A Model for Reducing Power Consumption in Peer-to-Peer Systems

Enokido, Tomoya; Aikebaier, Ailixier; Takizawa, Makoto

doi:10.1109/jsyst.2010.2047296

Cited by 204 publications

(95 citation statements)

References 14 publications

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“…In CP processes [26], as in scientific computation applications, CPU resources are mainly consumed on servers. Here, a combination of the simple power consumption (SPC) model and the multi-level power consumption (MLPC) model is proposed in the papers [4,19,20,27]. In the SPC model, a server consumes power at the maximum rate if at least one process is performed.…”

Section: Related Studiesmentioning

confidence: 99%

“…The extended simple power consumption (ESPC) model is discussed by taking into consideration the cooling devices such as fans [22]. Algorithms to select one server in a set of possible servers for an application process are discussed so that not only the deadline constraint of the process holds but also the total power consumption of the system is reduced [20][21][22]27]. In the paper [27], it is shown that the power consumption in communication applications such as FTP (file transfer protocol) [28] depends on the total transmission rate at and the number of clients to which the server sends files.…”

Section: Tablementioning

confidence: 99%

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Power consumption and processing models of servers in computation and storage based applications

Inoue

Aikebaier

Enokido

et al. 2013

Mathematical and Computer Modelling

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a b s t r a c tThe electric power consumption of information systems has to be reduced in addition to increasing the performance and fault tolerance in order to realize green societies. Here, servers mainly consume electric power to perform processes requested by clients compared with clients. We consider computation (CP) and storage (ST ) types of application processes on servers. In CP processes, CPU is mainly consumed as in scientific computation. In ST processes, files in storage drives are mainly manipulated. First, we present the storage and computation based power consumption (SCBPC) model of a server to perform ST and CP processes. In the SCBPC model, the power consumption rate of a server depends on the types of processes concurrently performed and is independent of the number of processes. Then, we discuss the storage and computation based processing (SCBP) model to perform CP and ST processes on a server. Here, the execution times of a CP process and an ST process depend on the number of CP processes and the number of CP and ST processes concurrently performed, respectively. By using the SCBPC and SCBP models, we discuss an energy-aware (EA) algorithm to select a server for a process so that not only the execution time but also the power consumption can be reduced. We evaluate the EA algorithm in terms of total power consumption of servers and total execution time of processes. We show not only the total power consumption but also the total execution time can be reduced in the EA algorithm.

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Section: Related Studiesmentioning

confidence: 99%

Section: Tablementioning

confidence: 99%

Power consumption and processing models of servers in computation and storage based applications

Inoue

Aikebaier

Enokido

et al. 2013

Mathematical and Computer Modelling

Self Cite

View full text Add to dashboard Cite

show abstract

“…For each system, the table indicates (i) the energy-saving technique used; (ii) whether or not the system focuses on mobile networks; and (iii) whether or not it is based on a structured overlay (e.g., a DHT). As shown in the table, the proposed system is the only wired peer-to-peer network combining the scalability of a structured overlay with the effectiveness of the [8,9] Task allocation optimization No No Gurun et al [17] Sleep-and-wake Yes Yes Han et al [23] Overlay structure optimization Yes No Hlavacs et al [21] Sleep-and-wake No No Joseph et. al [11] Location-based Yes Yes Jourjon et al [19] Sleep-and-wake No No Kelenyi and Nurminen [10] Message reduction No Yes Lefebvre and Feeley [14] Sleep-and-wake No No Lee et al [16] Sleep-and-wake No No Leung and Kwok [22] Topology control Yes No Park and Valduriez [12] Location-based Yes No Purushothaman et al [6] Proxying No No Sucevic et al [18] Sleep-and-wake No No Tung and Lin [13] Location sleep-and-wake approach.…”

Section: Introductionmentioning

confidence: 99%

A two‐layer model for improving the energy efficiency of file sharing peer‐to‐peer networks

Trunfio

2014

Concurrency and Computation

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SUMMARYAs peer-to-peer networks gather and share large sets of computing resources, their aggregate energy consumption is an important problem to be addressed, given the economic and environmental impact of energy production and use. This is particularly true for file sharing peer-to-peer networks, considered the vast number of nodes participating to these systems. To address such problem, this paper proposes a peer-to-peer file sharing model organized in two logical layers. The lower layer is composed of a set of peers providing the files to be shared. The upper layer includes a set of super peers organized to form a distributed hash table, whose purpose is indexing files and peers, including their availability status. Following a sleepand-wake approach, energy saving is achieved by letting peers cyclically switch between normal and sleep modes, where the time passed in normal mode by a peer depends on the number of files it provides. An energy-saving algorithm and an associated file search and retrieval strategy are proposed within this model. Simulation results show that more than 50% of energy can be saved using the proposed model and that more than 80% of file downloads start with no additional delay compared with a network in which all peers are always powered on.

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“…In CP processes such as scientific computation applications, CPU resources are mainly consumed on servers. Here, the simple and extended power consumption models [2,4,7,8] are discussed. The power consumption rate of a server to perform CP processes is maximum if at least one process is performed and minimum if no process is performed.…”

Section: Introductionmentioning

confidence: 99%

“…In CM processes like FTP (file transfer protocol) [9], data are mainly transmitted. The power consumption model [7] to perform CM processes is discussed. Here, the power consumption rate of a server is proportional to the total transmission rate.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient dynamic clusters of servers

et al. 2014

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Electric power consumed by servers has to be reduced in order to realize green societies. We consider computation (CP) and storage (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 model proposed by the authors, the power consumption rate of a server depends on what types of processes are performed but is independent of how may processes are performed on the server. In the storage-and computation-based processing model, the execution time of an ST process depends on the number of concurrent CP and ST processes but the execution time of a CP process depends on only CP processes and is independent of ST processes. In our previous studies, the energy-aware algorithm is discussed to select a server in a cluster of servers for each request so that the total power consumption of the servers can be reduced. However, a server consumes electric power even if the server is idle, i.e. no process is performed. In this paper, we discuss a dynamic energyaware (DEA) cluster which includes only active servers where at least one process is performed. A server for each request is selected in a dynamic cluster so that the total 123 D. Duolikun et al.power consumption of servers in the cluster can be reduced. We evaluate the DEA algorithm in terms of the total power consumption and average execution time and show the total power consumption can be reduced.

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A Model for Reducing Power Consumption in Peer-to-Peer Systems

Cited by 204 publications

References 14 publications

Power consumption and processing models of servers in computation and storage based applications

Power consumption and processing models of servers in computation and storage based applications

A two‐layer model for improving the energy efficiency of file sharing peer‐to‐peer networks

Energy-efficient dynamic clusters of servers

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