Some embodiments provide a novel method of performing health monitoring for resources associated with a global server load balancing (GSLB) system. This system is implemented by several domain name system (DNS) servers that perform DNS services for resources located at several geographically separate sites. The method identifies several different groupings of the resources. It then assigns the health monitoring of the different resource groups to different DNS servers. The method then configures each particular DNS server (1) to send health monitoring messages to the particular group of resources assigned to the particular DNS server, (2) to generate data by analyzing responses to the sent health monitoring messages, and (3) to distribute the generated data to the other DNS servers. The method in some embodiments is performed by a set of one or more controllers.

Some embodiments provide a novel method of performing health monitoring for resources associated with a global server load balancing (GSLB) system. This system is implemented by several domain name system (DNS) servers that perform DNS services for resources located at several geographically separate sites. The method identifies several different groupings of the resources. It then assigns the health monitoring of the different resource groups to different DNS servers. The method then configures each particular DNS server (1) to send health monitoring messages to the particular group of resources assigned to the particular DNS server, (2) to generate data by analyzing responses to the sent health monitoring messages, and (3) to distribute the generated data to the other DNS servers. The method in some embodiments is performed by a set of one or more controllers.

Techniques for committing back end computing resources to an online stream of requests for data from client devices are described herein. A polling schedule server (e.g., a reservation management system), may receive polling reservation requests from a plurality of client devices, may evaluate each client device's need for “fresh” data based on a number of input signals, and may assign the client device a polling slot (e.g., a reservation for a future polling time). The polling scheduler server may subsequently receive a polling request from a client device and, upon validating a token received from the client device as well as a difference between an assigned polling time and the polling request timestamp, may grant the polling request by transmitting a request to one or more communication system servers, receiving data from the communication system servers, and providing the data to the client device.

Techniques for committing back end computing resources to an online stream of requests for data from client devices are described herein. A polling schedule server (e.g., a reservation management system), may receive polling reservation requests from a plurality of client devices, may evaluate each client device's need for “fresh” data based on a number of input signals, and may assign the client device a polling slot (e.g., a reservation for a future polling time). The polling scheduler server may subsequently receive a polling request from a client device and, upon validating a token received from the client device as well as a difference between an assigned polling time and the polling request timestamp, may grant the polling request by transmitting a request to one or more communication system servers, receiving data from the communication system servers, and providing the data to the client device.

Embodiments of the present disclosure provide systems, methods, and non-transitory computer storage media for detecting abnormal behavior of device in an enterprise network based on an analysis of behavioral information of the device's neighbors in network. At a high level, embodiments of the present disclosure employ a hive-mind approach to determine anomalous behavior of a device in a network based on analyzing behavior information reported by neighboring devices within the network. Embodiments identify that a device is alive and connected within the network based on multiple neighboring devices reporting behavioral information about the device; however, the device may be dysfunctional and failing to report its own information. By aggregating and analyzing behavioral information of a device based on the reporting information of its neighboring devices, embodiments of the present disclosure are able to determine whether a device is healthy even when the device is unable to report its own information.

Embodiments of the present disclosure provide systems, methods, and non-transitory computer storage media for detecting abnormal behavior of device in an enterprise network based on an analysis of behavioral information of the device's neighbors in network. At a high level, embodiments of the present disclosure employ a hive-mind approach to determine anomalous behavior of a device in a network based on analyzing behavior information reported by neighboring devices within the network. Embodiments identify that a device is alive and connected within the network based on multiple neighboring devices reporting behavioral information about the device; however, the device may be dysfunctional and failing to report its own information. By aggregating and analyzing behavioral information of a device based on the reporting information of its neighboring devices, embodiments of the present disclosure are able to determine whether a device is healthy even when the device is unable to report its own information.

A system for efficient routing of an (OAM) frame in an Ethernet switch receives an OAM frame at a first port; building a first classification key dependent on an OAM frame header; classifies in a context of the first port to create a first classification; resolves action dependent on the first classification; modifies the first classification key to create a second classification key; classifies the frame in a context of the second port to create a second classification; sends the second classification key to an OAM engine coupled to the Ethernet switch for modification into a third classification key; receives the third classification key from the OAM engine; modifies the third classification key into a final classification key; modifies the header of the OAM frame with the final classification key; and sends the modified OAM frame to a switching fabric of the Ethernet switch.

A system for efficient routing of an (OAM) frame in an Ethernet switch receives an OAM frame at a first port; building a first classification key dependent on an OAM frame header; classifies in a context of the first port to create a first classification; resolves action dependent on the first classification; modifies the first classification key to create a second classification key; classifies the frame in a context of the second port to create a second classification; sends the second classification key to an OAM engine coupled to the Ethernet switch for modification into a third classification key; receives the third classification key from the OAM engine; modifies the third classification key into a final classification key; modifies the header of the OAM frame with the final classification key; and sends the modified OAM frame to a switching fabric of the Ethernet switch.

Embodiments of this present disclosure may include a system that includes a first network device. The first network device may perform an operation according to a device configuration file. The system may also include a second network device that directly communicatively couples to the first network device through a peer-to-peer (P-P) communication network. The second network device may include a backup file of the device configuration file. The second network device may transmit the backup file of the device configuration file to the first network device in response to detecting that the first network device is lacking the device configuration file.

A message processing method and device, a storage medium, and an electronic device are provided. The method includes: acquiring a first message sent by an Ingress Process Engine (IPE) of a switch, and acquiring a second message sent by an Egress Process Engine (EPE) of the switch, a header of the first message includes data collected by an Inband Network Telemetry (INT), and the first message is the same as the second message; identifying the first message and the second message as a same message stream according to key information of a message header; and combining and reorganizing the first message and the second message identified as the same message stream into an INT report, and sending the INT report to a target device. The problem in the related art that network state monitoring at a protocol layer consumes a large amount of network bandwidth is solved.