P2P2B模式下云服务投入是工业互联网(industrial internet of things,IIoT)平台的关键战略决策之一.构建由IIoT平台、龙头企业、潜在客户构成的演化博弈模型,研究IIoT平台在公有云研发投入和私有云研发投入中的策略选择,及其与龙头企业...P2P2B模式下云服务投入是工业互联网(industrial internet of things,IIoT)平台的关键战略决策之一.构建由IIoT平台、龙头企业、潜在客户构成的演化博弈模型,研究IIoT平台在公有云研发投入和私有云研发投入中的策略选择,及其与龙头企业的生态合作问题.结果表明:虽然公有云存在数据泄露隐患,但较高的规模收益仍会吸引IIoT平台投入公有云研发,而平台搭建期内龙头企业的高合作意愿会促使平台投入私有云,随着龙头企业合作研发的比例增加,平台又将改变其投入策略.驱动龙头企业合作的因素可以是成本收益、技术提升等直接因素,也可以是规模收益、数据泄露概率等间接因素.最后,基于平台生命周期探讨了初创期、平台搭建期与生态系统期IIoT平台的系统稳定策略,并得到相应的管理启示.展开更多
随着能源系统互联化和能源交易市场化的高度发展,通过多综合能源系统(Multi-Integrated Energy System,MIES)的区域互联使综合能源系统(Integrated Energy System,IES)的能源利用率更高效、经济收益更可观。首先,文中构建多能源市场背...随着能源系统互联化和能源交易市场化的高度发展,通过多综合能源系统(Multi-Integrated Energy System,MIES)的区域互联使综合能源系统(Integrated Energy System,IES)的能源利用率更高效、经济收益更可观。首先,文中构建多能源市场背景下的MIES合作联盟的能量共享架构,建立MIES之间的电能和备用点对点(Point To Point,P2P)交易模型;其次,对新能源出力的不确定性,电价及备用价格波动风险进行分析,文中采用条件风险价值(Conditional Value-at-Risk,CVaR)理论,构建风险成本函数,并将其纳入综合运行成本模型;最后,选择交替方向乘子法(Alternating Direction Method Of Multipliers,ADMM)进行分布式求解,并通过算例分析验证模型的正确性与合理性,实现MIES运行成本的最小化和支付收益最大化,体现不同条件风险厌恶系数对MIES的影响。展开更多
Broadcasting is a basic technique in Mobile ad-hoc network(MANET),and it refers to sending a packet from one node to every other node within the transmission range.Flooding is a type of broadcast where the received pa...Broadcasting is a basic technique in Mobile ad-hoc network(MANET),and it refers to sending a packet from one node to every other node within the transmission range.Flooding is a type of broadcast where the received packet is retransmitted once by every node.The naive flooding technique,floods the network with query messages,while the random walk technique operates by contacting the subsets of every node’s neighbors at each step,thereby restricting the search space.One of the key challenges in an ad-hoc network is the resource or content discovery problem which is about locating the queried resource.Many earlier works have mainly focused on the simulation-based analysis of flooding,and its variants under a wired network.Although,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of P2P systems running over MANET.In this paper,we describe how P2P resource discovery protocols perform badly over MANETs.To address the limitations,we propose a new protocol named ABRW(Address Broadcast Random Walk),which is a lightweight search approach,designed considering the underlay topology aimed to better suit the unstructured architecture.We provide the mathematical model,measuring the performance of our proposed search scheme with different widely popular benchmarked search techniques.Further,we also derive three relevant search performance metrics,i.e.,mean no.of steps needed to find a resource,the probability of finding a resource,and the mean no.of message overhead.We validated the analytical expressions through simulations.The simulation results closely matched with our analyticalmodel,justifying our findings.Our proposed search algorithm under such highly dynamic self-evolving networks performed better,as it reduced the search latency,decreased the overall message overhead,and still equally had a good success rate.展开更多
