发明申请
- 专利标题: SERVICE ALLOCATION SELECTION METHOD AND SERVICE ALLOCATION SELECTION PROGRAM
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申请号: US17429530申请日: 2020-02-14
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公开(公告)号: US20220109732A1公开(公告)日: 2022-04-07
- 发明人: Misao KATAOKA , Hirofumi NOGUCHI , Takuma ISODA , Yoji YAMATO
- 申请人: Nippon Telegraph and Telephone Corporation
- 申请人地址: JP Tokyo
- 专利权人: Nippon Telegraph and Telephone Corporation
- 当前专利权人: Nippon Telegraph and Telephone Corporation
- 当前专利权人地址: JP Tokyo
- 优先权: JP2019-028789 20190220
- 国际申请: PCT/JP2020/005688 WO 20200214
- 主分类号: H04L67/51
- IPC分类号: H04L67/51 ; H04L67/10
摘要:
When selecting a combination of application software, a computer, and a device in executing various services, even in a situation in which an environment greatly varies, the probability to achieve the purpose of the service is increased to shorten the duration time required to achieve the purpose of the service.
Data effectiveness expectation value J(x, z) regarding a combination of a specific application x and a specific device z on a communication network is calculated, an evaluation value F(x, y, z) including the data effectiveness expectation value and a specific computer y as parameters is calculated, and an appropriate combination (x, y, z) is selected based on the result. The data effectiveness expectation value is calculated from actual record data. The data effectiveness expectation value is calculated by weighting old data and new data. The data effectiveness expectation value is calculated by using actual record values of other applications similar to the specific application x.
Data effectiveness expectation value J(x, z) regarding a combination of a specific application x and a specific device z on a communication network is calculated, an evaluation value F(x, y, z) including the data effectiveness expectation value and a specific computer y as parameters is calculated, and an appropriate combination (x, y, z) is selected based on the result. The data effectiveness expectation value is calculated from actual record data. The data effectiveness expectation value is calculated by weighting old data and new data. The data effectiveness expectation value is calculated by using actual record values of other applications similar to the specific application x.
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