Improvement of Simulation Platform for providing reliable and easy use model simulation environment
Hidetoshi Ikeno (University of Hyogo), Tadashi Yamazaki (University of Electro-Communications), Yoshihiro Okumura (RIKEN Brain Science Institute), Shunji Satoh (University of Electro-Communications), Yoshimi Kamiyama (Aichi Prefectural University), Yutaka Hirata (Chubu University), Keiichiro Inagaki (RIKEN Brain Science Institute), Akito Ishihara (Chukyo University), Takayuki Kannon (RIKEN Brain Science Institute), Hiroaki Wagatsuma (Kyushu Institute of Technology), Shiro Usui (RIKEN Brain Science Institute)
In this study, we have developed our new VM system based on the IaaS (Infrastructure as a Service) technology. We examined various open-source IaaS frameworks for our backend system, according to the stability, usability, implementation and activity of the development. As a result, we judged that OpenNebula (http://opennebula.org/) was suitable for our purpose. OpenNebula has been actively developed for more than 4 years and is robust enough for large-scale public cloud systems. The system is composed of a small and efficient core written in C and a rich and friendly ecosystem written in Ruby that wraps the core. OpenNebula comes with a graphical user interface for system administration, which allows an administrator to add/delete hosts and VMs, monitor the system status, and manage users from a web browser (Fig.1).
Owing to the new system, it is not only enhanced reliability for many user accesses, but also scalability of our platform. It could be realized new functions, such as offering various VMs, which run on non-Linux operating system and different version of software. Based on the new VM, we start our service publically with runnable contents and their documents from this year. We will increase the volume and also type of contents, for example, 2D and 3D brain image viewing function for large-scale image data in the NIJC platforms, such as Invertebrate brain and Neuro-Imaging platforms.