With expansion of cloud-based applications, it is necessarily for business service provider to deal with how to provision resources to server customers. In cloud download, the service provider faces great challenge on...With expansion of cloud-based applications, it is necessarily for business service provider to deal with how to provision resources to server customers. In cloud download, the service provider faces great challenge on determining when to process job and when to notify the user to meet the conflicting objectives, i.e., the service profit maximization and user satisfaction maximization. An economic model was proposed to find job and notification scheduling strategies for making tradeoffs between user satisfaction and profit of the system, in this model, optimization problems are formulated as follows, profit maximization under a satisfaction target and then satisfaction optimization with a profit bound. By solving these optimization problems, the optimal scheduling strategies are obtained under various quality requirements of service. It is demonstrated that the proposed strategy can obtain better performance than the system without the intelligent scheduling strategy.展开更多
Distributed cloud architecture which consists of many cloud computing-storage resources （CCSRs） distributed across a geographic large-area has been widely implemented. It has received significant attention from acad...Distributed cloud architecture which consists of many cloud computing-storage resources （CCSRs） distributed across a geographic large-area has been widely implemented. It has received significant attention from academia. However, little effort has been taken to examine changes in operating cost-structure brought by distributed cloud scheme, or explore how to reap economic benefits from its geo-diversity. To tackle such issue, this paper formulated cost optimizations for cloud platforms based on a generic expense model of distributed cloud, taking into account major components of operating cost. The best deployment schemes were obtained through numerical simulation. The optimal amount of edge CCSRs and their corresponding placements were found to be determined by the ratio among various overhead components. Both model study and numerical simulation shed light on practical deployment of distributed cloud with high cost-effectiveness.展开更多
基金supported by the National Key R&D Program of China(2018YFB0604804)the National Natural Science Foundation of China(21603254,21703127,21703276)+1 种基金the Strategic Program of Coal-based Technology of Shanxi Province(MQ2014-11,MQ2014-10)the Key Research Program of the Chinese Academy of Sciences(KFZD-SW-410)
基金supported in part by the National Science Foundation of China (61271199)
文摘With expansion of cloud-based applications, it is necessarily for business service provider to deal with how to provision resources to server customers. In cloud download, the service provider faces great challenge on determining when to process job and when to notify the user to meet the conflicting objectives, i.e., the service profit maximization and user satisfaction maximization. An economic model was proposed to find job and notification scheduling strategies for making tradeoffs between user satisfaction and profit of the system, in this model, optimization problems are formulated as follows, profit maximization under a satisfaction target and then satisfaction optimization with a profit bound. By solving these optimization problems, the optimal scheduling strategies are obtained under various quality requirements of service. It is demonstrated that the proposed strategy can obtain better performance than the system without the intelligent scheduling strategy.
基金supported by the National Natural Science Foundation of China (61271199)the Fundamental Research Funds in Beijing Jiaotong University (W11JB00630)
文摘Distributed cloud architecture which consists of many cloud computing-storage resources （CCSRs） distributed across a geographic large-area has been widely implemented. It has received significant attention from academia. However, little effort has been taken to examine changes in operating cost-structure brought by distributed cloud scheme, or explore how to reap economic benefits from its geo-diversity. To tackle such issue, this paper formulated cost optimizations for cloud platforms based on a generic expense model of distributed cloud, taking into account major components of operating cost. The best deployment schemes were obtained through numerical simulation. The optimal amount of edge CCSRs and their corresponding placements were found to be determined by the ratio among various overhead components. Both model study and numerical simulation shed light on practical deployment of distributed cloud with high cost-effectiveness.
