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Makoto Takizawa - One of the best experts on this subject based on the ideXlab platform.
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AN APPLICATION-ORIENTED Power Consumption MODEL OF STORAGE SERVERS
Journal of Interconnection Networks, 2020Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto TakizawaAbstract:The electric Power Consumption of each information system has to be reduced in order to realize green societies. In information systems, clients issue requests to servers and the servers spend electric Power to handle the requests. We have to reduce the Power Consumption of servers since servers mainly consume electric Power compared with clients. 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 files in storage drives are manipulated on a server. First, we measure the Power Consumption rate of a server to perform processes in ST and CP applications. Here, there are read (R), write (W), and computation (C) types of processes which just read files, write files, and do computation, 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 maximum if at least one process is performed. The maximum Power Consumption rate of a server depends on types of processes concurrently performed on the server. We discuss algorithms to select one server in a set of storage servers so as to reduce the Power Consumption of the servers.
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An Integrated Power Consumption Model for Distributed Systems
IEEE Transactions on Industrial Electronics, 2013Co-Authors: Tomoya Enokido, Makoto TakizawaAbstract:In order to realize green ecosocieties, the total electric Power Consumption of computers and networks is required to be reduced. In applications on distributed systems, clients issue service requests to servers and then servers send replies to clients. Here, we discuss how much electric Power a server consumes since the Power Consumption of a client is neglectable compared with a server. We classify applications into transaction- and communication-based ones. A server mainly consumes CPU resources to perform the transaction-based applications. On the other hand, a server consumes communication resources to transmit a large volume of data to a client in communication-based applications. In our previous studies, the Power Consumption laxity-based and extended Power Consumption-based algorithms are proposed to select one of servers so that the total Power Consumption of servers is reduced for transaction- and communication-based applications, respectively. However, most applications are mixed types, i.e., composed of both the transaction and communication processing modules. Hence, we consider the mixed types of applications in this paper. First, we integrate the Power Consumption models of transaction- and communication-based applications into a modified simple Power Consumption (MSPC) model of a server. Based on the MSPC model, we propose an algorithm to select one of servers for mixed types of applications so that the total Power Consumption of servers can be reduced. We show the Power Consumption of servers can be reduced in the algorithm through the simulation.
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AINA - An Extended Power Consumption Model for Distributed Applications
2012 IEEE 26th International Conference on Advanced Information Networking and Applications, 2012Co-Authors: Tomoya Enokido, Makoto TakizawaAbstract:The Power Consumption of information systems, especially servers has to be reduced to realize green eco-society. A client first selects a server in a collection of possible servers and issues a request to the server. The request is performed as a process in the server. In this paper, we consider a computation type of application where CPU resource is mainly used in a server. It is critical to discuss how to select a server for each request from clients in order to reduce the total Power Consumption. The Power Consumption laxity based (PCLB)algorithm for selecting a server is discussed in this paper, where a server to consume the minimum Power to perform a process is selected. In a server, cooling devices like CPU fans consume the electronic Power in addition to CPU and other devices. In our previous studies, we assume the cooling devices consume the constant Power and propose the simple Power Consumption model. In the simple Power Consumption model, if at least one application process is performed on a server, the electric Power is maximally consumed on the server. Otherwise, the electric Power Consumption is minimum. The rotation speed of a fan is controlled in servers based on the temperature of CPU and in the server's case. Thus, the total Power Consumption of a server depends on not only the Power Consumption of computational devices like CPU but also the Power Consumption of cooling devices like fans. In this paper, we extend the simple Power Consumption model to take into account the Power Consumption of cooling devices. We improve the PCLB algorithm based on the extended simple Power Consumption model.
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NBiS - A Power Consumption Model of a Storage Server
2011 14th International Conference on Network-Based Information Systems, 2011Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto TakizawaAbstract:In order to realize digital ecosystems, the total electric Power Consumption of servers to perform application processes has to be reduced in information systems. Applications are classified into three types, computation, communication, and storage based types. In the computation and communication types of applications, CPU and communication resources of computers are mainly consumed, respectively. In this paper, we measure how much electric Power of a whole computer is consumed to perform application processes. In the storage types of applications, the electric Power is consumed to read and write files in to storage drives like hard disk drive (HDD). Then, we discuss a Power Consumption model of a computer to perform storage application processes by abstracting most factors dominating the Power Consumption from the experimental results. Here, the Power Consumption rate of a computer is maximum if at least one process is performed. Otherwise, the Power Consumption rate is minimum. This is a simple Power Consumption model.
