Jun 15, 2018 · Results showed that our decentralized algorithm places most popular services closer to users, improving network usage and service latency of the ...
Jan 23, 2024 · A decentralized optimization policy for service placement in fog computing is presented. The optimization is addressed to place most popular services as closer ...
Oct 22, 2024 · Results showed that our decentralized algorithm places most popular services closer to users, improving network usage and service latency of the ...
Results showed that our decentralized algorithm places most popular services closer to users, improving network usage and service latency of the most requested ...
Results showed that the decentralized algorithm places most popular services closer to users, improving network usage and service latency of the most ...
Apr 7, 2018 · Results showed that our decentralized algorithm places most popular services closer to users, improving network usage and service latency of the ...
Sep 22, 2022 · This article proposes reinforcement optimization for a decentralized service placement policy, which attempts to mitigate some of the drawbacks of existing ...
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This paper proposes a 3-partite deadline-aware applications' services placement optimization model in Fog environment which optimizes total power consumption.
A lightweight decentralized service placement policy for performance optimization in fog computing-[2019] · Evaluation and efficiency comparison of ...
Juiz, “A lightweight decentralized service placement policy for performance optimization in fog com- puting,” Journal of Ambient Intelligence and Humanized ...