Container encapsulates the application, the supporting software, and the operating system libraries as an image. The application is updated through publishing a newer image version. That would lead a certain degree of duplications between the neighboring versions. The loading process of container image is time-consuming and delays the starting time of a container from milliseconds to seconds or minutes. Reusing the same data of previous versions can help to reduce the loading time. The layered loading and inheritance features adopted by container can help to reuse the supporting software and the operating system libraries effectively in image loading. However, reusing the application data is currently not supported. This study proposed a container image loading methodology based on chunking reuse of older versions to improve the image loading performance. A boundary matching based chunking method was used to divide the image layers into fine-gained data chunk, the chunk hash value was used as the unique identification fingerprint. The B-tree was used to find the same blocks and the same blocks were reused to speed up the loading process. Experimental results show that the proposed method can improve 5.8X container image loading speed.