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CISIS - A Power Consumption Model for Storage-based Applications
2011 International Conference on Complex Intelligent and Software Intensive Systems, 2011Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto Ikeda, Makoto TakizawaAbstract:In order to realize digital ecosystems, the total electric Power Consumption of servers to perform applications has to be reduced in information systems. Applications are classified into computation, communication, and storage based types. In the computation and communication based applications, CPU and communication resources of computers are mainly consumed, respectively. In the storage-based applications, the electric Power is consumed to access to storage drives like hard disk drives (HDDs) and solid state drives (SSDs). In this paper, we measure how much electric Power of a server computer is consumed to read and write data in types of storage drives. Then, we discuss a Power Consumption model of a computer to perform a storage-based applications based on the measurement of the Power Consumption of storage drives. Here, the Power Consumption rate of a server is maximum if at least one process is performed. Otherwise, the Power Consumption rate is minimum. This is a simple Power Consumption model.
Tomoya Enokido - One of the best experts on this subject based on the ideXlab platform.
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AN APPLICATION-ORIENTED Power Consumption MODEL OF STORAGE SERVERS
Journal of Interconnection Networks, 2020Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto TakizawaAbstract:The electric Power Consumption of each information system has to be reduced in order to realize green societies. In information systems, clients issue requests to servers and the servers spend electric Power to handle the requests. We have to reduce the Power Consumption of servers since servers mainly consume electric Power compared with clients. 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 files in storage drives are manipulated on a server. First, we measure the Power Consumption rate of a server to perform processes in ST and CP applications. Here, there are read (R), write (W), and computation (C) types of processes which just read files, write files, and do computation, 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 maximum if at least one process is performed. The maximum Power Consumption rate of a server depends on types of processes concurrently performed on the server. We discuss algorithms to select one server in a set of storage servers so as to reduce the Power Consumption of the servers.
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An Integrated Power Consumption Model for Distributed Systems
IEEE Transactions on Industrial Electronics, 2013Co-Authors: Tomoya Enokido, Makoto TakizawaAbstract:In order to realize green ecosocieties, the total electric Power Consumption of computers and networks is required to be reduced. In applications on distributed systems, clients issue service requests to servers and then servers send replies to clients. Here, we discuss how much electric Power a server consumes since the Power Consumption of a client is neglectable compared with a server. We classify applications into transaction- and communication-based ones. A server mainly consumes CPU resources to perform the transaction-based applications. On the other hand, a server consumes communication resources to transmit a large volume of data to a client in communication-based applications. In our previous studies, the Power Consumption laxity-based and extended Power Consumption-based algorithms are proposed to select one of servers so that the total Power Consumption of servers is reduced for transaction- and communication-based applications, respectively. However, most applications are mixed types, i.e., composed of both the transaction and communication processing modules. Hence, we consider the mixed types of applications in this paper. First, we integrate the Power Consumption models of transaction- and communication-based applications into a modified simple Power Consumption (MSPC) model of a server. Based on the MSPC model, we propose an algorithm to select one of servers for mixed types of applications so that the total Power Consumption of servers can be reduced. We show the Power Consumption of servers can be reduced in the algorithm through the simulation.
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AINA - An Extended Power Consumption Model for Distributed Applications
2012 IEEE 26th International Conference on Advanced Information Networking and Applications, 2012Co-Authors: Tomoya Enokido, Makoto TakizawaAbstract:The Power Consumption of information systems, especially servers has to be reduced to realize green eco-society. A client first selects a server in a collection of possible servers and issues a request to the server. The request is performed as a process in the server. In this paper, we consider a computation type of application where CPU resource is mainly used in a server. It is critical to discuss how to select a server for each request from clients in order to reduce the total Power Consumption. The Power Consumption laxity based (PCLB)algorithm for selecting a server is discussed in this paper, where a server to consume the minimum Power to perform a process is selected. In a server, cooling devices like CPU fans consume the electronic Power in addition to CPU and other devices. In our previous studies, we assume the cooling devices consume the constant Power and propose the simple Power Consumption model. In the simple Power Consumption model, if at least one application process is performed on a server, the electric Power is maximally consumed on the server. Otherwise, the electric Power Consumption is minimum. The rotation speed of a fan is controlled in servers based on the temperature of CPU and in the server's case. Thus, the total Power Consumption of a server depends on not only the Power Consumption of computational devices like CPU but also the Power Consumption of cooling devices like fans. In this paper, we extend the simple Power Consumption model to take into account the Power Consumption of cooling devices. We improve the PCLB algorithm based on the extended simple Power Consumption model.
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NBiS - A Power Consumption Model of a Storage Server
2011 14th International Conference on Network-Based Information Systems, 2011Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto TakizawaAbstract:In order to realize digital ecosystems, the total electric Power Consumption of servers to perform application processes has to be reduced in information systems. Applications are classified into three types, computation, communication, and storage based types. In the computation and communication types of applications, CPU and communication resources of computers are mainly consumed, respectively. In this paper, we measure how much electric Power of a whole computer is consumed to perform application processes. In the storage types of applications, the electric Power is consumed to read and write files in to storage drives like hard disk drive (HDD). Then, we discuss a Power Consumption model of a computer to perform storage application processes by abstracting most factors dominating the Power Consumption from the experimental results. Here, the Power Consumption rate of a computer is maximum if at least one process is performed. Otherwise, the Power Consumption rate is minimum. This is a simple Power Consumption model.
