Published at : 31 Jul 2017
Volume : IJtech
Vol 8, No 4 (2017)
DOI : https://doi.org/10.14716/ijtech.v8i4.9478
Agung Putra Pasaribu | Faculty of Computer Science, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia |
Muhammad Fajar Siddiq | Faculty of Computer Science, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia |
Muhammad Irfan Fadhila | Faculty of Computer Science, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia |
Muhammad H. Hilman | Faculty of Computer Science, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia |
Arry Yanuar | Faculty of Pharmacy, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia |
Heru Suhartanto | Faculty of Computer Science, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia |
The rapid growth of information technology and internet access has moved many offline activities online. Cloud computing is an easy and inexpensive solution, as supported by virtualization servers that allow easier access to personal computing resources. Unfortunately, current virtualization technology has some major disadvantages that can lead to suboptimal server performance. As a result, some companies have begun to move from virtual machines to containers. While containers are not new technology, their use has increased recently due to the Docker container platform product. Docker’s features can provide easier solutions. In this work, insilico drug discovery applications from molecular modelling to virtual screening were tested to run in Docker. The results are very promising, as Docker beat the virtual machine in most tests and reduced the performance gap that exists when using a virtual machine (VirtualBox). The virtual machine placed third in test performance, after the host itself and Docker.
Cloud computing; Docker container; Molecular modeling; Virtual screening