Andreas Johnsson

Enrique Eduardo Fernández Casado

Enrique Eduardo Fernandez Casado

Vinay Yadhav

Erik Bergfeldt

Jan-Erik M{dot Over (a)}ngs

Jan-Erik Mängs

Jans-Erik Mangs

Jan-Erik MÅNGS

Enrique Eduardo FERNÁNDEZ Casado

Apparatuses and methods enable connecting tunnels channeling data flow from a user terminal and to a mobile network through a virtual switch in a network device which is configured to provide a service by processing data in the data flow. A method performed by a device having one or more processors includes establishing a first tunnel between the device and a node of the mobile network, and a second tunnel between the device and another network device of the mobile network, the first tunnel and the second tunnel operating according to Internet protocols. The method further includes connecting the first tunnel to the second tunnel using a virtual switch running on the device, and connecting a virtual machine running on the device to the virtual switch, the virtual machine being configured to provide a service by processing data in the data flow.

Apparatuses and methods related to connecting tunnels through a virtual switch

Techniques for edge cloud identification. An indication of edge clouds is received. Each edge cloud is uniquely identifiable via an associated edge cloud identifier. A characteristic is received from each of the edge clouds. An edge cloud for communication is determined based on the characteristic. The edge cloud is communicated with using its associated edge cloud identifier.

Identifying edge clouds within networks

In an embodiment, a computer-implemented method comprises receiving logical model input that specifies a logical topology model of networking elements and/or computing elements for deployment at least partially in a private cloud computing infrastructure and at least partially in a public cloud computing infrastructure; receiving resource input specifying an inventory of computing elements that are available at least partially in the private cloud computing infrastructure and at least partially in the public cloud computing infrastructure; automatically generating an intermediate topology comprising a set of deployment instructions that are capable of execution at least partially in the private cloud computing infrastructure and at least partially in the public cloud computing infrastructure to cause physical realization of a network deployment corresponding to the logical topology model; determining whether the intermediate topology is functionally equivalent to the logical topology model; in response to determining that the intermediate topology is functionally equivalent to the logical topology model, transmitting the deployment instructions at least partially to the private cloud computing infrastructure and at least partially to the public cloud computing infrastructure.

Formal model checking based approaches to optimized realizations of network functions in multi-cloud environments

Certain aspects of the present disclosure provide a method for managing network operations. The method generally includes selecting an edge cloud of a plurality of edge clouds to be used for performing one or more network operations for at least one endpoint device. In certain aspects, the selection may be based on an indication of at least one of an amount of available resources or capabilities associated with each of the plurality of edge clouds. In certain aspects, the method also includes configuring the edge cloud to perform the one or more network operations based on the selection.

A method, computer environment and cloud server configured to facilitate communication among plural networks established in the cloud server. The cloud server () includes hardware components () configured to process and store information; a hypervisor () configured to run on the hardware components () and also configured to provide a virtual platform in a kernel space (); a first virtual machine () running on the virtual platform in a user space (); a first L2aaS network () connected to the first virtual machine (), the first L2aaS network () being located in the kernel space (); a second virtual machine () running on the virtual platform in the user space (); a second L2aaS network () connected to the second virtual machine (), the second L2aaS network () being located in the kernel space (); and a virtual router () located in the kernel space () and connected to the first L2aaS network () and the second L2aaS network (). The virtual router () is configured to provide router functionality between the first and second L2aaS networks ().

Layer 3 service implementation in cloud servers and method

An application, interface, device and method for coordinating a parameter across cloud domains of various distributed data centers. The method includes using an infrastructure service for generating one or more values of the parameter so that the values are different from each other; and providing the values to the respective cloud domains.

Method and architecture for distributed cloud domains

The application relates to a method and a system () for deploying cloud services to a cloud computing network () where the cloud services are to be provided to mobile cloud customers. Current cloud services are not optimized to take into account cloud service customers that are mobile which results in inefficient use of the transmission resources in the network. The problem is solved by a method and a system () for pre-deploying the required cloud service to a feasible cloud service processing environment (-) that is closest to the location where the cloud customer (-) plans to be at a certain estimated time of arrival and duration.

Method and system for cloud service deployment

The subject disclosure relates to a method for scheduling logical resources in cloud platforms. A cloud platform system identifies resource candidates for hosting a logical resource of a cloud service. The system filters the resource candidates by running them through a filter chain, a collection of serially connected filters. The filter chain may contain one or more reference filters that reference other filter chains. When the resource candidates encounter one of the reference filters, the other filter chains can be triggered and processed. The system selects one or more resources for hosting the logical resource from the filtered resource candidates.

Collaborative inter-service scheduling of logical resources in cloud platforms

In one embodiment, a method includes creating a logical router on a first router, the first router being supported on a first node, the logical router being created for a tenant. The method also includes determining whether a mode change is indicated, and migrating the logical router from the first router to the second router when it is determined that the mode change is indicated. The mode change is associated with migrating the logical router from the first router to a second router, where the second router is also supported on the first node.

Method and apparatus for improving cloud routing service performance

A unit (), computer readable medium and method for automatically providing processing elements allocation in a network () for a droplet of a user () based on a request () of the user (). The method includes receiving at the unit () of the network () the request () that includes at least a required condition or a preference related to the droplet; processing at the unit () the request (), based on various known characteristics of the network (); and automatically mapping processing elements () of the network () to the droplet such that an output of the processing step includes the processing elements allocation for the droplet and complies with the request.

System and method for processing computational elements allocation

A system, computer readable medium and method for merging a first virtual machine and a second virtual machine that runs on a same or different physical machine. The method includes a step of receiving instructions for merging processes of the first virtual machine with processes of the second virtual machine; a step of merging the first virtual machine with the second virtual machine onto a first physical machine; a step of merging an operating system of the first virtual machine with an operating system of the second virtual machine onto the first physical machine; and a step of maintaining active in the merged virtual machine each process that was active prior to merging the first and second virtual machines.

Virtual machine merging method and system

The invention relates to a visualization platform () arranged to provide at least one virtual operating system instance (A, . . . ,N) to at least one remote network () over a packet-based communication network (). The visualization platform is characterized in that it comprises at least one first termination point () of a virtual private network VPN tunnel () which enables the establishment of at least one VPN tunnel between said at least one first termination point and at least one second termination point () in said at least one remote network over said packet-based communication network; and in that it is arranged to map said at least one virtual operating system instance to said at least one first termination point of said at least one VPN tunnel. The invention also relates to a method for virtualization and a computer program product.

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Sigtuna, Sweden

Bob Melander