OSPF Link-State Refresh Time Optimization

OSPFv2 Link-State Refresh Time Optimization

Question

Which OSPF feature groups LSAs with similar link-state refresh times to allow OSPFv2 to pack multiple LSAs into an OSPFv2 update message?

Answers

Explanations

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A. B. C. D.

C.

The correct answer is B. LSA compression.

Link State Advertisements (LSAs) are used by OSPF routers to describe the topology of the network. OSPF routers send LSAs to their neighbors to advertise information about their directly connected links. As the network grows, the number of LSAs also increases, leading to increased OSPF traffic.

OSPFv2 supports LSA compression, a feature that groups LSAs with similar link-state refresh times and packs them into a single OSPFv2 update message. This reduces the amount of OSPF traffic on the network and improves OSPF convergence times.

When an LSA is generated, it is assigned a link-state refresh time, which indicates the amount of time before the LSA needs to be refreshed. OSPFv2 uses this refresh time to determine when to regenerate an LSA. LSAs with similar refresh times are grouped together, and multiple LSAs are packed into a single OSPFv2 update message. This reduces the number of OSPFv2 update messages on the network and improves network performance.

LSA compression is a configurable OSPF feature and can be enabled on a per-interface basis. It is recommended to enable LSA compression on all OSPF-enabled interfaces to improve network performance.

Option A, LSA throttling, is an OSPF feature that limits the number of LSAs that can be flooded to a neighbor within a certain time period. LSA throttling is used to prevent network congestion and reduce the amount of OSPF traffic on the network.

Option C, LSA group pacing, is not an OSPF feature.

Option D, SPF optimization, is an OSPF feature that reduces the time it takes to calculate the Shortest Path First (SPF) tree. SPF optimization is achieved by limiting the scope of the SPF calculation and by reducing the amount of redundant calculations. SPF optimization improves network convergence times and reduces the amount of CPU resources used by the router.