Power Consumption Evaluation of Distributed Computing Network Considering Traffic Locality

Yukio OGAWA; Go HASEGAWA; Masayuki MURATA

doi:10.1587/transcom.E95.B.2538

Power Consumption Evaluation of Distributed Computing Network Considering Traffic Locality

Yukio OGAWA, Go HASEGAWA, Masayuki MURATA

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When computing resources are consolidated in a few huge data centers, a massive amount of data is transferred to each data center over a wide area network (WAN). This results in increased power consumption in the WAN. A distributed computing network (DCN), such as a content delivery network, can reduce the traffic from/to the data center, thereby decreasing the power consumed in the WAN. In this paper, we focus on the energy-saving aspect of the DCN and evaluate its effectiveness, especially considering traffic locality, i.e., the amount of traffic related to the geographical vicinity. We first formulate the problem of optimizing the DCN power consumption and describe the DCN in detail. Then, numerical evaluations show that, when there is strong traffic locality and the router has ideal energy proportionality, the system's power consumption is reduced to about 50% of the power consumed in the case where a DCN is not used; moreover, this advantage becomes even larger (up to about 30%) when the data center is located farthest from the center of the network topology.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.8 pp.2538-2548

Publication Date: 2012/08/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.2538

Type of Manuscript: Special Section PAPER (Special Section on Networking Technologies for Cloud Services)

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Yukio OGAWA, Go HASEGAWA, Masayuki MURATA, "Power Consumption Evaluation of Distributed Computing Network Considering Traffic Locality" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 8, pp. 2538-2548, August 2012, doi: 10.1587/transcom.E95.B.2538.
Abstract: When computing resources are consolidated in a few huge data centers, a massive amount of data is transferred to each data center over a wide area network (WAN). This results in increased power consumption in the WAN. A distributed computing network (DCN), such as a content delivery network, can reduce the traffic from/to the data center, thereby decreasing the power consumed in the WAN. In this paper, we focus on the energy-saving aspect of the DCN and evaluate its effectiveness, especially considering traffic locality, i.e., the amount of traffic related to the geographical vicinity. We first formulate the problem of optimizing the DCN power consumption and describe the DCN in detail. Then, numerical evaluations show that, when there is strong traffic locality and the router has ideal energy proportionality, the system's power consumption is reduced to about 50% of the power consumed in the case where a DCN is not used; moreover, this advantage becomes even larger (up to about 30%) when the data center is located farthest from the center of the network topology.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.2538/_p

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@ARTICLE{e95-b_8_2538,
author={Yukio OGAWA, Go HASEGAWA, Masayuki MURATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Power Consumption Evaluation of Distributed Computing Network Considering Traffic Locality},
year={2012},
volume={E95-B},
number={8},
pages={2538-2548},
abstract={When computing resources are consolidated in a few huge data centers, a massive amount of data is transferred to each data center over a wide area network (WAN). This results in increased power consumption in the WAN. A distributed computing network (DCN), such as a content delivery network, can reduce the traffic from/to the data center, thereby decreasing the power consumed in the WAN. In this paper, we focus on the energy-saving aspect of the DCN and evaluate its effectiveness, especially considering traffic locality, i.e., the amount of traffic related to the geographical vicinity. We first formulate the problem of optimizing the DCN power consumption and describe the DCN in detail. Then, numerical evaluations show that, when there is strong traffic locality and the router has ideal energy proportionality, the system's power consumption is reduced to about 50% of the power consumed in the case where a DCN is not used; moreover, this advantage becomes even larger (up to about 30%) when the data center is located farthest from the center of the network topology.},
keywords={},
doi={10.1587/transcom.E95.B.2538},
ISSN={1745-1345},
month={August},}

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TY - JOUR
TI - Power Consumption Evaluation of Distributed Computing Network Considering Traffic Locality
T2 - IEICE TRANSACTIONS on Communications
SP - 2538
EP - 2548
AU - Yukio OGAWA
AU - Go HASEGAWA
AU - Masayuki MURATA
PY - 2012
DO - 10.1587/transcom.E95.B.2538
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2012
AB - When computing resources are consolidated in a few huge data centers, a massive amount of data is transferred to each data center over a wide area network (WAN). This results in increased power consumption in the WAN. A distributed computing network (DCN), such as a content delivery network, can reduce the traffic from/to the data center, thereby decreasing the power consumed in the WAN. In this paper, we focus on the energy-saving aspect of the DCN and evaluate its effectiveness, especially considering traffic locality, i.e., the amount of traffic related to the geographical vicinity. We first formulate the problem of optimizing the DCN power consumption and describe the DCN in detail. Then, numerical evaluations show that, when there is strong traffic locality and the router has ideal energy proportionality, the system's power consumption is reduced to about 50% of the power consumed in the case where a DCN is not used; moreover, this advantage becomes even larger (up to about 30%) when the data center is located farthest from the center of the network topology.
ER -