H12-311_V3.0 · Question #162
The Int-Serv model provides end-to-end absolute QoS guarantee for users, which of the following reason for the failure of large-scale commercial use?
The correct answer is C. Poor scalability. Int-Serv requires every router along an end-to-end path to maintain per-flow reservation state using RSVP signaling. As the number of active flows across a large network grows into the millions, routers must store and refresh state for each individual flow, which exhausts…
Question
The Int-Serv model provides end-to-end absolute QoS guarantee for users, which of the following reason for the failure of large-scale commercial use?
Options
- ABandwidth reservation is limited
- BLow forwarding efficiency
- CPoor scalability
- DNot conducive to traffic regulation
How the community answered
(63 responses)- A3% (2)
- B11% (7)
- C79% (50)
- D6% (4)
Explanation
Int-Serv requires every router along an end-to-end path to maintain per-flow reservation state using RSVP signaling. As the number of active flows across a large network grows into the millions, routers must store and refresh state for each individual flow, which exhausts memory and processing capacity - this is the fundamental scalability failure that makes large-scale deployment impractical. Option A is incorrect because Int-Serv is specifically designed to perform bandwidth reservation; the protocol's weakness is not a cap on reservable bandwidth but the overhead of managing those reservations at scale. Option B is incorrect because packet forwarding itself is not inherently slow in Int-Serv; the bottleneck is the control-plane state management, not the data-plane forwarding. Option D is incorrect because Int-Serv actually includes traffic policing mechanisms (such as token bucket enforcement) and is designed to work with traffic regulation, so this is not its weakness.
Memory tip: Think "per-flow state = scale fails." Int-Serv treats every flow individually at every hop, so the more flows, the more state every router must track - the internet has too many flows for this to work at scale.
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