Research On The Mass Data Transmission Strategy Of Data Grid

With the amount of data in many science fields dramatic increasing. At present, more and more science, production, engineering and other fields[1,2,5], etc, also the need of analyzing and dealing with the amount of data is also fast expanding. How to effectively manage and use the data has become an important research topic. The Grid technology came into being. Data Grid is an extension of the grid technology on data management which is more focused on data storage, transmission and management[1]. This paper mostly focuses on the research on the mass data transmission Strategy of Data Grid. The paper firstly introduces the improving strategy of data grid information service, then discusses over file degree the ring and thread replication strategy and over file degree the file-parted replication strategy to improve the efficiency of Data Grid. After that it discusses how to generate a multicast architecture for Data Grid. The system comprehensive consider about the place factor and data quantity factors, building multicast architecture, so radically improve the efficiency of data transmission of Data Grid. At last, according to the idea of from qualitative to quantitative, comprehensively think about the place factor and data quantity factor, introduce the idea of game theory, finding the game and balance point of the place factor and data quantity factor, moreover resolve the value of line parameter. Furthermore, after discussed two vectors correlation, the paper can easily extent to3weight vectors correlation, At last, the paper can extend to N vectors correlation.The contribution of this paper:1. Ring replication and thread replication improving the efficiency of information service.In Data Grid environment, Information Service is primary service, which is the base of other applications. Compared with many others replication strategies and considered in different grid infrastructures, the strategies of Ring replication and Thread replication can boost the efficiency of the Data Grid information service system.2. Over file degree using the ring and thread replication strategy and below file degree using the file-parted replication strategy to improve the efficiency of Data Grid.In Data Grid, it is inevitable that there is a mass of data. To improve the system efficiency, over file degree the paper puts forward the strategies of ring replication and thread replication and below file degree the paper will study the viewpoint of the file-parted replication to divide the data Grid files into several blocks that are replicated parallel between the Data Grid sever points. Finally, compared with many other replication strategies, our approachs can improve the efficiency of Data Grid.3. Using linear optimal hierarchical multicast tree algorithms to improve the efficiency of Data GridWhen Data Grid system builds architecture, it should comprehensively consider about the place factor and data quantity factor. On the base of last section, according to the idea from qualitative to quantitative, it accurately improves the efficiency of transmission of Data Grid. We find the game and balance point, then resolves the value of line parameters, construct multicast architecture, transfer data. Comparing with former approaches, our algorithm, extended simulation results indicate that the new algorithms are more suitable for Data Grid compared with other well-known existing multicast solutions.4. To extend2vectors correlation to3vectors correlation and extended to elastic finite-dimensional.Our research work is an organic architecture. N step is derived from the N-1step, but also launched the n+1step. In theory, the factors that affect the wireless multicast communication is infinite, which is discussed in the future work of our new paper. But in practice, we often utilize finite multi-dimensional,3,4,5, such as space, data, economy, politics, military, and so on. Based on the powerful computing capability of modern computer, the finite element program can resolve the algebraic equations with hundreds of thousands of degrees of freedom. About the future work:After that the spatial weight vector is complex, but the data quantity weight vector is definite. However, in some situation the data quantity could be changing, so the paper should study special sub-algorithm for it also.Moreover, in here the paper just talks about the liner relationship of two vectors. But, sometime, the system transforms according to the non liner relationship of two vectors.