Data migration technique is used in organizations when the systems are upgraded or a makeover is done. Data compression technique reduces the time taken for transferring the data the storage. This technique is used for transferring the data between two end systems bade on specified format. In this paper we will look into the migration types and various compression techniques followed for transferring the data.
Brief on data migration and data compression techniques:
We use certain simulation codes for transfer of the data and various parallel compression algorithms are used for sending the data in a specified format at particular bandwidths. . In application migration we use this technique where is the platform is changed and the data migrated supports each model in the new transformation. In data migration the transfer of data is checked in a parallel mechanism whether the data has reached correctly in the specified format in the end system.
We use ROMIO implementation which employs two phase input output method for transferring the data which is the best parallel mechanism technique used. The data compression we find lossless and lossy compression methods. In data compression technique snapshot is stored which is used for simulation of data of the image and to make future visualizations and analysis. If any crash occurs we can restore from the point where the crash occurred using a checkpoint. Based on the requirement we follow client side compression method or server side compression method for transferring the data between the end systems.
Applications and Advantages:
As the data is transferred in a parallel mechanism there are very less chances for errors to occur and it verifies whether the data has reached in a specified format or not. By using compression technique we can transfer huge data by compressing which saves the storage space and the increase the transfer rate. These are used when there is change of servers or transformation of applications and these are used in internet for processing data.
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