A method for automatic configuration of a communication network includes: generating a request message, the request message including a communication address associated; transmitting the generated request message as a broadcast message to a plurality of computing devices using a predefined user datagram protocol (UDP) port, the message being broadcast with a predetermined time to live; receiving agreement messages from computing devices transmitted by the respective computing device using the predefined UDP port, each agreement message including a communication address associated with the respective computing device and a specified transmission control protocol (TCP) port; identifying at least one of the one or more agreement messages for establishment of communication; and establishing a communication connection to the computing device associated with each identified agreement message using the specific TCP port.

Described embodiments provide systems and methods for upgrading user space networking stacks without disruptions to network traffic. A first packet engine can read connection information of existing connections of a second packet engine written to a shared memory region by the second packet engine. The first packet engine can establish one or more virtual connections according to the connection information of existing connections of the second packet engine. Each of the first packet engine and the second packet engine can receive mirrored traffic data. The first packet engine can receive a first packet and determine that the first packet is associated with a virtual connection corresponding to an existing connection of the second packet engine. The first packet engine can drop the first packet responsive to the determination that the first packet is associated with the virtual connection.

A method includes adding, by a first apparatus, a first node to the first apparatus, where the first apparatus is configured to store and manage service-related data, and where the first node is configured to perform a grayscale upgrade on a first service; configuring, by the first apparatus, a grayscale rule; identifying, by the first apparatus and according to the grayscale rule, a grayscale user to test the first service; sending, by the first apparatus to a second apparatus, the grayscale rule, wherein the second apparatus is a front-end apparatus of the first apparatus; and performing, by the first node, the grayscale upgrade on the first service of the grayscale user.

Managing containerized workloads, such as by Kubernetes, provides a robust and expandable platform. Kubernetes high-availability (HA) mode provides additional safeguards against failure that allows services to be maintained without interruption in the event of a partial system or network failure. However, Kubernetes requires an odd number of master nodes (e.g., three) in order to be able have a quorum and maintain certain operations (e.g., election of a leader). In the event a master node loses functionality, the remaining master nodes are unable to have a quorum. System and methods are provided to convert a worker-only node into a master node in order to reestablish a quorum. Once functionality is restored, the converted master is reverted back to a worker-only node and the restored master, and remaining masters, maintain the quorum.

For a communication network using a satellite-involved backhaul, the backhaul outage and restoration states are predicted based on satellite motion data. Based on such predictions, devices providing the core portion of the communication network, and nearby Internet or backhaul radio devices can schedule or take actions. Actions can include but are not necessarily limited to: powering equipment up or down, suspending communications, migrating software from servers being powered down, transmitting replies to packets to indicate an anticipated outage and optionally anticipated outage end time, marking packets with congestion indications, closing or reopening certain ports, withdrawing or reinstating routing table addresses, and transmitting outage notifications to users or devices.

Systems, methods, and non-transitory computer-readable storage media for stage upgrades in a network. The system generates graph-data structured based representations of devices in the network, wherein respective attributes of the representations is selected based on respective services provided by the devices to tenants in the network and identities of respective tenants serviced by the devices. Next, the system generates a graph showing a distribution of the devices in the network according to the representations, wherein the representations are interconnected in the graph based on service roles of associated devices with respect to tenants in the network and other devices associated with the tenants. The system then schedules an upgrade of devices based on the graph, the upgrade being scheduled in stages, each stage including devices selected for upgrade in that stage, wherein the devices for each stage are selected by identifying devices having respective representations assigned to that specific stage.

A redundant network IP smart failover method and system based on a redundant computer. Each computer in any computer group comprises an IP address switching module, a network status detecting module, and a peer fault detecting module. The IP address switching module is configured to smoothly switch an IP address in the redundant network. The peer fault detecting module is configured to mutually exclusively and stably acquire operation statuses of peer computers and quickly obtain a correct redundant network IP when necessary. The network status detecting module is configured to determine statuses of local and remote networks to facilitate the IP address switching module to smartly switch the IP address. Configuring a network status detecting module and a peer fault detecting module to aid the IP address switching module to allocate IP addresses more smartly can significantly improve reliability of the redundant network and effectively reduce IP conflicts during the redundant network failover process.

The present invention provides a method of mobilizing user data in a computing network. The method includes (i) providing a computing network that stores and delivers data, wherein the network comprises multiple lodging nodes that are geographically distributed; (ii) categorizing the data stored in and delivered by the computing network into user data and system data; and (iii) delivering an end user (EU)'s user data to one of the lodging nodes. One of the benefits from this method is that an end user does not need to carry his/her data with a mobile computing device or storage device while on the move, while the security, safety, reliability and redundancy of the user data are maintained.

A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying a plurality of assets within a data center; generating data center asset profile data for each of the plurality of assets within the data center; identifying a plurality of asset configurations related to the asset profile data; and, calculating costs associated with the plurality of asset configurations related to the asset profile data.

Disclosed are systems and methods for a robust Self-Organizing Network (SON) framework that quantifies SON applications' control and management of a network into key performance indicators (KPI) that are leveraged to determine the impact of a SON's application effectiveness in regulating network parameters, which then dictates how the SON application operates. The disclosed framework is configured to receive multiple data streams from existing data sources, determine the performance of a node on a network, and then automatically perform SON operations based therefrom. The disclosed framework can utilize this information to predict additional and/or future opportunities for SON automation on the network.