| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
Cloud computing systems equipped with virtual machines are widely used to realize scalable, high performance and fault-tolerant information systems. Application processes are performed on virtual machines in a cloud computing system. Here, a large amount of electric energy is consumed in a cloud computing system since a cloud computing system is composed of a large number of servers and multiple servers consume electric energy to perform application processes on multiple virtual machines. In order to design an energy-efficient cloud computing system, processing load of virtual machines to perform application processes has to be balanced with one another and the total electric energy consumption of a cloud computing system has to be reduced. In this study, load balancing algorithms to allocate application processes to virtual machines are proposed so that the total electric energy consumption of a cloud computing system and the average computation time of each process can be reduced.
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