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A Public Blockchain Consensus Mechanism for Fault-Tolerant distributed computing in LEO Satellite Communications

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China Communications 2022年第7期19卷 110-123页

作者： Zhen Zhang Bing Guo Lidong Zhu Yan Shen Chaoxia Qin Chengjie Li College of Computer Science Sichuan UniversityChengdu 610065China National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengdu 610000China School of Computer Science Chengdu University of Information TechnologyChengdu 610225China School of Computer Science and Technology Southwest Minzu UniversityChengdu 610225China

In LEO(Low Earth Orbit)satellite communication systems,the satellite network is made up of a large number of satellites,the dynamically changing network environment affects the results of distributed *** order to improve the fault tolerance rate,a novel public blockchain consensus mechanism that applies a distributed computing architecture in a public network is *** calculation of blockchain ensures the credibility of the results;and the transactions with calculation results of a task are stored distributed in sequence in Directed Acyclic Graphs(DAG).The transactions issued by nodes are connected to form a *** net can quickly provide node reputation evaluation that does not rely on third *** show that our proposed blockchain has the following advantages:*** task processing speed of the blockchain can be close to that of the fastest node in the entire blockchain;*** the tasks’arrival time intervals and demanded working nodes(WNs)meet certain conditions,the network can tolerate more than 50%of malicious devices;*** matter the number of nodes in the blockchain is increased or reduced,the network can keep robustness by adjusting the task’s arrival time interval and demanded WNs.

关键词： distributed computing public blockchain network consensus mechanism credibility faulttolerance

A distributed computing Framework Based on Lightweight Variance Reduction Method to Accelerate Machine Learning Training on Blockchain

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China Communications 2020年第9期17卷 77-89页

作者： Zhen Huang Feng Liu Mingxing Tang Jinyan Qiu Yuxing Peng Science and Technology on Parallel and distributed Laboratory National University of Defense TechnologyChangsha 410000China H.R.Support Center PLABeijing 100000China

To security support large-scale intelligent applications,distributed machine learning based on blockchain is an intuitive solution ***,the distributed machine learning is difficult to train due to that the corresponding optimization solver algorithms converge slowly,which highly demand on computing and memory *** overcome the challenges,we propose a distributed computing framework for L-BFGS optimization algorithm based on variance reduction method,which is a lightweight,few additional cost and parallelized scheme for the model training *** validate the claims,we have conducted several experiments on multiple classical *** show that our proposed computing framework can steadily accelerate the training process of solver in either local mode or distributed mode.

关键词： machine learning optimization algorithm blockchain distributed computing variance reduction

Dynamic Allocation Strategy Based on Pre-allocation and Agent to Implement Ada95's distributed computing

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Wuhan University Journal of Natural Sciences 2003年第4A期8卷 1061-1064页

作者： Zhu Fu-xi, Fu Jian-ming,Wu Chan-le, Cao Zheng School of Computer,Wuhan University,Wuhan 430072,Hubei, China School of Computer Wuhan University Wuhan Hubei China

This paper discusses the model of how the Agent is applied to implement distributed computing of Ada95 and presents a dynamic allocation strategy for distributed computing that based on pre-allocationand Agent. The ... 详细信息

关键词： distributed computing Ada95 Agent equilibrium allocation

distributed computing IN MULTI-GROUP STRUCTURAL EQUATION MODEL

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DISTRIBUTED COMPUTING IN MULTI-GROUP STRUCTURAL EQUATION MOD...

Research on Coordinating Protection and Control System with Redundant Information and distributed computing

2006年国际电子、工程及科学领域的分布式计算和应用学术研讨会

作者： Hengqing Tong,Ziqing Li Department of Mathematics,Wuhan University of Technology Wuhan,Hubei Province 430070,P.R.China QiaoLing Tong Department of Electronic Science and Technology,Huazhong University of Science and Technology Wuhan,Hubei Province 430074,P.R.China

This paper firstly proposes an improved partial least square (PLS) algorithm in structural equation model(SEM) using a suitable iterative initial value with constraint of unit vector. The algorithm enhances the convergence rate greatly and its convergency is *** multi-group SEM is investigated and distributed computing is adopted to calculate all the coefficients in SEM of each group,which results in considerable timesavings when compared with traditional ***,a uniform model is built using the generalized linear model with convex constraint and an algorithm for the multi-group SEM is *** results of this paper have been received in software DASC.

