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Throughput-oriented associated transaction assignment in sharding blockchains for IoT social data storage 被引量:1
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作者 Liping Tao Yang Lu +2 位作者 Xu Ding Yuqi Fan Jung Yoon Kim 《Digital Communications and Networks》 SCIE CSCD 2022年第6期885-899,共15页
Blockchain is a viable solution to provide data integrity for the enormous volume of 5G IoT social data, while we need to break through the throughput bottleneck of blockchain. Sharding is a promising technology to so... Blockchain is a viable solution to provide data integrity for the enormous volume of 5G IoT social data, while we need to break through the throughput bottleneck of blockchain. Sharding is a promising technology to solve the problem of low throughput in blockchains. However, cross-shard communication hinders the effective improvement of blockchain throughput. Therefore, it is critical to reasonably allocate transactions to different shards to improve blockchain throughput. Existing research on blockchain sharding mainly focuses on shards formation, configuration, and consensus, while ignoring the negative impact of cross-shard communication on blockchain throughput. Aiming to maximize the throughput of transaction processing, we study how to allocate blockchain transactions to shards in this paper. We propose an Associated Transaction assignment algorithm based on Closest Fit (ATCF). ATCF classifies associated transactions into transaction groups which are then assigned to different shards in the non-ascending order of transaction group sizes periodically. Within each epoch, ATCF tries to select a shard that can handle all the transactions for each transaction group. If there are multiple such shards, ATCF selects the shard with the remaining processing capacity closest to the number of transactions in the transaction group. When no such shard exists, ATCF chooses the shard with the largest remaining processing capacity for the transaction group. The transaction groups that cannot be completely processed within the current epoch will be allocated in the subsequent epochs. We prove that ATCF is a 2-approximation algorithm for the associated transaction assignment problem. Simulation results show that ATCF can effectively improve the blockchain throughput and reduce the number of cross-shard transactions. 展开更多
关键词 IoT social data Blockchain Shar ding Associated transactions Transaction assi gnment
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Delta算子不确定系统的具有闭环极点约束的控制 被引量:1
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作者 阎俊荣 郭西进 《通讯和计算机(中英文版)》 2005年第8期41-45,共5页
本文研究了Delta算子描述的不确定系统具有闭环极点约束的状态反馈控制,基于LMI和李亚普诺夫二次稳定的方法,提出了系统满足要求的极点配置的充分必要条件。用一个线性矩阵不等式组的可行解给出了状态反馈控制律的参数化表示,最后,... 本文研究了Delta算子描述的不确定系统具有闭环极点约束的状态反馈控制,基于LMI和李亚普诺夫二次稳定的方法,提出了系统满足要求的极点配置的充分必要条件。用一个线性矩阵不等式组的可行解给出了状态反馈控制律的参数化表示,最后,用一个例子验证了该方法的可行性。 展开更多
关键词 DELTA算子 不确定性 区域极点配置 线性矩阵不等式
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基于奇异函数的船舶推进轴系校中计算研究 被引量:2
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作者 冷坳坳 杨庆超 +1 位作者 楼京俊 周瑞平 《武汉理工大学学报(交通科学与工程版)》 2015年第2期401-404,共4页
分析奇异函数的优点,提出船舶推进轴系力学模型的等效方法,建立了船舶推进轴系计算坐标系并推导出推进轴系典型载荷的载荷函数表示方法.根据梁的变形理论导出轴系长度方向上挠度方程的奇异函数表达形式,联合静力平衡方程,构建直线校中... 分析奇异函数的优点,提出船舶推进轴系力学模型的等效方法,建立了船舶推进轴系计算坐标系并推导出推进轴系典型载荷的载荷函数表示方法.根据梁的变形理论导出轴系长度方向上挠度方程的奇异函数表达形式,联合静力平衡方程,构建直线校中及合理校中计算模型.以实船推进轴系为例,利用本文方法及三弯矩方程法分别计算轴系在直线校中及合理校中情况下各轴承负荷,将本文方法与三弯矩法计算得到的结果进行对比,结果表明本方法计算结果误差在工程允许范围内,验证了该校中计算方法的可行性. 展开更多
关键词 奇异函数 梁变形理论 轴系校中计算
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