An extended power consumption-based algorithm for communication-based applications

In information systems, it is critical to reduce the total electrical power consumption of computers and networks in order to realize the eco society. In our previous studies, a pair of PCB (power consumption-based) and TRB (transmission rate-based) algorithms are proposed to select one of servers s...

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Published inJournal of ambient intelligence and humanized computing Vol. 2; no. 4; pp. 263 - 270
Main Authors Enokido, Tomoya, Aikebaier, Ailixier, Takizawa, Makoto
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer-Verlag 01.12.2011
Springer Nature B.V
Subjects
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ISSN1868-5137
1868-5145
DOI10.1007/s12652-010-0044-9

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Abstract In information systems, it is critical to reduce the total electrical power consumption of computers and networks in order to realize the eco society. In our previous studies, a pair of PCB (power consumption-based) and TRB (transmission rate-based) algorithms are proposed to select one of servers so that the total power consumption of the servers is reduced for communication-based applications. In addition, the PCB algorithm is shown to be more useful for reducing the total power consumption than the TRB one. However, we consider only how much amount of electric power a server is expected to consume to transmit a file to a new requesting client in the PCB algorithm. Here, the server might be transmitting files to other clients. Therefore, we have to estimate the power consumption to transmit a file to a new client by considering how much power consumption the server would spend to transmit files to other clients. In this paper, we newly propose an extended power consumption-based (EPCB) algorithm by improving the PCB algorithm by taking into consideration how much power a server consumes to transmit files to every requesting client. In the evaluation, we show the total power consumption of servers can be more reduced by the EPCB algorithm than the PCB and TRB algorithms.
AbstractList In information systems, it is critical to reduce the total electrical power consumption of computers and networks in order to realize the eco society. In our previous studies, a pair of PCB (power consumption-based) and TRB (transmission rate-based) algorithms are proposed to select one of servers so that the total power consumption of the servers is reduced for communication-based applications. In addition, the PCB algorithm is shown to be more useful for reducing the total power consumption than the TRB one. However, we consider only how much amount of electric power a server is expected to consume to transmit a file to a new requesting client in the PCB algorithm. Here, the server might be transmitting files to other clients. Therefore, we have to estimate the power consumption to transmit a file to a new client by considering how much power consumption the server would spend to transmit files to other clients. In this paper, we newly propose an extended power consumption-based (EPCB) algorithm by improving the PCB algorithm by taking into consideration how much power a server consumes to transmit files to every requesting client. In the evaluation, we show the total power consumption of servers can be more reduced by the EPCB algorithm than the PCB and TRB algorithms.
Author Enokido, Tomoya
Aikebaier, Ailixier
Takizawa, Makoto
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Keywords An extended power consumption-based (EPCB) algorithm
Communication-based applications
Power consumption-based algorithm
Power consumption model
Transmission rate-based algorithm
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References Enokido T, Suzuki K, Aikebaier A, Takizawa M (2010c) Laxity based algorithm for reducing power consumption in distributed systems. In: Proceedings of the 4th international conference on complex, intelligent and software intensive systems (CISIS2010), pp 321–328
EnokidoTAikebaierATakizawaMA model for reducing power consumption in peer-to-peer systemsIEEE Syst J20104222122910.1109/JSYST.2010.2047296
Enokido T, Aikebaier A, Takizawa M (2010b) Power consumption-based server selection algorithms for communication-based systems. In: Proceedings of the 13th international conference on network-based information systems (NBiS2010) (2010, accepted)
Yang Y, Xiong N, Aikebaier A, Enokido T, Takizawa M (2009) Minimizing power consumption with performance efficiency constraint in web server clusters. In: Proceedings of the 12th international conference on network-based information systems (NBiS2009), pp 45–51
Enokido T, Suzuki K, Aikebaier A, Takizawa M (2009) Algorithms for reducing the total power consumption in data communication-based applications. In: Proceedings of 24th IEEE international conference on advanced information networking and applications (AINA-2010), pp 142–149
Aikebaier A, Enokido T, Takizawa M (2009) Energy-efficient computation models for distributed systems. In: Proceedings of the 12th international conference on network-based information systems (NBiS2009), pp 29–36
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SubjectTerms Algorithms
Artificial Intelligence
Bandwidths
Clients
Computational Intelligence
Electric power
Engineering
Information systems
Original Research
Power consumption
Robotics and Automation
Servers
User Interfaces and Human Computer Interaction
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