Patent classifications
H04L43/0829
IN-SITU FLOW DETECTION METHODS AND ELECTRONIC DEVICES
The present disclosure provides an in-situ flow detection method and an electronic device. In the present disclosure, a BFIR in the G-BIER domain and an intermediate BFR between the BFIR and a BFER may transmit in situ flow detection information used for detecting network quality currently along with a G-BIER service packet, which realizes in-situ flow detection based on G-BIER service packet; at the same time, the BFIR in the G-BIER domain, the intermediate BFR and the BFER in the G-BIER domain may also report detection data used for detecting network quality currently to an analyzer which finally may detect network quality based on the detection data reported by the BFIR and the BFER in the G-BIER domain and the intermediate BFR between the BFIR and the BFER.
APPLICATION SERVICE LEVEL EXPECTATION HEALTH AND PERFORMANCE
Techniques are described for monitoring application performance in a computer network. For example, a network management system (NMS) includes a memory storing path data received from a plurality of network devices, the path data reported by each network device of the plurality of network devices for one or more logical paths of a physical interface from the given network device over a wide area network (WAN). Additionally, the NMS may include processing circuitry in communication with the memory and configured to: determine, based on the path data, one or more application health assessments for one or more applications, wherein the one or more application health assessments are associated with one or more application time periods for a site, and in response to determining at least one failure state, output a notification including identification of a root cause of the at least one failure state.
MONITORING CAUSATION ASSOCIATED WITH NETWORK CONNECTIVITY ISSUES
Described herein are systems, methods, and software to identify causes of connectivity issues in a computing environment. In one example, a computing system monitors network characteristics associated with the computing system and identifies an error notification from a service on the computing system that indicates a connectivity issue with one or more other computing systems. In response to the error notification, the computing system identifies additional network characteristics associated with connections to the one or more other computing system and determines one or more probable causes of the connectivity issue based on the network characteristics and additional network characteristics. The computing system can then generate a summary using the one or more probable causes.
MONITORING CAUSATION ASSOCIATED WITH NETWORK CONNECTIVITY ISSUES
Described herein are systems, methods, and software to identify causes of connectivity issues in a computing environment. In one example, a computing system monitors network characteristics associated with the computing system and identifies an error notification from a service on the computing system that indicates a connectivity issue with one or more other computing systems. In response to the error notification, the computing system identifies additional network characteristics associated with connections to the one or more other computing system and determines one or more probable causes of the connectivity issue based on the network characteristics and additional network characteristics. The computing system can then generate a summary using the one or more probable causes.
Determining transmission path based on pre-stored quality information from client devices
A data transmission method according to an embodiment is performed by a computing device including one or more processors and a memory in which one or more programs to be executed by the one or more processors are stored. The data transmission method includes receiving, from connected client devices, peer-to-peer (P2P) network information of the client devices, extracting one or more of information on whether network access is successful and network quality information, which are matched with the P2P network information and pre-stored, and determining one of a first data transmission path and a second data transmission path as a data transmission path for the client devices based on one or more of the information on whether network access is successful and the network quality information.
Determining transmission path based on pre-stored quality information from client devices
A data transmission method according to an embodiment is performed by a computing device including one or more processors and a memory in which one or more programs to be executed by the one or more processors are stored. The data transmission method includes receiving, from connected client devices, peer-to-peer (P2P) network information of the client devices, extracting one or more of information on whether network access is successful and network quality information, which are matched with the P2P network information and pre-stored, and determining one of a first data transmission path and a second data transmission path as a data transmission path for the client devices based on one or more of the information on whether network access is successful and the network quality information.
Adaptive private network asynchronous distributed shared memory services
A highly predicable quality shared distributed memory process is achieved using less than predicable public and private internet protocol networks as the means for communications within the processing interconnect. An adaptive private network (APN) service provides the ability for the distributed memory process to communicate data via an APN conduit service, to use high throughput paths by bandwidth allocation to higher quality paths avoiding lower quality paths, to deliver reliability via fast retransmissions on single packet loss detection, to deliver reliability and timely communication through redundancy transmissions via duplicate transmissions on high a best path and on a most independent path from the best path, to lower latency via high resolution clock synchronized path monitoring and high latency path avoidance, to monitor packet loss and provide loss prone path avoidance, and to avoid congestion by use of high resolution clock synchronized enabled congestion monitoring and avoidance.
Adaptive private network asynchronous distributed shared memory services
A highly predicable quality shared distributed memory process is achieved using less than predicable public and private internet protocol networks as the means for communications within the processing interconnect. An adaptive private network (APN) service provides the ability for the distributed memory process to communicate data via an APN conduit service, to use high throughput paths by bandwidth allocation to higher quality paths avoiding lower quality paths, to deliver reliability via fast retransmissions on single packet loss detection, to deliver reliability and timely communication through redundancy transmissions via duplicate transmissions on high a best path and on a most independent path from the best path, to lower latency via high resolution clock synchronized path monitoring and high latency path avoidance, to monitor packet loss and provide loss prone path avoidance, and to avoid congestion by use of high resolution clock synchronized enabled congestion monitoring and avoidance.
Wireless communication network audio data packet loss diagnostics and visualization system
A processor-implemented method includes receiving, from a mobile device, transmission information corresponding to an audio data transmission associated with an audio data packet loss of one or more audio data packets. The processor determines, based at least in part on the transmission information, a geographic region associated with a wireless communication network transceiver. The processor further determines an average audio data packet loss rate associated with the geographic region and a correlation between the audio data packet loss and at least one key performance indicator (KPI). The KPI is indicative of the audio data transmission. Based at least in part on (i) the average audio data packet loss rate and (ii) the correlation between the audio data packet loss and the at least one KPI, the processor generates a handover instruction comprising at least one threshold value for transitioning control from a first cell channel to a second cell channel.
Wireless communication network audio data packet loss diagnostics and visualization system
A processor-implemented method includes receiving, from a mobile device, transmission information corresponding to an audio data transmission associated with an audio data packet loss of one or more audio data packets. The processor determines, based at least in part on the transmission information, a geographic region associated with a wireless communication network transceiver. The processor further determines an average audio data packet loss rate associated with the geographic region and a correlation between the audio data packet loss and at least one key performance indicator (KPI). The KPI is indicative of the audio data transmission. Based at least in part on (i) the average audio data packet loss rate and (ii) the correlation between the audio data packet loss and the at least one KPI, the processor generates a handover instruction comprising at least one threshold value for transitioning control from a first cell channel to a second cell channel.