Computer scientists in China have developed a system that can provide high-performance data replication across cloud servers. The approach keeps data in sync, which is a major problem facing widespread adoption of cloud services.
Earlier attempts to limit data conflicts for users accessing many different servers across the globe lack scalability and are slow, according to Anirban Kundu, Lin Luan, and Ruopeng Liu of the Kuang-Chi Institute of Advanced Technology in Shenzhen. They say their approach to cloud synchronization is so efficient that only low-category cloud servers are needed for implementation.
The cloud server-side environment has a network structure with distinct levels for controlling data transfer in different segments based on the user/system requirements and ferrying information packets through dedicated channels being used in parallel as required. Parallel execution takes less time to finish a particular task by dividing it into several asynchronous activities on different machines using a distributor/scheduler and then bringing these individual parts back together in the appropriate order for the end user or output.
From Phys.Org
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