There is provided allocating cloud computing resources to process a user session by a gateway in a mobile communications network, and allocating the cloud computing resources in pairs to user sessions. Rules for the pair of allocated resources are determined such that incoming control plane traffic associated with the session is forwarded to the both cloud computing resources forming the pair.

There is provided allocating cloud computing resources to process a user session by a gateway in a mobile communications network, and allocating the cloud computing resources in pairs to user sessions. Rules for the pair of allocated resources are determined such that incoming control plane traffic associated with the session is forwarded to the both cloud computing resources forming the pair.

Methods and systems to detect and resolve failure in a distributed database system is described herein. A first node in the distributed database system can detect an interruption in communication with at least one other node in the distributed database system. This indicates a network failure. In response to detection of this failure, the first node starts a failure resolution protocol. This invokes coordinated broadcasts of respective lists of suspicious nodes among neighbor nodes. Each node compares its own list of suspicious nodes with its neighbors' lists of suspicious nodes to determine which nodes are still directly connected to each other. Each node determines the largest group of these directly connected nodes and whether or not it is in that group. If a node isn't in that group, it fails itself to resolve the network failure.

A data reporting method includes generating a data uploading token by a main network node, determining, from a plurality of data-uploading network nodes waiting for data uploading, a plurality of qualified network nodes having a data uploading qualification, allowing the qualified network nodes to compete for the data uploading token, and coordinating a data uploading operation with a winning network node of the qualified network nodes that obtained the data uploading token.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Disclosed is a method of fault recovery in a multi-hop network having a plurality of nodes, defining a route, comprising the steps of: determining that a fault exists between two of the plurality of nodes (B, C); performing a hierarchical fault recovery process.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Disclosed is a method of fault recovery in a multi-hop network having a plurality of nodes, defining a route, comprising the steps of: determining that a fault exists between two of the plurality of nodes (B, C); performing a hierarchical fault recovery process.

A message queue storage device includes: a non-volatile flash memory unit including one or more flash memory dies including one or more pages grouped into one or more flash blocks; a volatile memory; a data port; and a storage controller configured to: receive, via the data port, a message write command including a message and a queue identifier; identify a queue from one or more queues based on the queue identifier; determine that the message is a persistent message; select a write physical location in one or more pages of the flash memory dies in which to store the message; and store the message associated with the queue at the write physical location in the one or more pages of the non-volatile flash memory unit.

The disclosed technology teaches testing a mesh network using new service application level KPIs that extend the TWAMP measurement architecture. A control-client receives and parses a configuration file to populate memory with IP addresses, ports, and test session parameters for disclosed KPIs used to originate two-way test sessions from a first network host; with control-servers and session-reflectors. The method extends the receiving, parsing and originating to dozens to thousands of control-clients, by sending to the control-clients configuration files to originate respective test sessions with control-servers in a mesh network using respective test session parameters; and while the test is running, sending an updated configuration file to at least one control-client that introduces a new control-server or replaces a control-server; and expanding the test to include the new or replacement control-server without stopping or restarting TW test sessions with other control-servers; and monitoring the running test sessions and receiving results.

An embodiment is directed to switchover operations with a mobile virtualized network device in a mobile device. The mobile virtualized hardware switchover operations may be used to selectively and temporarily provide virtualized control-plane operations to the data-plane of a non-redundant network device undergoing an upgrade or a reboot of its control plane. A non-redundant network device may operate hitless, or near hitless, operation even when its control plane is unavailable.

An approach for diagnosing degradations in performance and malfunctions in sensor networks is disclosed. This approach is based on so-called “fault signatures”. Such fault signatures are generated for known fault conditions through a statistical analysis process that results in each known fault having a unique fault signature. Such unique fault signatures can then point to the root cause of a problem.