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Application processes like Web applications use not only CPU but also storages like HDD. In our previous studies, the algorithms to select a server in a cluster are proposed to energy efficiently perform processes which use either CPU or storages. In this paper, we consider a more general type of processes which do both the computation and access to storages. In this paper, we propose a computation...
It is critical to reduce the electric energy consumed in information systems, especially server clusters. In ourprevious studies, the MLPCM (multi-level power consumption with multiple CPUs) and MLCM (multi-level computation with multiple CPUs) models are proposed with server selection algorithms. In the server selection algorithms, a server is selected to perform a process issued by a client by estimating...
It is now critical to reduce electric energy consumed by servers in a cluster, especially scalable systems like cloud computing systems. In a cluster of servers, most application processes like Web applications use not only CPU but also storages like HDD. In our previous studies, the power consumption MLPCS model and computation MLCMS model are proposed. Ways to energy-efficiently perform processes...
It is critical to reduce the electric energy consumed in information systems, especially server clusters. In this paper, we discuss an MLPCM (multi-level power consumption with multiple CPUs) model and an MLCM (multi-level computation with multiple CPUs) model of a server with multiple CPUs. In this paper, we newly propose a modified globally energy-aware (MEA) algorithm to select a server for a process...
It is now critical to reduce electric energy consumed in a cluster of servers, especially scalable systems like cloud computing systems. In clusters, most application processes like web applications use not only CPU but also storages like databases. In this paper, we consider storage processes which read and write data in files in addition to computation processes. We propose an MLPCMS (power consumption...
It is critical to reduce the electric energy consumed in information systems, especially server clusters. In this paper, we extend the multi-level power consumption (MLPC) model and the multi-level computation (MLC) model to a server with multiple CPUs. In this paper, we newly propose a totally energy-aware (TEA) algorithm to select a server for a process in a cluster. Here, servers in a cluster are...
It is now critical to reduce electric energy consumed in a cluster of servers, especially scalable systems like cloud computing systems. In clusters, most application processes like web applications use not only CPU resources but also files and databases. In this paper, we consider storage processes which read and write data in files in addition to computation processes. We propose a PCS model (power...
It is now critical to reduce electric energy consumed in a cluster of servers, especially scalable systems including a huge number of servers like cluster computing systems. Types of application processes like computation, storage, and communication processes are performed on servers in clusters. In clusters, most applications use not only CPU resources but also storage drives like database and web...
Information systems are getting scalable like cloud computing systems and Internet of Things (IoT). It is critical to reduce electric energy consumed in our society. In information systems, we have to reduce the electric energy consumed by computers, especially servers in clusters to perform application processes. Types of application processes like computation, storage, and communication processes...
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