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公开(公告)号：US12086646B2
公开(公告)日：2024-09-10
申请号：US17674578
申请日：2022-02-17
申请人： Adobe Inc.
发明人： Atanu R. Sinha , Shiv Kumar Saini , Sapthotharan Krishnan Nair , Saarthak Sandip Marathe , Manupriya Gupta , Brahmbhatt Paresh Anand , Ayush Chauhan
CPC分类号： G06F9/5055 , H04L47/826 , H04L67/10
摘要： In implementations of systems for cloud-based resource allocation using meters, a computing device implements a resource system to receive resource data describing an amount of cloud-based resources reserved for consumption by client devices during a period of time and a total amount of cloud-based resources consumed by the client devices during the period of time. The resource system determines a consumption distribution using each meter included in a set of meters. Each of the consumption distributions allocates a portion of the total amount of the cloud-based resources consumed to each client device of the client devices. A particular meter used to determine a particular consumption distribution is selected based on a Kendall Tau coefficient of the particular consumption distribution. An amount of cloud-based resources to allocate for a future period of time is estimated using the particular meter and an approximate Shapley value.
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公开(公告)号：US20230259403A1
公开(公告)日：2023-08-17
申请号：US17674578
申请日：2022-02-17
申请人： Adobe Inc.
发明人： Atanu R. Sinha , Shiv Kumar Saini , Sapthotharan Krishnan Nair , Saarthak Sandip Marathe , Manupriya Gupta , Brahmbhatt Paresh Anand , Ayush Chauhan
CPC分类号： G06F9/5055 , H04L67/10 , H04L47/826
摘要： In implementations of systems for cloud-based resource allocation using meters, a computing device implements a resource system to receive resource data describing an amount of cloud-based resources reserved for consumption by client devices during a period of time and a total amount of cloud-based resources consumed by the client devices during the period of time. The resource system determines a consumption distribution using each meter included in a set of meters. Each of the consumption distributions allocates a portion of the total amount of the cloud-based resources consumed to each client device of the client devices. A particular meter used to determine a particular consumption distribution is selected based on a Kendall Tau coefficient of the particular consumption distribution. An amount of cloud-based resources to allocate for a future period of time is estimated using the particular meter and an approximate Shapley value.
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