Abstract: The technology disclosed relates to a method for storing and time-correlating real-time and queryable test results of a test of a device under test (DUT). The method includes initiating the test applied to the DUT to collect real-time data from a multitude of data streams for multiple aspects of the DUT, the collected data including counters and fact-type values, the collected data having imperfectly synchronized time bases and the collected data being collected from different sources asynchronously at different times, specifying a recording time interval for recording the data collected among multiple databases, recording data according to the specified recording time interval, such that each piece of the recorded data is associated with a particular time interval, and at a conclusion of the test, correlating the recorded data with the test configuration data about a test state in the respective time intervals.

Abstract: Disclosed is using service-based controllers to manage test agents and performance of multi-agent tests running on a network, a connection-interrupted agent losing connection to a first controller, calling home after the loss, and being connected to a second controller which, after being connected to the agent, accesses a list of active tests which should be running, directing the agent to stop running tests that are not on the list and receiving from the agent a state report on running tests on the list. Additionally, instantiating and setting states of fresh primary and peer coordination FSMs using the state report from the test agent, establishing coordination interactions with additional controllers of additional test agents that are participating with the connection-interrupted agent in the active tests, and the connection-interrupted agent continuing to conduct active tests and directing results to the second controller without need to tear down and restart the active tests.

Abstract: The technology disclosed relates to a method for storing and time-correlating real-time and queryable test results of a test of a device under test (DUT). The method includes initiating the test applied to the DUT to collect real-time data from a multitude of data streams for multiple aspects of the DUT, the collected data including counters and fact-type values, the collected data having imperfectly synchronized time bases and the collected data being collected from different sources asynchronously at different times, specifying a recording time interval for recording the data collected among multiple databases, recording data according to the specified recording time interval, such that each piece of the recorded data is associated with a particular time interval, and at a conclusion of the test, correlating the recorded data with the test configuration data about a test state in the respective time intervals.

Abstract: The technology disclosed relates to a method for storing and time-correlating real-time and queryable test results of a test of a device under test (DUT). The method includes initiating the test applied to the DUT to collect real-time data from a multitude of data streams for multiple aspects of the DUT, the collected data including counters and fact-type values, the collected data having imperfectly synchronized time bases and the collected data being collected from different sources asynchronously at different times, specifying a recording time interval for recording the data collected among multiple databases, recording data according to the specified recording time interval, such that each piece of the recorded data is associated with a particular time interval, and at a conclusion of the test, correlating the recorded data with the test configuration data about a test state in the respective time intervals.

Abstract: The technology disclosed relates to a method for storing and time-correlating real-time and queryable test results of a test of a device under test (DUT). The method includes initiating the test applied to the DUT to collect real-time data from a multitude of data streams for multiple aspects of the DUT, the collected data including counters and fact-type values, the collected data having imperfectly synchronized time bases and the collected data being collected from different sources asynchronously at different times, specifying a recording time interval for recording the data collected among multiple databases, recording data according to the specified recording time interval, such that each piece of the recorded data is associated with a particular time interval, and at a conclusion of the test, correlating the recorded data with the test configuration data about a test state in the respective time intervals.

Abstract: A utilization test generates the multiple dimensions of resource load on the first computer, the multiple dimensions including at least two of: a processor utilization dimension, a main memory utilization dimension, a mass storage utilization dimension, and a network utilization dimension. The utilization test performs iterations of attempts to generate said each dimension of the resource load on the first computer, in an amount equal to a changeable target utilization of said each dimension of the resource load on the first computer. The utilization test adjusts the adjusted utilization to attempt to correct for inequality between (i) the actual utilization of a particular one of the multiple dimensions of the resource load on the first computer, and (ii) the changeable target utilization of the particular one of the multiple dimensions of the resource load on the first computer.

Abstract: A utilization test generates the multiple dimensions of resource load on the first computer, the multiple dimensions including at least two of: a processor utilization dimension, a main memory utilization dimension, a mass storage utilization dimension, and a network utilization dimension. The utilization test performs iterations of attempts to generate said each dimension of the resource load on the first computer, in an amount equal to a changeable target utilization of said each dimension of the resource load on the first computer. The utilization test adjusts the adjusted utilization to attempt to correct for inequality between (i) the actual utilization of a particular one of the multiple dimensions of the resource load on the first computer, and (ii) the changeable target utilization of the particular one of the multiple dimensions of the resource load on the first computer.

Abstract: A utilization test generates the multiple dimensions of resource load on the first computer, the multiple dimensions including at least two of: a processor utilization dimension, a main memory utilization dimension, a mass storage utilization dimension, and a network utilization dimension. The utilization test performs iterations of attempts to generate said each dimension of the resource load on the first computer, in an amount equal to a changeable target utilization of said each dimension of the resource load on the first computer. The utilization test adjusts the adjusted utilization to attempt to correct for inequality between (i) the actual utilization of a particular one of the multiple dimensions of the resource load on the first computer, and (ii) the changeable target utilization of the particular one of the multiple dimensions of the resource load on the first computer.

Abstract: Methods, apparatuses, data structures, and computer readable media are disclosed that perform emulated processing of packets communicated via a physical port between emulated network devices and real network devices. The emulated processing performs forward equivalence class classification on the packets. The forward equivalence class classification varies with the contents of the packets, and subsequent to the forward equivalence class classification the emulated processing varies with particular successful classifications resulting from the forward equivalence class classification.

Abstract: A utilization test generates the multiple dimensions of resource load on the first computer, the multiple dimensions including at least two of: a processor utilization dimension, a main memory utilization dimension, a mass storage utilization dimension, and a network utilization dimension. The utilization test performs iterations of attempts to generate said each dimension of the resource load on the first computer, in an amount equal to a changeable target utilization of said each dimension of the resource load on the first computer. The utilization test adjusts the adjusted utilization to attempt to correct for inequality between (i) the actual utilization of a particular one of the multiple dimensions of the resource load on the first computer, and (ii) the changeable target utilization of the particular one of the multiple dimensions of the resource load on the first computer.

Abstract: Methods, apparatuses, data structures, and computer readable media are disclosed that represent network devices with encapsulated protocol stacks communicating via a common physical port. The encapsulated protocol stacks include variable combinations of a multiple encapsulation protocols.

Abstract: Methods, apparatuses, data structures, and computer readable media are disclosed that perform emulated processing of packets communicated via a physical port between emulated network devices and real network devices. The emulated processing performs forward equivalence class classification on the packets. The forward equivalence class classification varies with the contents of the packets, and subsequent to the forward equivalence class classification the emulated processing varies with particular successful classifications resulting from the forward equivalence class classification.

Abstract: Methods, apparatuses, data structures, and computer readable media are disclosed that represent network devices with encapsulated protocol stacks communicating via a common physical port. The encapsulated protocol stacks include variable combinations of a multiple encapsulation protocols.