Optimized transcript distributing method in data grid

Abstract

The invention relates to an optimized transcript distributing method in a data grid, belonging to the field of grid computation, and concretely relates to a grid system, in particular to a transcript distributing method in the data grid system. The invention provides a distributed dynamic self-adaptive transcript distributing method in the data grid, aiming at reducing the access cost of the resource request party, and comprising the following steps of: calculating the transcript amount through the response time of resources; and determining proper transcript place via comprehensive consideration of factors of load factor, node performance, real-time bandwidth, and the like so that the transcript distribution can be dynamically suitable for variation of access request and the network communication state. Compared with the existing method for simply requiring transcript amount to improve the data access performance, the invention evaluates the transcript amount and the optimum transcript place from the overall situation of the system, thereby effectively balancing the relationship between the transcript amount and the transcript maintenance cost. The method is not only suitable for data grid systems of read-only resources and particularly suitable for data grid systems with read-write data resources.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This technology helps manage copying more efficiently while reducing costs compared with traditional methods like static allocation or manual adjustment. It uses an algorithm that takes into account factors such as node-to-node distance from other devices (access requests) when accessing resources for each user device's needs. By calculating how many times they have copied data at different points within their system, it becomes possible to determine if there will be enough memory needed without overloading them too much. Additionally, this technique allows users who require faster responses than usual to receive similar content even though some may only use certain parts of those networks. Overall, these technical improvements help improve efficiency and reliability in distributed computing systems.

Problems solved by technology

This patented technical solution describes how to efficiently distribute data over networks like internet (IoE) and mobile devices (MD). Aims to ensure proper copying and allocation among remote servers, reducing costs associated with storing duplicate copies and distributing them throughout the entire system. Additionally, this approach helps prevent failures caused by temporary disks undergoing changes during reconfiguration cycles when upgrading hardware components. Overall, the method ensures efficient data exchange and reduces downtime issues related to conventional data centers.

Images