Abstract: A method for using a programmable processing pipeline to implement an application replay sequence test or a scalable CPS generation test includes obtaining a sequence replay definition code package from a sequence relay definition storage element and converting the sequence replay definition code package into a hardware configuration image. The method further includes provisioning the hardware configuration image on at least one programmable processing pipeline device, causing the at least one programmable processing pipeline device to implement a test session connection initiator and a test session receiver, and utilizing the hardware configuration image to establish a first test session connection from the test session connection initiator and the test session connection receiver through a system under test (SUT).

Abstract: Methods, systems, and computer readable media for testing a system under test (SUT). An example system includes a fabric emulation device configured for emulating a data center switching fabric using emulated switch queues and for emulating one or more congestion control mechanisms for network traffic on the data center switching fabric from the SUT. The system includes a test execution manager configured for: executing a test case causing the fabric emulation device to invoke at least a first congestion control mechanism; logging one or more metrics characterizing the first congestion control mechanism in response to invoking the first congestion control mechanism, wherein logging the one or more metrics comprises logging at least one performance metric from at least one emulated switch queue of the fabric emulation device; and outputting a test report based on logging the one or more metrics.

Abstract: One example method occurs at a switching fabric emulator providing an emulated switching fabric comprising emulated switching elements and associated packet queues, wherein the switching fabric emulator comprises at least one switching application-specific integrated circuit (ASIC) or programmable switching chip, the method comprising: during a test session: receiving, via at least a first physical port of the switching fabric emulator, packets from or to a system under test (SUT); detecting an occurrence of a dropped packet that happens while the packet is traversing the emulated switching fabric; encapsulating dropped packet data associated with the dropped packet, wherein the encapsulated dropped packet data indicates an emulated switching element or packet queue contributing to the occurrence of the dropped packet; and providing the encapsulated dropped packet data to an analyzer.

Abstract: One example method occurs in a test environment comprising network emulation platforms (NEPs), wherein the NEPs implement an emulated switching fabric comprising emulated switches, wherein the NEPs are connected via at least one physical cable. The method includes determining, using a network test system controller, at least one routing path group for communications between the emulated switches, wherein each of the at least one routing path group includes or uses virtual links utilizing one or more lanes of the at least one physical cable; configuring, using the network test system controller, physical ports of the NEPs to assign traffic during a test session to one of the virtual links based on a routing path group identifier associated with the traffic; and initiating, using the network test system controller, the test session involving the test environment.

Abstract: Methods, systems, and computer readable media for testing a network system under test (SUT). An example system includes physical application-specific integrated circuit (ASIC) switching resources and a switching environment emulator configured for emulating, using the physical ASIC switching resources, data center switching fabric comprising a plurality of data center fabric switching elements. The system includes a first control plane daemon implemented on at least one processor; the first control plane daemon is configured for processing control plane messages for a first data center fabric switching element. The system includes a first port for communicating at least a first control plane message for processing by the first control plane daemon.

Abstract: One example method occurs at a switching fabric emulator providing an emulated switching fabric comprising emulated switching elements and associated packet queues, wherein the switching fabric emulator comprises at least one switching application-specific integrated circuit (ASIC) or programmable switching chip, the method comprising: during a test session: receiving, via at least a first physical port of the switching fabric emulator, packets from or to a system under test (SUT); detecting an occurrence of a dropped packet that happens while the packet is traversing the emulated switching fabric; encapsulating dropped packet data associated with the dropped packet, wherein the encapsulated dropped packet data indicates an emulated switching element or packet queue contributing to the occurrence of the dropped packet; and providing the encapsulated dropped packet data to an analyzer.

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: Methods, systems, and computer readable media for testing a network system under test (SUT). An example system includes physical application-specific integrated circuit (ASIC) switching resources and a switching environment emulator configured for emulating, using the physical ASIC switching resources, data center switching fabric comprising a plurality of data center fabric switching elements. The system includes a first control plane daemon implemented on at least one processor; the first control plane daemon is configured for processing control plane messages for a first data center fabric switching element. The system includes a first port for communicating at least a first control plane message for processing by the first control plane daemon.

Abstract: The subject matter described herein includes methods, systems, and computer readable media for augmented reality navigation in network test environments. A method for augmented reality navigation in network test environments includes at a user device of a user, wherein the user device is executing an augmented reality (AR) navigation application: communicating, to an AR navigation system, user location information and resource identification information obtained from a visual code or a user interface, wherein the resource identification information indicates a physical network testing or monitoring resource in a real-world test environment; receiving, from the AR navigation system, navigation information for navigating the user to the physical network testing or monitoring resource; and providing, via a display, the navigation information for navigating the user to the physical network testing or monitoring resource.

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: Methods, systems, and computer readable media for recycling background traffic in a test environment are disclosed. One example method occurs at a test system implemented using at least one processor, the method comprising: generating background packets usable as background traffic in a data center switching fabric used in delivering test traffic to a system under test (SUT); sending, from a first packet source of the test system and via the data center switching fabric, the background packets toward a first packet destination of the test system; receiving, by the first packet destination, at least some of the background packets; and resending, from a re-entry packet source of the test system and via the data center switching fabric, at least one received background packet toward the first packet destination or a second packet destination.

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 an impairment 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: A method for providing for searching a test objects API specification and defined object instances includes providing a test objects API browser for invoking a search engine to search a test objects API specification and current test configuration data of a network equipment test device. The method further includes receiving, via the test objects API browser search criteria for searching the hierarchical test objects API specification and the current test configuration data. The method further includes searching plural levels of the hierarchical test objects API specification and the current test configuration data using the search criteria. The method further includes outputting, to a user, the indication of test object definitions and defined instances of the test objects that match the search criteria.