G06F9/5077

Dynamic scheduling for live migration between cloud regions and edge locations

This disclosure describes systems, devices, and techniques for migrating virtualized resources between the main region and edge locations. Live migration enables virtualized resources to remain operational during migration. Edge locations are typically separated from secure data centers via the Internet, a direct connection, or some other intermediate network. Accordingly, to place virtualized resources within an edge location, the virtualized resources must be migrated over a secure communication tunnel that can protect virtualized resource data during transmission over the intermediate network. The secure communication tunnel may have limited data throughput. To efficiently utilize resources of the secure communication tunnel, and to reduce the impact of migrations on virtualized resource operations, virtualized resource migrations may be carefully scheduled in advance. For instance, virtualized resources may be selectively migrated at times-of-day in which they are likely to be relatively idle, or at times when the communication tunnel is predicted to have sufficient bandwidth.

RUNNING VIRTUAL MACHINES WITHIN CONTAINERS
20230041845 · 2023-02-09 ·

System and method for running virtual machines within containers. An example method may include: running, by a host computer system, a hypervisor managing a first virtual machine implemented by a first container with a first set of resources, creating, by the hypervisor, a second container implementing the second virtual machine, wherein the second container is nested within the first container, determining, by the first virtual machine of the first container, one or more of the first set of resources to assign to the second container, and assigning, by the hypervisor, to the second container one or more of the first set of resources.

Capacity and load analysis using storage attributes
11593179 · 2023-02-28 · ·

A method includes determining a capacity model that configures computing resource capacity for a capacity container. The method also includes estimating an available capacity in a capacity container based on a capacity of host devices in the capacity container. The method also includes generating, based on a selection of a visualization method, a visualization of a trend curve and a forecast curve, the trend curve representing historical capacity usage of the host devices. Implementations may include selecting an average virtual machine unit display or a raw units display and determining an average virtual machine based on averaging an attribute of one or more virtual machines.

Composable edge device platforms

Techniques discussed herein relate to providing composable edge devices. In some embodiments, a user request specifying a set of services to be executed at a cloud-computing edge device may be received by a computing device operated by a cloud computing provider. A manifest may be generated in accordance with the user request. The manifest may specify a configuration for the cloud-computing edge device. Another request can be received specifying the same or a different set of services to be executed at another edge device. Another manifest which specifies the configuration for that edge device may be generated and subsequently used to provision the request set of services on that device. In this manner, manifests can be used to compose the platform to be utilized at any given edge device.

Leader election in a distributed system based on node weight and leadership priority based on network performance

Example implementations relate to consensus protocols in a stretched network. According to an example, a distributed system includes continuously monitoring network performance and/or network latency among a cluster of a plurality of nodes in a distributed computer system. Leadership priority for each node is set based at least in part on the monitored network performance or network latency. Each node has a vote weight based at least in part on the leadership priority of the node. Each node's vote is biased by the node's vote weight. The node having a number of biased votes higher than a maximum possible number of votes biased by respective vote weights received by any other node in the cluster is selected as a leader node.

Stateless content management system
11593181 · 2023-02-28 · ·

One embodiment comprises a stateless container of binaries and a broker. The stateless container of binaries includes a code memory having stored thereon code for a first version of a first functional component of a content management system, the first functional component executable to provide a first version of a service. The broker may be executable to: receive a request for the service from a client application, the request associated with a user of the content management system; determine that the first version of the service is accessible with regard to the user; determine an available first server that hosts the first version of the service; provide an indication of the first version of the service to the client application; and provide an IP address and a port number associated with the available first server to the client application.

Process isolation via application-level blue-green topology

A method for routing requests to a plurality of server clusters is disclosed. The method comprises establishing a first server cluster responding to requests concerning a first software via a first version of that software and to requests concerning a second software via a first version of that software, and a second server cluster responding to requests concerning the first software via a second version of that software and to requests concerning the second software via a second version of that software. A gateway router initially routes requests concerning the first and second software by default to the first server cluster. Upon receiving a request to change default routing of requests, a configuration of the gateway router is updated. Subsequent requests concerning the first software are routed to the second server cluster while subsequent request concerning the second software remain routed to the first server cluster.

Method and system for multi-pronged backup using real-time attributes

A method and system for backup processes that includes identifying a target volume and identifying a number of available threads to back up the target volume. The elements in the target volume are distributed among the available threads based on a currently pending size of data in the threads. The elements are stored from each thread into a backup container, and merged from each of the backup containers into a backup volume.

Infrastructure-based risk diverse placement of virtualized computing resources

Techniques are described for enabling a service provider to determine an electrical (e.g., and thermal) topology that indicates which racks (e.g., physical server(s)) have a shared risk due to shared data center infrastructure, and place virtual machine instances into the physical servers based on the topology and a user-specified preference of a virtual machine instance type. In one embodiment, a computer-implemented method includes accessing a topology, for each lineup of a plurality of lineups that each comprise a plurality of racks of physical servers, that indicates one or more powered components utilized by that lineup, selecting a first physical server from a first lineup of the plurality of lineups at which to launch the first virtualized computing resource and a second physical server from a second lineup of the plurality of lineups at which to launch the second virtualized computing resource based on one or more virtualized computing resource preferences and the topologies for the plurality of lineups, and causing the first physical server to execute the first virtualized computing resource and the second physical server to execute the second virtualized computing resource.

METHODS AND SYSTEMS FOR MANAGING INTERCONNECTION OF VIRTUAL NETWORK FUNCTIONS

A method and apparatus is disclosed herein for use of a connectivity manager and a network infrastructure including the same. In one embodiment, the network infrastructure comprises one or more physical devices communicably coupled into a physical network infrastructure or via the overlay provided by the physical servers; and a virtual network domain containing a virtual network infrastructure executing on the physical network infrastructure. In one embodiment, the virtual network domain comprises one or more virtual network functions connected together through one or more links and executing on the one or more physical devices, and one or more interfaces coupled to one or more network functions via one or more links to communicate data between the virtual network domain and at least one of the one or more physical devices of the physical network infrastructure while the virtual network domain is isolated from other virtual infrastructures executing on the physical network infrastructure.