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Virtual machines are now widely used to support applications with virtual computation service in server clusters. Here, a virtual machine can migrate to a guest server while processes are being performed. In this paper, we discuss a virtual machine migration approach to reducing the electric energy consumption of servers. We newly propose two types of algorithms, energy-aware virtual machine selection...
It is critical to reduce the electric energy consumed in server clusters in order to realize eco society. In our previous studies, a server is selected to perform a process by estimating the termination time of every current process and then the electric energy consumption of servers. However, it is not easy and takes time to collect the state of each process and estimate the termination time of each...
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...
Smart Grids (SGs) have many advantages over traditional power grids as they enhance the way electricity is generated, distributed, and consumed by adopting advanced sensing, communication, and control functionalities that depend on power consumption profiles of consumers. Clustering algorithms (e.g., centralized clustering) are used for profiling individuals’ power consumption. Due to the distributed...
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...
We have to reduce the electric energy consumed by servers in a cluster in order to realize eco-society. Types of algorithms for a request process to select an energy-efficient server in a cluster of servers are proposed in our previous studies. Furthermore, algorithms for energy-efficiently migrating a process on a host server to a more energy-efficient guest server is discussed. Virtual machines...
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...
We have to reduce the electric energy consumed by servers in a cluster. In our previous studies, types of algorithms to select an energy-efficient server for a request process are proposed. Furthermore, schemes for energy-efficiently migrating a process and replicas of a process are discussed where a process and a replica migrate on a host server to a more energy-efficient guest server in our previous...
The electric power consumed by servers has to be reduced in a cluster in order to realize eco society. We take a macro level approach to reducing the total electric energy consumption of servers to perform application processes in a server cluster. Servers are now equipped with multi-core CPUs. In this paper, we discuss a multi-level power consumption (MLPC) model of a server with a multi-core CPU...
The power consumption of servers has to be reduced in a cluster to realize eco society. In this paper, we discuss power consumption models of servers. We take a macro level approach to reducing the total power consumption of servers to perform application processes. A server is equipped with a multi-core CPU. Through measuring electric power consumed by types of servers to perform application processes,...
Application processes have to be efficiently performed on servers in a cluster with respect to not only performance but also electric energy consumption. In this paper, we consider a process migration (MG) approach to energy-efficiently performing application processes on servers in a cluster. First, a client issues an application process to a server in a cluster. A process performed on a current...
In order to realize high performance information systems, server cluster systems are widely used. Here, since application processes are performed on multiple servers, the larger electric energy is consumed in a server cluster. The delay time-based (DTB) algorithm is discussed to select a server for each request process so that the total energy consumption of a server cluster to perform application...
Application processes have to be efficiently performed on servers in a cluster with respect to not only performance but also energy consumption. In this paper, we consider a process migration (MG) approach to energy-efficiently performing an application process on servers in a cluster. In this paper, we propose a model to estimate the energy consumption of a server to perform processes. First, a process...
Application processes have to be not only fault-tolerantly but also energy-efficiently performed in presence of server faults in a cluster of servers. In our previous studies, the extended improved redundant power consumption laxity-based (EIRPCLB) algorithm is proposed where a process is actively replicated on multiple servers. While the cluster can be fault-tolerant, the larger amount of electric...
In the field of cloud computing, energy efficiency plays a major role. This is because the usage of cloud is increasing and so is the cost of energy; and also there is a necessity to reduce the carbon emission which occurs due to the usage of information and communication technologies (ICT). Hence there is a need for energy-efficient technologies that should reduce the overall energy consumption that...
Electric power consumed by servers has to be reduced in order to realize green societies. We consider computation ({\it{CP}}) and storage ({\it{ST}}) types of application processes performed on servers in this paper, where CPU and storage drives are mainly used, respectively. In the storage and computation based power consumption (SCBPC) model proposed by the authors, the power consumption rate of...
It is critical to discuss how to realize not only energy-aware but also robust clusters of servers. A client usually issues a request to one server in a cluster and the server sends a reply to the client. Once the server stops by fault, the client does not receive a reply of the request and might be suspended to wait for a reply. Hence, each request is redundantly performed on multiple servers to...
In energy-aware information systems, it is critical to discuss how to select a server for each request from clients in order to not only achieve performance objectives but also reduce the total power consumption of a system. In addition, application requests have to be reliably performed in presence of server faults. In our previous studies, the improved power consumption laxity based (IPCLB) algorithm...
In order to realize energy-aware information systems, it is critical to discuss how to reduce the total electric power consumption of information systems. In this paper, we consider communication type applications where a server transmits a large volume of data to clients. A client first selects a server in a cluster of servers and issues a file transmission request to the server. In order to realize...
The electric power consumption of information systems has to be reduced in addition to increasing the performance and fault-tolerancy in order to realize green societies. In information systems, servers mainly consume the electric power to perform processes requested by clients. We consider computation (CP) and storage (ST) types of application processes on servers. In CP and ST processes, CPU and...
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