设计基于安全的P2P(Peer-To-Peer)能量共享市场,可以促进微网自主地参与到本地的能量共享市场,推动可再生能源的利用。针对多微电网能量共享策略优化问题,首先建立了考虑碳排放配额的多微网能量共享模型,在此基础上提出了微电网最优共...设计基于安全的P2P(Peer-To-Peer)能量共享市场,可以促进微网自主地参与到本地的能量共享市场,推动可再生能源的利用。针对多微电网能量共享策略优化问题,首先建立了考虑碳排放配额的多微网能量共享模型,在此基础上提出了微电网最优共享策略,最后以最小化微网的能源成本为目标,采用基于自适应交替方向乘子法(Adaptive Alternating Direction Multiplier Method,AADMM)求解得到最优能量共享计划。仿真案例研究表明所提出的AADMM算法可以有效减少迭代次数和迭代时间,并且所提出的策略对微网具有能源经济性和碳减排效益。此外采用AADMM算法求解微电网之间电能共享问题,仅需微网之间的交易电量和交易电价参数,有效避免了其它隐私信息的泄露。展开更多
文摘P2P2B模式下云服务投入是工业互联网(industrial internet of things,IIoT)平台的关键战略决策之一.构建由IIoT平台、龙头企业、潜在客户构成的演化博弈模型,研究IIoT平台在公有云研发投入和私有云研发投入中的策略选择,及其与龙头企业的生态合作问题.结果表明:虽然公有云存在数据泄露隐患,但较高的规模收益仍会吸引IIoT平台投入公有云研发,而平台搭建期内龙头企业的高合作意愿会促使平台投入私有云,随着龙头企业合作研发的比例增加,平台又将改变其投入策略.驱动龙头企业合作的因素可以是成本收益、技术提升等直接因素,也可以是规模收益、数据泄露概率等间接因素.最后,基于平台生命周期探讨了初创期、平台搭建期与生态系统期IIoT平台的系统稳定策略,并得到相应的管理启示.
文摘随着能源系统互联化和能源交易市场化的高度发展,通过多综合能源系统(Multi-Integrated Energy System,MIES)的区域互联使综合能源系统(Integrated Energy System,IES)的能源利用率更高效、经济收益更可观。首先,文中构建多能源市场背景下的MIES合作联盟的能量共享架构,建立MIES之间的电能和备用点对点(Point To Point,P2P)交易模型;其次,对新能源出力的不确定性,电价及备用价格波动风险进行分析,文中采用条件风险价值(Conditional Value-at-Risk,CVaR)理论,构建风险成本函数,并将其纳入综合运行成本模型;最后,选择交替方向乘子法(Alternating Direction Method Of Multipliers,ADMM)进行分布式求解,并通过算例分析验证模型的正确性与合理性,实现MIES运行成本的最小化和支付收益最大化,体现不同条件风险厌恶系数对MIES的影响。
文摘Broadcasting is a basic technique in Mobile ad-hoc network(MANET),and it refers to sending a packet from one node to every other node within the transmission range.Flooding is a type of broadcast where the received packet is retransmitted once by every node.The naive flooding technique,floods the network with query messages,while the random walk technique operates by contacting the subsets of every node’s neighbors at each step,thereby restricting the search space.One of the key challenges in an ad-hoc network is the resource or content discovery problem which is about locating the queried resource.Many earlier works have mainly focused on the simulation-based analysis of flooding,and its variants under a wired network.Although,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of P2P systems running over MANET.In this paper,we describe how P2P resource discovery protocols perform badly over MANETs.To address the limitations,we propose a new protocol named ABRW(Address Broadcast Random Walk),which is a lightweight search approach,designed considering the underlay topology aimed to better suit the unstructured architecture.We provide the mathematical model,measuring the performance of our proposed search scheme with different widely popular benchmarked search techniques.Further,we also derive three relevant search performance metrics,i.e.,mean no.of steps needed to find a resource,the probability of finding a resource,and the mean no.of message overhead.We validated the analytical expressions through simulations.The simulation results closely matched with our analyticalmodel,justifying our findings.Our proposed search algorithm under such highly dynamic self-evolving networks performed better,as it reduced the search latency,decreased the overall message overhead,and still equally had a good success rate.
文摘设计基于安全的P2P(Peer-To-Peer)能量共享市场,可以促进微网自主地参与到本地的能量共享市场,推动可再生能源的利用。针对多微电网能量共享策略优化问题,首先建立了考虑碳排放配额的多微网能量共享模型,在此基础上提出了微电网最优共享策略,最后以最小化微网的能源成本为目标,采用基于自适应交替方向乘子法(Adaptive Alternating Direction Multiplier Method,AADMM)求解得到最优能量共享计划。仿真案例研究表明所提出的AADMM算法可以有效减少迭代次数和迭代时间,并且所提出的策略对微网具有能源经济性和碳减排效益。此外采用AADMM算法求解微电网之间电能共享问题,仅需微网之间的交易电量和交易电价参数,有效避免了其它隐私信息的泄露。