关键词： SEM PLS Multi-Group Model Convergency distributed computing

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Electricity 2014年第5期25卷 14-23页

作者： Tony Yip He Jinhan Liu Lin Li Bei Beijing Jiaotong University

This paper proposes a distributed computing architecture for protection functions within a digital substation, in order to achieve data redundancy, functional redundancy and functional coordination. This can be realized primarily due to the advances in digital and communications technology within a substation, particularly the process bus which allows data sharing between Intelligent Electronic Devices(IEDs). Results of backup protection investigation, using redundant information both within the substation and on a wide area basis, are then presented. A campus microgrid protection scheme was used as a test case to demonstrate the concept of protection using shared information. Finally, the paper proposes a multi-agent system as a simulation platform, which can be used to further demonstrate some of these concepts.

关键词： redundant information distributed computing coordinated protection multi-agent system artificial intelligence micro grid

G-Phenomena as a Base of Scalable distributed computing—G-Phenomena in Moore’s Law

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International Journal of Internet and distributed Systems 2014年第1期2卷 1-4页

作者： Karolj Skala Davor Davidovic Tomislav Lipic Ivan Sovic Centre for Informatics and computing Ruder Boskovic InstituteZagrebCroatia

Today we witness the exponential growth of scientific research. This fast growth is possible thanks to the rapid development of computing systems since its first days in 1947 and the invention of transistor till the present days with high performance and scalable distributed computing systems. This fast growth of computing systems was first observed by Gordon E. Moore in 1965 and postulated as Moore’s Law. For the development of the scalable distributed computing systems, the year 2000 was a very special year. The first GHz speed processor, GB size memory and GB/s data transmission through network were achieved. Interestingly, in the same year the usable Grid computing systems emerged, which gave a strong impulse to a rapid development of distributed computing systems. This paper recognizes these facts that occurred in the year 2000, as the G-phenomena, a millennium cornerstone for the rapid development of scalable distributed systems evolved around the Grid and Cloud computing paradigms.

关键词： Historical Development of computing G-Phenomena Moore’s Law distributed computing Scalability Grid computing Cloud computing Component

The Application of distributed computing Technique in Rail Transit Automatic Fare Collection System

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The Application of Distributed Computing Technique in Rail T...

Solve Game of the Amazons with Neural Networks and distributed computing

2007年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Ning Zhang, Liqiang Yang, Tiejun He, Wei Huang School of Transportation, Southeast University Nanjing City, Jiangsu Province 210018, China

Automatic Fare Collection System (AFC) is one of the most important systems to support the safety and convenience of rail transit operation. But the past research just limited to four layers structure of AFC, which did not fit to Chinese National Standards GB 50381-2006. Based on the four layers structure, a new structure of five layers AFC network was put forward, the performance and reliability of which can be effectively improved by using distributed computing and decentralized data processing technique. The outcome of this study will be helpful to the construction and operation of rail transit AFC.

关键词： Rail transit Automatic Fare Collection distributed computing Decentralized Data Processing

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Solve Game of the Amazons with Neural Networks and Distribut...

DCCS:A General-Purpose distributed Cryptographic computing System

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作者： Yuanxing Chang Hongkun Qiu School of Computer Science Shenyang Aerospace University Engineering Training Center Shenyang Aerospace University

A training model was constructed with convolution neural network. Its policy network was trained by supervised learning. Then the parameters of the policy network were constantly adjusted by self-play and the game strength was enhanced. So it made it surpassed the existing game programs that simply used-pruning algorithm or Monte Carlo algorithm. By using distributed computing to update the data asynchronously, multiple game groups were allocated to different machines at the same time. In this way, a number of common configuration computers could be made full use of.

关键词： Game of the Amazons Neural Networks distributed computing

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Wuhan University Journal of Natural Sciences 2007年第1期12卷 46-50页

作者： JIANG Zhonghua LIN Dongdai XU Lin LIN Lei State Key Laboratory of Information Security Institute ofSoftware Chinese Academy of Sciences Beijing 100080 China Graduate School of the Chinese Academy of Sciences Beijing 100049 China

distributed cryptographic computing system plays an important role since cryptographic computing is extremely computation sensitive. However, no general cryptographic computing system is available. Grid technology can give an efficient computational support for cryptographic applications. Therefore, a general-purpose grid-based distributed computing system called DCCS is put forward in this paper. The architecture of DCCS is simply described at first. The policy of task division adapted in DCCS is then presented. The method to manage subtask is further discussed in detail. Furthermore, the building and execution process of a computing job is revealed. Finally, the details of DCCS implementation under Globus Toolkit 4 are illustrated.

关键词： cryptography distributed computing execution plan computational grid