Performance evaluation of MEGADOCK protein–protein interaction prediction system implemented with distributed containers on a cloud computing environment
Container-based virtualization has begun to be introduced into large-scale parallel computing environments. In the bioinformatics field, where various dependent libraries and software tools need to be combined, the container technology that isolates the software environment and enables rapid distribution as in an immediate executable format, is expected to have many benefits. In this study, we employed Docker, which is an implementation of Linux containers, and implemented a distributed computing environment of our original protein-protein interaction prediction system, MEGADOCK, with virtual machine instances on Microsoft Azure cloud computing environment, and evaluated its parallel performance. Both when MEGADOCK was directly performed on the virtual machine and also when it is performed with Docker containers of MEGADOCK on the virtual machine, the execution speed achieved was almost equal even if the number of worker cores was increased up to approx. 500 cores.
各種検索
サポート
ヘルプ