A Container Pre-copy Migration Method Based on Dirty Page Prediction and Compression

Abstract

Container live migration can move the running container between different physical machines without interrupting the operations of container, which brings great flexibility to cloud computing environments. The pre-copy algorithm is a commonly used migration algorithm in live migration. Aiming at the problem of repeated transmission of dirty pages in the pre-copy algorithm, this paper proposes a container pre-copy migration method called MBDPC, which based on dirty page prediction and page compression. The MBDPC method exploits the locality principle of program operations, uses the Random Forest model for dirty page prediction, and skips the transmission of repeated dirty pages. The MBDPC also uses the page incremental compression method in the transmission process, which further reduces the amount of data transmitted and the migration time. Experimental results show that the MBDPC method can significantly reduce the time and data transmission overhead of live migration compared with traditional pre-copy method.