云计算环境下,针对用户无法准确评价服务实体,客观选择服务提供商的问题,结合信息熵和相关比理论来分析实体之间动态信任关系,将服务细粒度化,提出一种基于服务感知的可信QoS(quantity of service)评价模型.在该模型中,引入时间因子刻...云计算环境下,针对用户无法准确评价服务实体,客观选择服务提供商的问题,结合信息熵和相关比理论来分析实体之间动态信任关系,将服务细粒度化,提出一种基于服务感知的可信QoS(quantity of service)评价模型.在该模型中,引入时间因子刻画信任的衰减特性,综合直接信任、推荐信任以及QoS反馈信任描述实体之间的信任关系;对于新加入节点以某先验初始概率参与服务交互,能在一定程度上有效地抵御漂白攻击;在推荐信任度量与直接信任度量计算中引入信息熵和相关比理论测度,能有效地减弱恶意评价对信任度量的影响.模拟实验表明,该模型在很大程度上满足用户选择服务的需求,并提高资源调度的成功率,有效地保障服务资源调度的安全性.展开更多
Resource scheduling algorithm for ForCES(Forwarding and Control Element Separation) networks need to meet the flexibility,programmability and scalability of node resources.DBC(Deadline Budget Constrain) algorithm reli...Resource scheduling algorithm for ForCES(Forwarding and Control Element Separation) networks need to meet the flexibility,programmability and scalability of node resources.DBC(Deadline Budget Constrain) algorithm relies on users select cost or time priority,then scheduling to meet the requirements of users.However,this priority strategy of users is relatively simple,and cannot adapt to dynamic change of resources,it is inevitable to reduce the QoS.In order to improve QoS,we refer to the economic model and resource scheduling model of cloud computing,use SAL(Service Level Agreement) as pricing strategy,on the basis of DBC algorithm,propose an DABP(Deadline And Budget Priority based on DBC) algorithm for ForCES networks,DABP combines both budget and time priority to scheduling.In simulation and test,we compare the task finish time and cost of DABP algorithm with DP(Deadline Priority) algorithm and BP(Budget Priority) algorithm,the analysis results show that DABP algorithm make the task complete with less cost within deadline,benifical to load balancing of ForCES networks.展开更多
文摘云计算环境下,针对用户无法准确评价服务实体,客观选择服务提供商的问题,结合信息熵和相关比理论来分析实体之间动态信任关系,将服务细粒度化,提出一种基于服务感知的可信QoS(quantity of service)评价模型.在该模型中,引入时间因子刻画信任的衰减特性,综合直接信任、推荐信任以及QoS反馈信任描述实体之间的信任关系;对于新加入节点以某先验初始概率参与服务交互,能在一定程度上有效地抵御漂白攻击;在推荐信任度量与直接信任度量计算中引入信息熵和相关比理论测度,能有效地减弱恶意评价对信任度量的影响.模拟实验表明,该模型在很大程度上满足用户选择服务的需求,并提高资源调度的成功率,有效地保障服务资源调度的安全性.
基金This work was supported in part by a grant from the National Basic Research Program of China(973 Program) under Grant No.2012CB315902,the National Natural Science Foundation of China under Grant No.61379120,61170215,the Program for Zhejiang Leading Team of Science and Technology Innovation under Grant No.2011R50010-12,2011R50010-18.Zhejiang Provincial Key Laboratory of New Network Standards and Technologies (NNST)
文摘Resource scheduling algorithm for ForCES(Forwarding and Control Element Separation) networks need to meet the flexibility,programmability and scalability of node resources.DBC(Deadline Budget Constrain) algorithm relies on users select cost or time priority,then scheduling to meet the requirements of users.However,this priority strategy of users is relatively simple,and cannot adapt to dynamic change of resources,it is inevitable to reduce the QoS.In order to improve QoS,we refer to the economic model and resource scheduling model of cloud computing,use SAL(Service Level Agreement) as pricing strategy,on the basis of DBC algorithm,propose an DABP(Deadline And Budget Priority based on DBC) algorithm for ForCES networks,DABP combines both budget and time priority to scheduling.In simulation and test,we compare the task finish time and cost of DABP algorithm with DP(Deadline Priority) algorithm and BP(Budget Priority) algorithm,the analysis results show that DABP algorithm make the task complete with less cost within deadline,benifical to load balancing of ForCES networks.
