Abstract: Methods, systems, and computer readable media for testing a system under test (SUT). An example system includes a distributed processing node emulator configured for emulating a multi-processing node distributed computing system using a processing node communications model and generating intra-processing node communications and inter-processing node communications in the multi-processing node distributed computing system. At least a portion of the inter-processing node communications comprises one or more messages communicated with the SUT by way of a switching fabric. The system includes a test execution manager configured for managing the distributed processing node emulator to execute a pre-defined test case, monitoring the SUT, and outputting a test report based on monitoring the SUT during execution of the pre-defined test case.

Abstract: Methods, systems, and computer readable media for testing a system under test (SUT). An example system includes a distributed processing node emulator configured for emulating a multi-processing node distributed computing system using a processing node communications model and generating intra-processing node communications and inter-processing node communications in the multi-processing node distributed computing system. At least a portion of the inter-processing node communications comprises one or more messages communicated with the SUT by way of a switching fabric. The system includes a test execution manager configured for managing the distributed processing node emulator to execute a pre-defined test case, monitoring the SUT, and outputting a test report based on monitoring the SUT during execution of the pre-defined test case.

Abstract: Methods, systems, and computer readable media for network traffic generation using machine learning. An example method includes collecting first traffic from a production data center environment. At least a portion of the first traffic comprises live computer network traffic transiting the production data center environment. The method includes collecting second traffic from an emulated data center testbed device. At least a portion of the second traffic comprises testbed traffic that transits an emulated data center switching fabric of the emulated data center testbed device. The method includes training a traffic generation inference engine using the first traffic and the second traffic. The method includes generating, using the traffic generation inference engine, test traffic to test or stimulate a network system under test (SUT).

Abstract: One example method occurs at a test system implemented using at least one processor, the method comprising: sending, via an application programming interface (API) and to a first traffic generator, a first instruction for setting a rate of background test packets sent to or via a system under test (SUT) for a test session; sending the background test packets to or via the SUT during the test session; receiving, from at least one feedback entity, feedback indicating at least one traffic metric associated with the background test packets sent to or via the SUT during the test session; generating, using the feedback, a second instruction for adjusting the rate of background test packets sent during the test session; and providing, via the API and to the first traffic generator, the second instruction for adjusting the rate of background test packets sent to or via the SUT during the test session.

Abstract: One example method occurs at a test system implemented using at least one processor, the method comprising: sending, via an application programming interface (API) and to a first traffic generator, a first instruction for setting a rate of background test packets sent to or via a system under test (SUT) for a test session; sending the background test packets to or via the SUT during the test session; receiving, from at least one feedback entity, feedback indicating at least one traffic metric associated with the background test packets sent to or via the SUT during the test session; generating, using the feedback, a second instruction for adjusting the rate of background test packets sent during the test session; and providing, via the API and to the first traffic generator, the second instruction for adjusting the rate of background test packets sent to or via the SUT during the test session.

Abstract: Methods, systems, and computer readable media for network traffic generation using machine learning. An example method includes collecting first traffic from a production data center environment. At least a portion of the first traffic comprises live computer network traffic transiting the production data center environment. The method includes collecting second traffic from an emulated data center testbed device. At least a portion of the second traffic comprises testbed traffic that transits an emulated data center switching fabric of the emulated data center testbed device. The method includes training a traffic generation inference engine using the first traffic and the second traffic. The method includes generating, using the traffic generation inference engine, test traffic to test or stimulate a network system under test (SUT).

Abstract: The subject matter described herein includes methods, systems, and computer readable media for stateless service traffic generation. A method for stateless service traffic generation occurs at a network equipment test system. The method includes generating, at a first transmit port associated with the network equipment test system, a first test packet flow comprising one or more packets, wherein the first test packet flow indicates a match and action instruction for triggering an action at a second transmit port associated with the network equipment test system; sending the first test packet flow toward a node associated with a data center under test (DCUT); receiving the first test packet flow from the node associated with the DCUT; and performing, using the match and action instruction, the action at the second transmit port associated with the network equipment test system.

Abstract: A method for configuring a network service system for performing a network service using AR comprises: at a user device executing an AR cabling application: communicating, to an AR cabling subsystem of the network service system, network service task identification information usable for identifying at least one testing or monitoring case (TMC) definition provisioned within the network service system; receiving, from the AR cabling subsystem of the network service system, cabling instructions based on the network service task identification information, wherein the cabling instructions is for instructing the user to perform a cabling task associated with the at least one TMC definition, wherein the cabling task involves connecting at least one cable to one or more physical ports of a physical resource of the network service system; and providing, via a display and using at least one AR element, the cabling instructions for instructing the user to perform the cabling task.

