Abstract: Techniques for in-situ passive performance measurement are described. In one embodiment, a method includes receiving a data packet at a first network element, determining whether measurement information is to be collected for the data packet, providing one or more measurement fields for the data packet based on a determination that measurement information is to be collected for the data packet in which at least one measurement field identifies a measurement type, and forwarding the data packet to a second network element. The method further includes determining, by the second network element, the measurement type for the data packet, and performing one or more actions based on the measurement type.

Abstract: Techniques for in-situ passive performance measurement are described. In one embodiment, a method includes receiving a data packet at a first network element, determining whether measurement information is to be collected for the data packet, providing one or more measurement fields for the data packet based on a determination that measurement information is to be collected for the data packet in which at least one measurement field identifies a measurement type, and forwarding the data packet to a second network element. The method further includes determining, by the second network element, the measurement type for the data packet, and performing one or more actions based on the measurement type.

Abstract: Techniques for in-situ passive performance measurement are described. In one embodiment, a method includes receiving a data packet at a first network element, determining whether measurement information is to be collected for the data packet, providing one or more measurement fields for the data packet based on a determination that measurement information is to be collected for the data packet in which at least one measurement field identifies a measurement type, and forwarding the data packet to a second network element. The method further includes determining, by the second network element, the measurement type for the data packet, and performing one or more actions based on the measurement type.

Abstract: The present technology is directed to a scalable solution for end-to-end performance delay measurement for Segment Routing Policies on both SR-MPLS and SRv6 data planes. The scalability of the solution stems from the use of distributed PM sessions along SR Policy ECMP paths. This is achieved by dividing the SR policy into smaller sections comprised of SPT trees or sub-paths, each of which is associated with a Root-Node. Downstream SID List TLVs may be used in Probe query messages for signaling SPT information to the Root-Nodes Alternatively, this SPT signaling may be accomplished by using a centralized controller. Root-Nodes are responsible for dynamically creating PM sessions and measuring delay metrics for their associated SPT tree section. The root-nodes then send the delay metrics for their local section to an ingress PE node or to a centralized controller using delay metric TLV field of the response message.

Abstract: Presented herein is an “In-situ OAM” (IOAM) mechanism that uses a Segment Routing-Multiprotocol Label Switching (SR-MPLS) IOAM segment identifier that can selectively collect IOAM data from “target” network nodes along a data packet path. In one embodiment, a method includes receiving, at a first network node in the SR-MPLS network, a data packet that includes an MPLS label stack comprising a plurality of segment identifiers (SIDs) associated with a plurality of network nodes. The MPLS label stack includes a first SID associated with the first network node. The method includes determining whether the first SID is an IOAM SID or a regular SID. Upon determining that the first SID is the IOAM SID, the method includes implementing an IOAM function at the first network node. Upon determining that the first SID is the regular SID, the method includes processing the data packet without implementing an IOAM function.

Abstract: Presented herein is an “In-situ OAM” (IOAM) mechanism that uses a Segment Routing-Multiprotocol Label Switching (SR-MPLS) IOAM segment identifier that can selectively collect IOAM data from “target” network nodes along a data packet path. In one embodiment, a method includes receiving, at a first network node in the SR-MPLS network, a data packet that includes an MPLS label stack comprising a plurality of segment identifiers (SIDs) associated with a plurality of network nodes. The MPLS label stack includes a first SID associated with the first network node. The method includes determining whether the first SID is an IOAM SID or a regular SID. Upon determining that the first SID is the IOAM SID, the method includes implementing an IOAM function at the first network node. Upon determining that the first SID is the regular SID, the method includes processing the data packet without implementing an IOAM function.

Abstract: Techniques for in-situ passive performance measurement are described. In one embodiment, a method includes receiving a data packet at a first network element, determining whether measurement information is to be collected for the data packet, providing one or more measurement fields for the data packet based on a determination that measurement information is to be collected for the data packet in which at least one measurement field identifies a measurement type, and forwarding the data packet to a second network element. The method further includes determining, by the second network element, the measurement type for the data packet, and performing one or more actions based on the measurement type.

Abstract: Techniques for in-situ passive performance measurement are described. In one embodiment, a method includes receiving a data packet at a first network element, determining whether measurement information is to be collected for the data packet, providing one or more measurement fields for the data packet based on a determination that measurement information is to be collected for the data packet in which at least one measurement field identifies a measurement type, and forwarding the data packet to a second network element. The method further includes determining, by the second network element, the measurement type for the data packet, and performing one or more actions based on the measurement type.

