In mobile cloud computing(MCC) systems,both the mobile access network and the cloud computing network are heterogeneous,implying the diverse configurations of hardware,software,architecture,resource,etc.In such hetero...In mobile cloud computing(MCC) systems,both the mobile access network and the cloud computing network are heterogeneous,implying the diverse configurations of hardware,software,architecture,resource,etc.In such heterogeneous mobile cloud(HMC) networks,both radio and cloud resources could become the system bottleneck,thus designing the schemes that separately and independently manage the resources may severely hinder the system performance.In this paper,we aim to design the network as the integration of the mobile access part and the cloud computing part,utilizing the inherent heterogeneity to meet the diverse quality of service(QoS)requirements of tenants.Furthermore,we propose a novel cross-network radio and cloud resource management scheme for HMC networks,which is QoS-aware,with the objective of maximizing the tenant revenue while satisfying the QoS requirements.The proposed scheme is formulated as a restless bandits problem,whose "indexability" feature guarantees the low complexity with scalable and distributed characteristics.Extensive simulation results are presented to demonstrate the significant performance improvement of the proposed scheme compared to the existing ones.展开更多
考虑成功树分析(Success tree analysis,STA)所蕴含的事件成功的逻辑关系不够简洁,提出一类通用直观的拓展型成功树分析(Extended success tree analysis,ESTA),并基于ESTA逻辑设计质量屋(House of quality,HoQ)构建方法,进而搭建大型...考虑成功树分析(Success tree analysis,STA)所蕴含的事件成功的逻辑关系不够简洁,提出一类通用直观的拓展型成功树分析(Extended success tree analysis,ESTA),并基于ESTA逻辑设计质量屋(House of quality,HoQ)构建方法,进而搭建大型复杂产品总体参数设计拓展型成功树-质量屋(Extended success tree analysis-house of quality,ESTA-HoQ)网络框架;考虑产品设计面向质量,定义一类标准质量损失函数,并揭示大型复杂产品多主体协同设计的本质就是合作利益分配,在此基础上,以标准质量损失最小化为目标,根据不同逻辑门设计目标函数,并以设计参数自身约束、参数间关系约束以及多主体利益约束作为约束条件,构建基于ESTA-HoQ网络的大型复杂产品总体参数多主体协同设计多级递阶规划模型,并设计模型的求解算法;以固定翼飞机设计为例,详细阐述该思路和模型的可行性和有效性。展开更多
This paper aims at designing a better net-work i,,imozatopm strategy to fight against the Sus- ceptible-Infected-Susceptible （SIS） type epidemic spreading in networks. Previous work used the nurrber of drops in the ...This paper aims at designing a better net-work i,,imozatopm strategy to fight against the Sus- ceptible-Infected-Susceptible （SIS） type epidemic spreading in networks. Previous work used the nurrber of drops in the spectral radius of the net-work for evaluation and guiding the design of im-munization strategies. Instead, we propose using the infected node number in the steady state of SIS spreading as the appropriate metric. We use the metric to point out the limitations of the Equal Graph Partitioning （EGP） strategy and the ＂max-△λ＂ strategy, which are two representative network inmmnization strategies, and then identify the criti-cal role of epidemic spreading parameters in the e-valuation and design of network immuzization strat- egies. Based on all of these, we design a new immuzization strategy. Simulation results show that our strategy performs consistently better than the EGP strategy. In many cases, it uses only 50% less re-sources to achieve the same immuzization effect.展开更多
基金supported in part by the National Natural Science Foundation of China under Grant 61101113,61372089 and 61201198 the Beijing Natural Science Foundation under Grant 4132007,4132015 and 4132019 the Research Fund for the Doctoral Program of Higher Education of China under Grant 20111103120017
文摘In mobile cloud computing(MCC) systems,both the mobile access network and the cloud computing network are heterogeneous,implying the diverse configurations of hardware,software,architecture,resource,etc.In such heterogeneous mobile cloud(HMC) networks,both radio and cloud resources could become the system bottleneck,thus designing the schemes that separately and independently manage the resources may severely hinder the system performance.In this paper,we aim to design the network as the integration of the mobile access part and the cloud computing part,utilizing the inherent heterogeneity to meet the diverse quality of service(QoS)requirements of tenants.Furthermore,we propose a novel cross-network radio and cloud resource management scheme for HMC networks,which is QoS-aware,with the objective of maximizing the tenant revenue while satisfying the QoS requirements.The proposed scheme is formulated as a restless bandits problem,whose "indexability" feature guarantees the low complexity with scalable and distributed characteristics.Extensive simulation results are presented to demonstrate the significant performance improvement of the proposed scheme compared to the existing ones.
文摘考虑成功树分析(Success tree analysis,STA)所蕴含的事件成功的逻辑关系不够简洁,提出一类通用直观的拓展型成功树分析(Extended success tree analysis,ESTA),并基于ESTA逻辑设计质量屋(House of quality,HoQ)构建方法,进而搭建大型复杂产品总体参数设计拓展型成功树-质量屋(Extended success tree analysis-house of quality,ESTA-HoQ)网络框架;考虑产品设计面向质量,定义一类标准质量损失函数,并揭示大型复杂产品多主体协同设计的本质就是合作利益分配,在此基础上,以标准质量损失最小化为目标,根据不同逻辑门设计目标函数,并以设计参数自身约束、参数间关系约束以及多主体利益约束作为约束条件,构建基于ESTA-HoQ网络的大型复杂产品总体参数多主体协同设计多级递阶规划模型,并设计模型的求解算法;以固定翼飞机设计为例,详细阐述该思路和模型的可行性和有效性。
基金supported by the State Key Development Program of Basic Research of China under Grants No.2007CB307104,No. 2007CB307100
文摘This paper aims at designing a better net-work i,,imozatopm strategy to fight against the Sus- ceptible-Infected-Susceptible （SIS） type epidemic spreading in networks. Previous work used the nurrber of drops in the spectral radius of the net-work for evaluation and guiding the design of im-munization strategies. Instead, we propose using the infected node number in the steady state of SIS spreading as the appropriate metric. We use the metric to point out the limitations of the Equal Graph Partitioning （EGP） strategy and the ＂max-△λ＂ strategy, which are two representative network inmmnization strategies, and then identify the criti-cal role of epidemic spreading parameters in the e-valuation and design of network immuzization strat- egies. Based on all of these, we design a new immuzization strategy. Simulation results show that our strategy performs consistently better than the EGP strategy. In many cases, it uses only 50% less re-sources to achieve the same immuzization effect.
