基于個人計算機的智能家居邊緣計算系統(tǒng)
發(fā)布時間:2018-11-06 19:52
【摘要】:考慮邊緣計算的作用與智能家居的需求,以節(jié)約計算資源及提高計算資源利用率為前提,將邊緣計算應用于智能家居環(huán)境,基于個人計算機平臺構建智能家居邊緣計算系統(tǒng)。利用現有的虛擬化、容器等技術將多種云服務匯聚到個人計算機平臺,形成本地的輔助計算單元,為用戶提供邊緣計算服務。通過服務管理程序與智能網關的協(xié)同工作,設計節(jié)能調度算法,實現系統(tǒng)節(jié)能管理。測試結果表明,在計算資源有限的情況下,該系統(tǒng)相比單純使用云計算系統(tǒng)可提供更高的服務質量及更好的擴展性,且易于部署和管理。
[Abstract]:Considering the role of edge computing and the demand of smart home, the edge computing is applied to the environment of smart home on the premise of saving computing resources and improving the utilization rate of computing resources, and the edge computing system of intelligent home is constructed based on personal computer platform. By using the existing virtualization, container and other technologies, various cloud services are converged to personal computer platforms to form local auxiliary computing units to provide edge computing services for users. Through the cooperation of service management program and intelligent gateway, the energy saving scheduling algorithm is designed to realize the energy saving management of the system. The test results show that the system can provide higher quality of service, better scalability and easier deployment and management than using cloud computing system in the case of limited computing resources.
【作者單位】: 上海交通大學計算機科學與工程系;
【基金】:國家自然科學基金(61202026,61332001,61502302)
【分類號】:TN929.5;TP391.44;TU855
[Abstract]:Considering the role of edge computing and the demand of smart home, the edge computing is applied to the environment of smart home on the premise of saving computing resources and improving the utilization rate of computing resources, and the edge computing system of intelligent home is constructed based on personal computer platform. By using the existing virtualization, container and other technologies, various cloud services are converged to personal computer platforms to form local auxiliary computing units to provide edge computing services for users. Through the cooperation of service management program and intelligent gateway, the energy saving scheduling algorithm is designed to realize the energy saving management of the system. The test results show that the system can provide higher quality of service, better scalability and easier deployment and management than using cloud computing system in the case of limited computing resources.
【作者單位】: 上海交通大學計算機科學與工程系;
【基金】:國家自然科學基金(61202026,61332001,61502302)
【分類號】:TN929.5;TP391.44;TU855
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