The described technology is generally directed towards methods for data latency evaluation. The techniques disclosed herein can provide useful information about when a data consumer can expect to receive data. Methods can create and compare data latency cumulative probability distributions comprising probabilities associated with different latency values, at various different levels of completeness.

The described technology is generally directed towards methods for data latency evaluation. The techniques disclosed herein can provide useful information about when a data consumer can expect to receive data. Methods can create and compare data latency cumulative probability distributions comprising probabilities associated with different latency values, at various different levels of completeness.

In one embodiment, a device maintains a buffer of historical telemetry data of a particular type of telemetry. The device obtains new telemetry data of the particular type of telemetry. The device makes a state evaluation by comparing the new telemetry data to the buffer, to determine whether the new telemetry data is an outlier. The device sends a message indicative of the new telemetry data to a message bus for delivery to a recipient that is not subscribed to receive telemetry data of the particular type of telemetry, when the device determines that the new telemetry data is an outlier.

A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

The disclosed apparatus, systems and methods relate a failover and internet connection monitoring system featuring a cloud server running an API, a probe, a firewall and a policy routing system. The failover connection monitoring system is capable of gathering and analyzing performance data and controlling the flow of packets to and from the internet over one or more connections to optimize performance of the network.

A messaging system comprises a plurality of connected components and including a schema defining fields for messages, at least one field defined as non-essential. A mechanism for operating the messaging system comprises the steps of collecting one or more performance metrics for one or more components of the messaging system, determining that at least one performance metric has crossed a predetermined threshold, informing one or more components of the messaging system that a surge in workload has occurred, and the informed components removing non-essential fields from transmitted messages and/or not processing non-essential fields from received messages.

A system includes a computer processor located within a cloud system. The system receives data from a sensor associated with an industrial or home automation control application. The sensor is configured to monitor a first condition of a device. The computer processor analyzes the data, and transmits a software update or software download from the cloud system to the industrial or home automation control application based on the data analysis.

A load distribution apparatus connected, via a network, to a plurality of relay apparatuses that relay communication performed by a terminal, and to the terminal, including: storage means configured to store relay apparatus identifiers that identify each of the plurality of relay apparatuses, installation site information that indicates installation sites of each of the plurality of relay apparatuses, and load information that indicates loads of each of the plurality of relay apparatuses; load management means configured to collect the load information from each of the plurality of relay apparatuses to store the load information in the storage means; selection means configured, when receiving a request from the terminal, to select a relay apparatus for relaying communication performed by the terminal from among the plurality of relay apparatuses based on the installation site information or the load information; and transmission means configured to transmit, to the terminal that transmits the request, a relay apparatus identifier of the relay apparatus selected by the selection means.

A method is provided of managing a non-static collection of machines. A first client machine runs a first communication protocol. The non-static collection of machines includes a first linear communication orbit, the first linear communication orbit comprising a sequence of machines that run the first communication protocol, and a second linear communication orbit, the second linear communication orbit comprising a sequence of machines that run a second communication protocol distinct from the first communication protocol. The first client machine receives an instruction from a server to install the second communication protocol, installs the second communication protocol, and then submits a registration request to the server. The first client machine receives, from the server, contact information of a list of potential neighbors. The first client machine then, proactively constructs and maintains a respective local segment of the second linear communication orbit.