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論文題目:A Survey on Edge Computing Systems and Tools

論文摘要:在物聯網和5G通信的願景驅動下,邊緣計算係統在網絡邊緣集成了計算,存儲和網絡資源,以提供計算基礎架構,從而使開發人員能夠快速開發和部署邊緣應用程序。 如今,邊緣計算係統已在業界和學術界引起了廣泛關注。 為了探索新的研究機會並幫助用戶選擇適合特定應用的邊緣計算係統,本調查報告對現有邊緣計算係統進行了全麵概述,並介紹了代表性的項目。 根據開放源代碼工具的適用性進行了比較。 最後,我們重點介紹了邊緣計算係統的能源效率和深度學習優化。 本次調查還研究了用於分析和設計邊緣計算係統的未解決問題。

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A general theory of online power control for discrete-time battery limited energy harvesting communications is developed, which leads to, among other things, an explicit characterization of a maximin optimal policy. This policy only requires the knowledge of the (effective) mean of the energy arrival process and maximizes the minimum asymptotic expected average reward (with the minimization taken over all energy arrival distributions of a given (effective) mean). Moreover, it is universally near optimal and has a strictly better worst-case performance as well as a strictly improved lower multiplicative factor in comparison with the fixed fraction policy proposed by Shaviv and \"{O}zg\"{u}r when the objective is to maximize the throughput over an additive white Gaussian noise channel. The competitiveness of this maximin optimal policy is also demonstrated via numerical examples.

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