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CISIS - A Power Consumption Model for Storage-based Applications
2011 International Conference on Complex Intelligent and Software Intensive Systems, 2011Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto Ikeda, Makoto TakizawaAbstract:In order to realize digital ecosystems, the total electric Power Consumption of servers to perform applications has to be reduced in information systems. Applications are classified into computation, communication, and storage based types. In the computation and communication based applications, CPU and communication resources of computers are mainly consumed, respectively. In the storage-based applications, the electric Power is consumed to access to storage drives like hard disk drives (HDDs) and solid state drives (SSDs). In this paper, we measure how much electric Power of a server computer is consumed to read and write data in types of storage drives. Then, we discuss a Power Consumption model of a computer to perform a storage-based applications based on the measurement of the Power Consumption of storage drives. Here, the Power Consumption rate of a server is maximum if at least one process is performed. Otherwise, the Power Consumption rate is minimum. This is a simple Power Consumption model.
Takuro Inoue - One of the best experts on this subject based on the ideXlab platform.
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AN APPLICATION-ORIENTED Power Consumption MODEL OF STORAGE SERVERS
Journal of Interconnection Networks, 2020Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto TakizawaAbstract:The electric Power Consumption of each information system has to be reduced in order to realize green societies. In information systems, clients issue requests to servers and the servers spend electric Power to handle the requests. We have to reduce the Power Consumption of servers since servers mainly consume electric Power compared with clients. 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 files in storage drives are manipulated on a server. First, we measure the Power Consumption rate of a server to perform processes in ST and CP applications. Here, there are read (R), write (W), and computation (C) types of processes which just read files, write files, and do computation, 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 maximum if at least one process is performed. The maximum Power Consumption rate of a server depends on types of processes concurrently performed on the server. We discuss algorithms to select one server in a set of storage servers so as to reduce the Power Consumption of the servers.
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NBiS - A Power Consumption Model of a Storage Server
2011 14th International Conference on Network-Based Information Systems, 2011Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto TakizawaAbstract:In order to realize digital ecosystems, the total electric Power Consumption of servers to perform application processes has to be reduced in information systems. Applications are classified into three types, computation, communication, and storage based types. In the computation and communication types of applications, CPU and communication resources of computers are mainly consumed, respectively. In this paper, we measure how much electric Power of a whole computer is consumed to perform application processes. In the storage types of applications, the electric Power is consumed to read and write files in to storage drives like hard disk drive (HDD). Then, we discuss a Power Consumption model of a computer to perform storage application processes by abstracting most factors dominating the Power Consumption from the experimental results. Here, the Power Consumption rate of a computer is maximum if at least one process is performed. Otherwise, the Power Consumption rate is minimum. This is a simple Power Consumption model.
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CISIS - A Power Consumption Model for Storage-based Applications
2011 International Conference on Complex Intelligent and Software Intensive Systems, 2011Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto Ikeda, Makoto TakizawaAbstract:In order to realize digital ecosystems, the total electric Power Consumption of servers to perform applications has to be reduced in information systems. Applications are classified into computation, communication, and storage based types. In the computation and communication based applications, CPU and communication resources of computers are mainly consumed, respectively. In the storage-based applications, the electric Power is consumed to access to storage drives like hard disk drives (HDDs) and solid state drives (SSDs). In this paper, we measure how much electric Power of a server computer is consumed to read and write data in types of storage drives. Then, we discuss a Power Consumption model of a computer to perform a storage-based applications based on the measurement of the Power Consumption of storage drives. Here, the Power Consumption rate of a server is maximum if at least one process is performed. Otherwise, the Power Consumption rate is minimum. This is a simple Power Consumption model.
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A Power Consumption Model of a Storage Server
2011 14th International Conference on Network-Based Information Systems, 2011Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto TakizawaAbstract:In order to realize digital ecosystems, the total electric Power Consumption of servers to perform application processes has to be reduced in information systems. Applications are classified into three types, computation, communication, and storage based types. In the computation and communication types of applications, CPU and communication resources of computers are mainly consumed, respectively. In this paper, we measure how much electric Power of a whole computer is consumed to perform application processes. In the storage types of applications, the electric Power is consumed to read and write files in to storage drives like hard disk drive (HDD). Then, we discuss a Power Consumption model of a computer to perform storage application processes by abstracting most factors dominating the Power Consumption from the experimental results. Here, the Power Consumption rate of a computer is maximum if at least one process is performed. Otherwise, the Power Consumption rate is minimum. This is a simple Power Consumption model.