Abstract: The present technology is directed to a scalable solution for end-to-end performance delay measurement for Segment Routing Policies on both SR-MPLS and SRv6 data planes. The scalability of the solution stems from the use of distributed PM sessions along SR Policy ECMP paths. This is achieved by dividing the SR policy into smaller sections comprised of SPT trees or sub-paths, each of which is associated with a Root-Node. Downstream SID List TLVs may be used in Probe query messages for signaling SPT information to the Root-Nodes Alternatively, this SPT signaling may be accomplished by using a centralized controller. Root-Nodes are responsible for dynamically creating PM sessions and measuring delay metrics for their associated SPT tree section. The root-nodes then send the delay metrics for their local section to an ingress PE node or to a centralized controller using delay metric TLV field of the response message.

Abstract: The present technology is directed to a scalable solution for end-to-end performance delay measurement for Segment Routing Policies on both SR-MPLS and SRv6 data planes. The scalability of the solution stems from the use of distributed PM sessions along SR Policy ECMP paths. This is achieved by dividing the SR policy into smaller sections comprised of SPT trees or sub-paths, each of which is associated with a Root-Node. Downstream SID List TLVs may be used in Probe query messages for signaling SPT information to the Root-Nodes Alternatively, this SPT signaling may be accomplished by using a centralized controller. Root-Nodes are responsible for dynamically creating PM sessions and measuring delay metrics for their associated SPT tree section. The root-nodes then send the delay metrics for their local section to an ingress PE node or to a centralized controller using delay metric TLV field of the response message.

Abstract: Presented herein is an “In-situ OAM” (IOAM) mechanism that uses a Segment Routing-Multiprotocol Label Switching (SR-MPLS) IOAM segment identifier that can selectively collect IOAM data from “target” network nodes along a data packet path. In one embodiment, a method includes receiving, at a first network node in the SR-MPLS network, a data packet that includes an MPLS label stack comprising a plurality of segment identifiers (SIDs) associated with a plurality of network nodes. The MPLS label stack includes a first SID associated with the first network node. The method includes determining whether the first SID is an IOAM SID or a regular SID. Upon determining that the first SID is the IOAM SID, the method includes implementing an IOAM function at the first network node. Upon determining that the first SID is the regular SID, the method includes processing the data packet without implementing an IOAM function.

Abstract: Techniques for in-situ passive performance measurement are described. In one embodiment, a method includes receiving a data packet at a first network element, determining whether measurement information is to be collected for the data packet, providing one or more measurement fields for the data packet based on a determination that measurement information is to be collected for the data packet in which at least one measurement field identifies a measurement type, and forwarding the data packet to a second network element. The method further includes determining, by the second network element, the measurement type for the data packet, and performing one or more actions based on the measurement type.

Abstract: The present technology is directed to a scalable solution for end-to-end performance delay measurement for Segment Routing Policies on both SR-MPLS and SRv6 data planes. The scalability of the solution stems from the use of distributed PM sessions along SR Policy ECMP paths. This is achieved by dividing the SR policy into smaller sections comprised of SPT trees or sub-paths, each of which is associated with a Root-Node. Downstream SID List TLVs may be used in Probe query messages for signaling SPT information to the Root-Nodes Alternatively, this SPT signaling may be accomplished by using a centralized controller. Root-Nodes are responsible for dynamically creating PM sessions and measuring delay metrics for their associated SPT tree section. The root-nodes then send the delay metrics for their local section to an ingress PE node or to a centralized controller using delay metric TLV field of the response message.

Abstract: The present technology is directed to a scalable solution for end-to-end performance delay measurement for Segment Routing Policies on both SR-MPLS and SRv6 data planes. The scalability of the solution stems from the use of distributed PM sessions along SR Policy ECMP paths. This is achieved by dividing the SR policy into smaller sections comprised of SPT trees or sub-paths, each of which is associated with a Root-Node. Downstream SID List TLVs may be used in Probe query messages for signaling SPT information to the Root-Nodes Alternatively, this SPT signaling may be accomplished by using a centralized controller. Root-Nodes are responsible for dynamically creating PM sessions and measuring delay metrics for their associated SPT tree section. The root-nodes then send the delay metrics for their local section to an ingress PE node or to a centralized controller using delay metric TLV field of the response message.