Abstract: Methods, systems, and computer readable media for network traffic generation using machine learning. An example method includes collecting first traffic from a production data center environment. At least a portion of the first traffic comprises live computer network traffic transiting the production data center environment. The method includes collecting second traffic from an emulated data center testbed device. At least a portion of the second traffic comprises testbed traffic that transits an emulated data center switching fabric of the emulated data center testbed device. The method includes training a traffic generation inference engine using the first traffic and the second traffic. The method includes generating, using the traffic generation inference engine, test traffic to test or stimulate a network system under test (SUT).

Abstract: One method occurs at a test controller of a network test system implemented using at least one processor.

Abstract: One method occurs at an impairment test system.

Abstract: One method occurs at a test controller of a network test system implemented using at least one processor.

Abstract: According to one method, the method occurs at a test system implemented using at least one processor. The method includes receiving test configuration information associated with a test session for configuring a test infrastructure connecting at least one test application and a system under test (SUT), wherein the test infrastructure includes at least two CTI devices that are dynamically configurable to perform one or more test related functions; configuring, using test configuration information, the test infrastructure to handle traffic for the test session; initiating the test session, wherein the test session involves using the at least two CTI devices and the at least one test application to test the SUT; and obtaining and reporting test results associated with the test session.

Abstract: A method for configuring a network service system for performing a network service using AR comprises: at a user device executing an AR cabling application: communicating, to an AR cabling subsystem of the network service system, network service task identification information usable for identifying at least one testing or monitoring case (TMC) definition provisioned within the network service system; receiving, from the AR cabling subsystem of the network service system, cabling instructions based on the network service task identification information, wherein the cabling instructions is for instructing the user to perform a cabling task associated with the at least one TMC definition, wherein the cabling task involves connecting at least one cable to one or more physical ports of a physical resource of the network service system; and providing, via a display and using at least one AR element, the cabling instructions for instructing the user to perform the cabling task.

Abstract: The subject matter described herein includes methods, systems, and computer readable media for stateless service traffic generation. A method for stateless service traffic generation occurs at a network equipment test system. The method includes generating, at a first transmit port associated with the network equipment test system, a first test packet flow comprising one or more packets, wherein the first test packet flow indicates a match and action instruction for triggering an action at a second transmit port associated with the network equipment test system; sending the first test packet flow toward a node associated with a data center under test (DCUT); receiving the first test packet flow from the node associated with the DCUT; and performing, using the match and action instruction, the action at the second transmit port associated with the network equipment test system.

Abstract: A method for dynamic firewall configuration for accessing service hosted in virtual networks includes monitoring, in a virtual network, changes in an Internet protocol (IP) address of a service hosted in a virtual network. The method further includes detecting a change the IP address of the service hosted in the virtual network. The method further includes communicating notification of the change in IP address to a firewall policy management interface. The method further includes, automatically configuring a firewall to allow access to the service hosted in the virtual network.

Abstract: Methods, systems, and computer readable media for providing intent-driven microapps for execution on communications network testing devices. A method includes receiving a configuration definition specifying a user-declared intent for testing a communications network. The method includes accessing a catalog of intents and determining, based on one or more entries in the catalog of intents matching the configuration definition specifying the user-declared intent, one or more applications from a repository of network testing or visibility applications and at least one configuration file. The method includes installing the one or more applications on a network testing device and configuring the one or more applications using the configuration file, causing the network testing device to test the communications network and to fulfill the user-declared intent specified in the configuration definition.

Abstract: A method for dynamic firewall configuration for accessing service hosted in virtual networks includes monitoring, in a virtual network, changes in an Internet protocol (IP) address of a service hosted in a virtual network. The method further includes detecting a change the IP address of the service hosted in the virtual network. The method further includes communicating notification of the change in IP address to a firewall policy management interface. The method further includes, automatically configuring a firewall to allow access to the service hosted in the virtual network.

Abstract: A method and system for intelligently directing a search of a peer-to-peer network, in which a user performing a search is assisted in choosing a host which is likely to return fast, favorable results to the user. A host monitor monitors the peer-to-peer network and collects data on various characteristics of the hosts which make up the network. Thereafter, a host selector ranks the hosts using the data, and passes this information to the user. The user then selects one or more of the highly-ranked hosts as an entry point into the network. Additionally, a cache may collect a list of hosts based on the content on the hosts. In this way, a user may choose to connect to a host which is known to contain information relevant to the user's search. The host selector may be used to select from among the hosts listed in the cache.

Abstract: A method and system for intelligently directing a search of a peer-to-peer network, in which a user performing a search is assisted in choosing a host which is likely to return fast, favorable results to the user. A host monitor monitors the peer-to-peer network and collects data on various characteristics of the hosts which make up the network. Thereafter, a host selector ranks the hosts using the data, and passes this information to the user. The user then selects one or more of the highly-ranked hosts as an entry point into the network. Additionally, a cache may collect a list of hosts based on the content on the hosts. In this way, a user may choose to connect to a host which is known to contain information relevant to the user's search. The host selector may be used to select from among the hosts listed in the cache.