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Like other Internet protocols, deployment in live scenarios showed its vulnerability to flooding attacks.
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The effort of protocol deployment is hardly affordable.
For each protocol, deployment, and measurement type, we calculated the absolute error.
Although the MRT approach benefits protocol deployment, it has two deficits: binding cache size and maintenance.
(δ=0.95,c p =1,b peak=8,b off-peak=6,d n =1,p th=0.5) Fig. 9 Real-time energy prices with protocol deployment.
The first subplot illustrates the consumers' energy consumption scheduling actions with and without the proposed protocol deployment.
However, this approach demands that all the edge routers on the Internet support MRT, resulting in protocol deployment difficulties.
Although the signaling cost of the MRT approach is quite close to the ROMIP approach, the MRT approach gains the protocol deployment benefit.
(N=8,δ=0.99,c p =0.2,d=1,p th=0.5,b peak=2,b off-peak=1) Fig. 8 Daily energy scheduling for each consumer with and without protocol deployment.
Although the HA-initiated schemes in [8] can completely overcome the protocol deployment limitation, those three schemes may not work well because of security concerns.
However, even if we ask all the edge routers in the Internet to support the MRT, the approach still results in protocol deployment limitation.
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