Energy-Efficient Computation Models for Distributed Systems

Aikebaier, Ailixier; Yang, Yan; Enokido, Tomoya; Takizawa, Makoto

doi:10.1109/nbis.2009.61

Cited by 41 publications

(28 citation statements)

References 5 publications

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“…We consider the simple power consumption (SPC) model [1], [8], [9] of a server to perform application processes. In this paper, a term process stands for an application process.…”

Section: B Power Consumption Modelmentioning

confidence: 99%

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Asynchronous Migration of Process Replicas in a Cluster

Duolikun

Enokido

Hsu

et al. 2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications

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Application processes have to be efficiently and reliably performed on servers in a cluster. A process is replicated to increase the reliability and availability. However, the more number of replicas of a process are performed, the more reliable and available the system is but the more amount of electric energy is consumed. In this paper, we take a process migration (MG) approach to energy-efficiently and reliably performing an application process on servers in a cluster. A process performed on a current server is migrated to another server if the server is expected to consume a smaller amount of electric energy to perform the process than the current server while the deadline constraint of the process is satisfied. In order to reliably perform a process, multiple replicas of the process are performed on different servers. We consider synchronous and asynchronous ways to migrate process replicas to servers. In the synchronous migration, every replica moves to another server on a same computation state. In the asynchronous migration, each replica by itself makes a decision on when the replica is migrated to another server.

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“…We consider the simple power consumption (SPC) model [1], [8], [9] of a server to perform application processes. In this paper, a term process stands for an application process.…”

Section: B Power Consumption Modelmentioning

confidence: 99%

“…In order to reliably perform processes, each process is replicated and the replicas are redundantly performed on multiple servers [1], [2], [8], [9], [10], [11], [12], [15]. Here, a process can be successfully performed as long as at least one replica of the process is operational in the active replication [2].…”

Section: Introductionmentioning

confidence: 99%

Asynchronous Migration of Process Replicas in a Cluster

Duolikun

Enokido

Hsu

et al. 2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications

Self Cite

View full text Add to dashboard Cite

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“…In order to design and evaluate energy-aware algorithms, we first have to make a formal model to show how a server consumes electric power to perform application processes [19]. We take an experimentation-based approach to modelling the power consumption of a server [20][21][22][23][24].…”

Section: Related Studiesmentioning

confidence: 99%

“…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%

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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“…In order to reliably perform processes, each process is replicated to multiple replicas which are performed on different servers [1], [2], [14], [15], [16], [17], [18], [21]. In this paper, we assume every server suffers from stop-fault.…”

Section: Introductionmentioning

confidence: 99%

Energy-Aware Migration and Replication of Processes in a Cluster

Duolikun

Kataoka

Nakamura

et al. 2015

2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA)

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Application processes have to be efficiently performed in presence of server faults in a cluster. Replicas of a process are performed on multiple servers to be tolerant of server faults. However, the more number of replicas of a process are performed, the more reliably and availably the process can be performed but the more amount of electric energy is consumed by servers. In this paper, we take a process migration approach to reliably and energy-efficiently performing process replicas. A process is replicated to multiple replicas. Each replica is performed on a server different from the other replicas to realize fault-tolerant computation. In addition, each replica of process migrates from a current server to another server if the current server is expected to consume the more electric energy. Thus, replicas migrate to servers to reduce the total electric energy consumption of the cluster.

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Energy-Efficient Computation Models for Distributed Systems

Cited by 41 publications

References 5 publications

Asynchronous Migration of Process Replicas in a Cluster

Asynchronous Migration of Process Replicas in a Cluster

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

Energy-Aware Migration and Replication of Processes in a Cluster

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