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A Power Consumption Model for Storage-based Applications
2011 International Conference on Complex Intelligent and Software Intensive Systems, 2011Co-Authors: Takuro Inoue, Tomoya Enokido, Ailixier Aikebaier, Makoto Ikeda, Makoto TakizawaAbstract:In order to realize digital ecosystems, the total electric Power Consumption of servers to perform applications has to be reduced in information systems. Applications are classified into computation, communication, and storage based types. In the computation and communication based applications, CPU and communication resources of computers are mainly consumed, respectively. In the storage-based applications, the electric Power is consumed to access to storage drives like hard disk drives (HDDs) and solid state drives (SSDs). In this paper, we measure how much electric Power of a server computer is consumed to read and write data in types of storage drives. Then, we discuss a Power Consumption model of a computer to perform a storage-based applications based on the measurement of the Power Consumption of storage drives. Here, the Power Consumption rate of a server is maximum if at least one process is performed. Otherwise, the Power Consumption rate is minimum. This is a simple Power Consumption model.
Randolph Y Wang - One of the best experts on this subject based on the ideXlab platform.
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modeling hard disk Power Consumption
File and Storage Technologies, 2003Co-Authors: John Zedlewski, Sumeet Sobti, Nitin Garg, Fengzhou Zheng, Arvind Krishnamurthy, Randolph Y WangAbstract:Excessive Power Consumption is a major barrier to the market acceptance of hard disks in mobile electronic devices. Studying and reducing Power Consumption, however, often involves running time-intensive disk traces on real hardware with specialized Power-monitoring equipment. This paper presents Dempsey, a disk simulation environment that includes accurate modeling of disk Power Consumption. It includes tools to automatically extract performance and Power Consumption parameters from a given disk drive, without needing detailed specifications from the manufacturer. The tools use stimulus-based measurements to extract these parameters. Dempsey is experimentally validated for two mobile hard disks, namely, the 1 GB IBM Microdrive and the 5 GB Toshiba Type II PC Card HDD. In the worst observed case, Dempsey's estimate of Power Consumption differs from the measured Consumption by 7.5%. This demonstrates that disk Power Consumption can be simulated both efficiently and accurately.
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FAST - Modeling Hard-Disk Power Consumption
2003Co-Authors: John Zedlewski, Sumeet Sobti, Nitin Garg, Fengzhou Zheng, Arvind Krishnamurthy, Randolph Y WangAbstract:Excessive Power Consumption is a major barrier to the market acceptance of hard disks in mobile electronic devices. Studying and reducing Power Consumption, however, often involves running time-intensive disk traces on real hardware with specialized Power-monitoring equipment. This paper presents Dempsey, a disk simulation environment that includes accurate modeling of disk Power Consumption. It includes tools to automatically extract performance and Power Consumption parameters from a given disk drive, without needing detailed specifications from the manufacturer. The tools use stimulus-based measurements to extract these parameters. Dempsey is experimentally validated for two mobile hard disks, namely, the 1 GB IBM Microdrive and the 5 GB Toshiba Type II PC Card HDD. In the worst observed case, Dempsey's estimate of Power Consumption differs from the measured Consumption by 7.5%. This demonstrates that disk Power Consumption can be simulated both efficiently and accurately.
Chan-hyun Youn - One of the best experts on this subject based on the ideXlab platform.
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A MISO model for Power Consumption in virtualized servers
Cluster Computing, 2015Co-Authors: Fawaz Al-hazemi, Yuyang Peng, Chan-hyun YounAbstract:Energy efficiency is always a concern in hosting servers. When any new development is added to a host server, the Power Consumption of the host server must be theoretically and empirically re-evaluated. Because of the ongoing development trends in computing systems at the hardware, software and middleware levels, deriving a direct mathematical model for quantifying the Power Consumption of a host server is difficult. Therefore, a system identification is used to construct the Power Consumption model for virtualized hosting servers. To date, three types of system identifications have been used in the literature for defining the Power Consumption model: the first-principles, the black-box and the gray-box identification approaches. To the best of our knowledge, the majority of these approaches are apparently used to model the Power Consumption in a single-input single-output (SISO) system model, in which a hardware component is reconfigured to meet the Power budget target. In this paper, to accommodate the ongoing development trends in computing systems, we propose a multi-input single-output (MISO) model for modeling the Power Consumption of virtualized hosting servers. We use the black-box system identification method, and we utilize the Auto-Regressive eXogenous (ARX) mathematical model to construct the MISO Power model. We compare our MISO Power model with the SISO Power model that is used in existing state-of-the-art works. Empirically, our MISO Power model exhibits higher accuracy than the existing SISO Power model in predicting Power Consumption. Using our model, we can achieve approximately 98 % accuracy in predicting the Power Consumption of virtualized hosting servers.
