Scalable Distributed Systems based on Echo Model

研究成果の概要 (和文) : 情報システムで消費される電力量を低減するために、応用プロセスを実行したときにコンピュータ全体で消費される電力量を考えるソフトウェアの観点にたったマクロレベル方法論に基づいて研究を行った。本研究課題では、プロセスをサーバ間で移行させることにより、サーバのクラスタ全体の消費電力量を低減させる方式を新たに提案している。特に、仮想マシンを用いて、仮想マシンをサーバ間で移行させるアルゴリズムを研究した。開発したエコ分散シミュレータを用いて評価を行い、仮想マシン移行アルゴリズムにより、クラスタ全体の消費電力を低減し、各プロセスの実行時間を短縮できることを示した。研究成果の概要 (英文) : In this research, we newly proposed a macro-level approach to reduce the total energy consumption of a server to perform application processes. We newly discussed a migration approach where processes migrate to another server which is expected to consume smaller energy. Especially, processes migrate from a host server to a guest server by migrating virtual machines. By using virtual machines, processes on virtual machines can migrate without suspending the processes, i.e. live migration. As number of processes increases, virtual machines are newly created. A group of virtual machines migrate among servers. We also developed an eco simulator where the electric energy to be consumed by servers to perform application processes can be obtained. In the evaluation using the eco simulator, the total electric energy consumption [J] of servers and average execution time [sec] of processes can be reduced in the virtual machine algorithm proposed in this research compared with other algorithms

The Challenges of Adopting Cloud Computing in Nigerian Government Organizations

Several technical challenges prevent the adoption of cloud computing by government organizations in Nigeria. Information technology (IT) leaders in the Nigerian government are concerned about this problem because the lack of cloud computing adoption may prevent the Nigerian government from taking advantage of cloud-based information systems to improve its service delivery to citizens and businesses. Grounded in the technology acceptance model, the purpose of this quantitative correlational study was to examine if IT administrators’ perception of data security and perception of fault tolerance can predict their intentions to adopt cloud computing. Data were collected from 79 IT administrators in government organizations in Nigeria. The results of the multiple regression were significant, F(2, 76) = 31.58, p \u3c .001, R2 = 0.45, with IT administrators’ perception of data security (β = .72, p \u3c .001) being the only significant predictor of IT administrators’ intention to adopt cloud computing; IT administrators’ perception of fault tolerance (β = .09, p = .37) was not a significant predictor of IT administrators’ intention to adopt cloud computing. The Nigerian government may use this study as a pedestal to measure cloud computing practice and maturity in all its organizations, improve existing cloud computing policies, and increase cloud computing training programs for its IT administrators. This study’s results might contribute to positive social change by helping the Nigerian government improve its service delivery to citizens and businesses through the increased adoption of cloud computing-based information systems