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Hi Carlos,

> The intent is simply to ensure that the evaluation captures the net =
system-level impact (i.e., whether the mechanisms enable sufficient =
consolidation to reduce overall energy consumption relative to a =
baseline.) In other words, the considering both sides: the additional =
overhead introduced, and the potential energy savings from traffic =
consolidation and resource idling. How is the simulation / premise / =
framework evaluating net >0 or <0?


Thank you for the clarification, but I still cannot answer.  It depends.

If the network is running at 98% of capacity throughout, then there is =
nothing that can be done.  No savings, so no benefit.

If the network is running at 10% of capacity, then it=E2=80=99s very =
likely that 70-80% of the network can be shut down (depending on the =
operator's redundancy requirements),

What we have seen is that our simulations have shown excellent benefits, =
but the exact number vary greatly, again depending on the traffic =
demand, topology, hardware, etc.

I get that you want an easy answer.  I=E2=80=99m sorry to say that as =
with many things in life, there is none.

This technology will help networks that have substantial variance in =
their traffic demand, and not at all with networks that run continually =
saturated.  And in between, it will give some benefit, but your mileage =
may vary. Whether it=E2=80=99s enough to matter depends on your personal =
situation and the price of power.

Tony

