Resource allocation method, distributed computing system and equipment
The embodiment of the invention provides a resource allocation method, a distributed computing system and equipment. When resource allocation is carried out, a nonlinear target optimization model can be firstly constructed based on a resource allocation optimization problem, and in the process of it...
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| creator | SHEN WENBO JIAN DAOHONG |
| description | The embodiment of the invention provides a resource allocation method, a distributed computing system and equipment. When resource allocation is carried out, a nonlinear target optimization model can be firstly constructed based on a resource allocation optimization problem, and in the process of iteratively solving the target optimization model, each round of iteration determines the gradient of each decision variable based on the optimization result of each decision variable determined by the previous round of iteration; and then converting the nonlinear target optimization model into a linear model by using gradient, and then solving the linear model. Therefore, when an ADMM algorithm or a similar algorithm is used for solving the nonlinear optimization model constructed based on the resource allocation problem, the nonlinear optimization model does not need to be directly solved after being converted into a linear model from the business perspective before solving, and the precision of a solving result ca |
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When resource allocation is carried out, a nonlinear target optimization model can be firstly constructed based on a resource allocation optimization problem, and in the process of iteratively solving the target optimization model, each round of iteration determines the gradient of each decision variable based on the optimization result of each decision variable determined by the previous round of iteration; and then converting the nonlinear target optimization model into a linear model by using gradient, and then solving the linear model. 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When resource allocation is carried out, a nonlinear target optimization model can be firstly constructed based on a resource allocation optimization problem, and in the process of iteratively solving the target optimization model, each round of iteration determines the gradient of each decision variable based on the optimization result of each decision variable determined by the previous round of iteration; and then converting the nonlinear target optimization model into a linear model by using gradient, and then solving the linear model. Therefore, when an ADMM algorithm or a similar algorithm is used for solving the nonlinear optimization model constructed based on the resource allocation problem, the nonlinear optimization model does not need to be directly solved after being converted into a linear model from the business perspective before solving, and the precision of a solving result ca</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyj0KAjEQBtBtLES9w9grGPzBVhYXKwuxX2LyrQaSTNyZFN7exgNYveZNm-4G4To6kI2RndXAmRL0xX5FPoiO4VEVnhynUjXkJ8lHFIls9oR3DSUh67yZDDYKFj9nzbI739vLGoV7SLEOGdq3V2N2-6Mxh81p-8_5AogRNEc</recordid><startdate>20220603</startdate><enddate>20220603</enddate><creator>SHEN WENBO</creator><creator>JIAN DAOHONG</creator><scope>EVB</scope></search><sort><creationdate>20220603</creationdate><title>Resource allocation method, distributed computing system and equipment</title><author>SHEN WENBO ; JIAN DAOHONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114581160A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>SHEN WENBO</creatorcontrib><creatorcontrib>JIAN DAOHONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SHEN WENBO</au><au>JIAN DAOHONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Resource allocation method, distributed computing system and equipment</title><date>2022-06-03</date><risdate>2022</risdate><abstract>The embodiment of the invention provides a resource allocation method, a distributed computing system and equipment. When resource allocation is carried out, a nonlinear target optimization model can be firstly constructed based on a resource allocation optimization problem, and in the process of iteratively solving the target optimization model, each round of iteration determines the gradient of each decision variable based on the optimization result of each decision variable determined by the previous round of iteration; and then converting the nonlinear target optimization model into a linear model by using gradient, and then solving the linear model. Therefore, when an ADMM algorithm or a similar algorithm is used for solving the nonlinear optimization model constructed based on the resource allocation problem, the nonlinear optimization model does not need to be directly solved after being converted into a linear model from the business perspective before solving, and the precision of a solving result ca</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Resource allocation method, distributed computing system and equipment |
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