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• W2989204089 abstract "Future network based on software-defined networking (SDN) and network function virtualization (NFV) technologies is the main evolution tendency of current Internet, enabling telecommunication service providers (TSPs) to share their virtualized network resources with their contracted users in a flexible and economical manner. One key technical issue is virtualized resources allocation. In order to solve this issue, multiple mapping algorithms have been proposed. However, prior mapping algorithms focus on solving the allocation problem in one centralized underlying substrate network (SN), having the only goal of maximizing the TSPs' mapping revenue. As energy cost accounts for more than half of the total underlying network cost, it is crucial to minimize the total energy cost, while keeping high mapping revenue. In addition, in the real networking environment, multiple geographically distributed SNs, called interdomain networks, coexist. Hence, it is essential to embed each virtual network (VN) service among the interdomain SNs. Based on this, we first propose the formal problem model and the energy cost model. Then, we propose a novel and efficient mapping strategy, labeled EERID. Our EERID is able to map each VN service among interdomain SNs within polynomial time. The experimental results vividly reveal that EERID significantly reduces energy cost by approximately 18% over the existing energy-aware algorithms. At the same time, our EERID achieves higher embedding revenues than the existing energy-aware mapping algorithms, up to 23%." @default.
• W2989204089 created "2019-11-22" @default.
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• W2989204089 date "2020-07-01" @default.
• W2989204089 modified "2023-10-11" @default.
• W2989204089 title "An Efficient Energy Cost and Mapping Revenue Strategy for Interdomain NFV-Enabled Networks" @default.
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• W2989204089 doi "https://doi.org/10.1109/jiot.2019.2950393" @default.
• W2989204089 hasPublicationYear "2020" @default.
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