Algorithms for Selecting Energy-Efficient Storage Servers in Storage and Computation Oriented Applications

The electric power consumption of servers has to be reduced in information systems in order to realize green societies. In information systems, servers mainly consume the electric power to process regrets from clients. We have to reduce the electric power consumed by servers. There are computation (CP), communication (CM), and storage (ST) types of applications to be performed on servers. In CP and CM applications, CPU and communication resources are mainly consumed, respectively. In this paper, we consider ST applications where storage drives are manipulated on a server in addition to CP applications. First, we measure the power consumption of a server to perform CP and ST types of application processes, C, R, and W processes which just compute, read files, and write files, respectively. Then, we discuss a power consumption model of a server by abstracting most essential parameters dominating the power consumption of the server from the experimental results. Here, the power consumption rate of a server is max um if at least one process is performed. However, the maximum power consumption rate of a server depends on types of processes concurrently performed on the server. In addition, we obtain an access rate model to show how long it takes to perform each type of process concurrently with other processes. By using both the power consumption model and the access rate model, we discuss algorithms from selecting a server so that not only the execution time but also the power consumption can be reduced.