The industrial Internet of Things(IoT)is a trend of factory development and a basic condition of intelligent factory.It is very important to ensure the security of data transmission in industrial IoT.Applying a new ch...The industrial Internet of Things(IoT)is a trend of factory development and a basic condition of intelligent factory.It is very important to ensure the security of data transmission in industrial IoT.Applying a new chaotic secure communication scheme to address the security problem of data transmission is the main contribution of this paper.The scheme is proposed and studied based on the synchronization of different-structure fractional-order chaotic systems with different order.The Lyapunov stability theory is used to prove the synchronization between the fractional-order drive system and the response system.The encryption and decryption process of the main data signals is implemented by using the n-shift encryption principle.We calculate and analyze the key space of the scheme.Numerical simulations are introduced to show the effectiveness of theoretical approach we proposed.展开更多
随着人工智能对算力需求的激增,数据中心(internet data center,IDC)作为数据处理与存储的机构,其能耗需求远超预期,使用新能源是其可持续发展的需要。然而,可再生能源具有出力不确定性,仅依靠数据中心参与需求响应难以实现消纳,可配置...随着人工智能对算力需求的激增,数据中心(internet data center,IDC)作为数据处理与存储的机构,其能耗需求远超预期,使用新能源是其可持续发展的需要。然而,可再生能源具有出力不确定性,仅依靠数据中心参与需求响应难以实现消纳,可配置储能提高系统灵活性。因此,本工作建立了以规划总成本最优为目标的数据中心与电池储能(battery energy storage,BES)协同规划两阶段鲁棒模型,为防止规划结果过于乐观,引入了储能寿命约束。同时针对在求解所建模型过程中,传统C&CG(column-and-constraint generation)算法存在难以平衡求解速度与精度间关系的问题,本工作提出了一种不精确列和生成约束算法i-C&CG(inexact column-and-constraint generation)进行求解。基于IEEE30节点与IEEE118节点算例系统进行优化解算,仿真结果表明,与仅配置单一储能相比,本工作所提模型储能年等效建设成本下降39785元,数据中心年等效建设成本下降289080元;且本工作所提算法与传统C&CG相比,采用0.18低精度下的i-C&CG,与采用0.16较高精度的C&CG相比较,i-C&CG最多可缩短3632 s的单次迭代求解所需时间,且最终计算结果的相对误差为0.46%,两者收敛间隙与相对最优间隙近似。展开更多
随着云计算技术的快速发展,传统通信互联网数据中心(Internet Data Center,IDC)机房供电系统已难以满足其高可靠性、高效率、灵活性的需求。文章针对云计算数据中心的特点,提出了一种创新的通信IDC机房供电电源系统设计方案。该方案包...随着云计算技术的快速发展,传统通信互联网数据中心(Internet Data Center,IDC)机房供电系统已难以满足其高可靠性、高效率、灵活性的需求。文章针对云计算数据中心的特点,提出了一种创新的通信IDC机房供电电源系统设计方案。该方案包括主供电、备用电源和不间断电源(Uninterruptible Power Supply,UPS)3个模块,并在相应模块中集成了智能配电管理系统、云平台能量管理系统、智能UPS能效管理系统。该研究为云计算数据中心的稳定运行和可持续发展提供了有力支撑。展开更多
基金supported in part by the National Science Foundation Project of China (61931001, 61873026)the National Key R&D Program of China (2017YFC0820700)
文摘The industrial Internet of Things(IoT)is a trend of factory development and a basic condition of intelligent factory.It is very important to ensure the security of data transmission in industrial IoT.Applying a new chaotic secure communication scheme to address the security problem of data transmission is the main contribution of this paper.The scheme is proposed and studied based on the synchronization of different-structure fractional-order chaotic systems with different order.The Lyapunov stability theory is used to prove the synchronization between the fractional-order drive system and the response system.The encryption and decryption process of the main data signals is implemented by using the n-shift encryption principle.We calculate and analyze the key space of the scheme.Numerical simulations are introduced to show the effectiveness of theoretical approach we proposed.
文摘随着人工智能对算力需求的激增,数据中心(internet data center,IDC)作为数据处理与存储的机构,其能耗需求远超预期,使用新能源是其可持续发展的需要。然而,可再生能源具有出力不确定性,仅依靠数据中心参与需求响应难以实现消纳,可配置储能提高系统灵活性。因此,本工作建立了以规划总成本最优为目标的数据中心与电池储能(battery energy storage,BES)协同规划两阶段鲁棒模型,为防止规划结果过于乐观,引入了储能寿命约束。同时针对在求解所建模型过程中,传统C&CG(column-and-constraint generation)算法存在难以平衡求解速度与精度间关系的问题,本工作提出了一种不精确列和生成约束算法i-C&CG(inexact column-and-constraint generation)进行求解。基于IEEE30节点与IEEE118节点算例系统进行优化解算,仿真结果表明,与仅配置单一储能相比,本工作所提模型储能年等效建设成本下降39785元,数据中心年等效建设成本下降289080元;且本工作所提算法与传统C&CG相比,采用0.18低精度下的i-C&CG,与采用0.16较高精度的C&CG相比较,i-C&CG最多可缩短3632 s的单次迭代求解所需时间,且最终计算结果的相对误差为0.46%,两者收敛间隙与相对最优间隙近似。
文摘随着云计算技术的快速发展,传统通信互联网数据中心(Internet Data Center,IDC)机房供电系统已难以满足其高可靠性、高效率、灵活性的需求。文章针对云计算数据中心的特点,提出了一种创新的通信IDC机房供电电源系统设计方案。该方案包括主供电、备用电源和不间断电源(Uninterruptible Power Supply,UPS)3个模块,并在相应模块中集成了智能配电管理系统、云平台能量管理系统、智能UPS能效管理系统。该研究为云计算数据中心的稳定运行和可持续发展提供了有力支撑。
