结合基于模型的系统工程(Model-Based Systems Enginearing,MBSE)模式在雷达系统上的推广应用情况,本文介绍系统建模语言(Systems Modeling Language,SysML)模型中需求、行为、架构、仿真等模型的用途,详述雷达系统模型重用库的规划和...结合基于模型的系统工程(Model-Based Systems Enginearing,MBSE)模式在雷达系统上的推广应用情况,本文介绍系统建模语言(Systems Modeling Language,SysML)模型中需求、行为、架构、仿真等模型的用途,详述雷达系统模型重用库的规划和建设情况,重点介绍模型通用框架的构建原则,提出雷达系统模型通用框架可从利益攸关者需求分析、系统需求与功能分析、系统逻辑架构设计、系统需求与架构仿真验证、系统物理架构设计等5个方面构建,以提高雷达系统的建模效率,增强数字模型的完整性、协同性和规范性,减少重复要素在不同模型中表达的差异性和可能出错的概率。展开更多
In cloud computing,fairness is one of the most significant indicators to evaluate resource allocation algorithms,which reveals whether each user is allocated as much as that of all other users having the same bottlene...In cloud computing,fairness is one of the most significant indicators to evaluate resource allocation algorithms,which reveals whether each user is allocated as much as that of all other users having the same bottleneck.However,how fair an allocation algorithm is remains an urgent issue.In this paper,we propose Dynamic Evaluation Framework for Fairness(DEFF),a framework to evaluate the fairness of an resource allocation algorithm.In our framework,two sub-models,Dynamic Demand Model(DDM) and Dynamic Node Model(DNM),are proposed to describe the dynamic characteristics of resource demand and the computing node number under cloud computing environment.Combining Fairness on Dominant Shares and the two sub-models above,we finally obtain DEFF.In our experiment,we adopt several typical resource allocation algorithms to prove the effectiveness on fairness evaluation by using the DEFF framework.展开更多
文摘结合基于模型的系统工程(Model-Based Systems Enginearing,MBSE)模式在雷达系统上的推广应用情况,本文介绍系统建模语言(Systems Modeling Language,SysML)模型中需求、行为、架构、仿真等模型的用途,详述雷达系统模型重用库的规划和建设情况,重点介绍模型通用框架的构建原则,提出雷达系统模型通用框架可从利益攸关者需求分析、系统需求与功能分析、系统逻辑架构设计、系统需求与架构仿真验证、系统物理架构设计等5个方面构建,以提高雷达系统的建模效率,增强数字模型的完整性、协同性和规范性,减少重复要素在不同模型中表达的差异性和可能出错的概率。
基金supported in part by Program for Changjiang Scholars and Innovative Research Team in University No.IRT1078The Key Program of NSFC-Guangdong Union Foundation No.U1135002The Fundamental Research Funds for the Central Universities No.JY0900120301
文摘In cloud computing,fairness is one of the most significant indicators to evaluate resource allocation algorithms,which reveals whether each user is allocated as much as that of all other users having the same bottleneck.However,how fair an allocation algorithm is remains an urgent issue.In this paper,we propose Dynamic Evaluation Framework for Fairness(DEFF),a framework to evaluate the fairness of an resource allocation algorithm.In our framework,two sub-models,Dynamic Demand Model(DDM) and Dynamic Node Model(DNM),are proposed to describe the dynamic characteristics of resource demand and the computing node number under cloud computing environment.Combining Fairness on Dominant Shares and the two sub-models above,we finally obtain DEFF.In our experiment,we adopt several typical resource allocation algorithms to prove the effectiveness on fairness evaluation by using the DEFF framework.
