TY - JOUR
T1 - Modeling Energy Saving Mechanism for Green Routers
AU - Liu, Gi Ren
AU - Lin, Phone
AU - Awad, Mohamad Khattar
N1 - Funding Information:
Manuscript received July 6, 2017; revised November 11, 2017 and December 21, 2017; accepted February 21, 2018. Date of publication February 28, 2018; date of current version August 16, 2018. The work of G.-R. Liu was supported by the Taiwan Ministry of Science and Technology under Grant MOST 106-2115-M-006-016-MY2. The work of P. Lin was supported in part by the Taiwan Ministry of Science and Technology under Grant MOST 106-2923-E-002-005-MY3, Grant MOST 104-2923-E-002-005-MY3, Grant MOST 103-2221-E-002-249-MY3, and Grant MOST 103-2221-E-002-152-MY3, in part by the Chunghwa Telecom, and in part by the ICL/ITRI Project in Taiwan. The work of M. K. Awad is supported by the Kuwait Foundation for the Advancement of Sciences under Project P314-35EO-01. The associate editor coordinating the review of this paper and approving it for publication was V. Prasad. (Corresponding author: Phone Lin.) G.-R. Liu is with the Department of Mathematics, National Cheng Kung University, Tainan 70101, Taiwan (e-mail: [email protected]).
Funding Information:
The work of G.-R. Liu was bsupported by the Taiwan Ministry of Science and Technology under Grant MOST 106-2115-M-006-016-MY2. The work of P. Lin was supported in part by the Taiwan Ministry of Science and Technology under Grant MOST 106-2923-E-002-005-MY3, Grant MOST 104-2923-E-002-005-MY3, Grant MOST 103-2221-E-002-249-MY3, and Grant MOST 103-2221-E-002-152- MY3, in part by the Chunghwa Telecom, and in part by the ICL/ITRI Project in Taiwan. The work of M. K. Awad is supported by the Kuwait Foundation for the Advancement of Sciences under Project P314-35EO-01
Publisher Copyright:
© 2017 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - The rapidly growing energy consumption of the Internet core network has been a growing concern. In this respect, we have proposed a distributed and load adaptive energy saving router (ESR) mechanism to manage the energy consumption of green routers in our previous work. In this paper, we propose an analytical model to investigate the performance of ESR. The proposed model captures the distribution of the packet service time, the buffer size, and the packet loss probability. Under the low (resp. high) traffic load situation, our numerical results show that the ESR has the ability to save more than 40% (resp. 9%) energy. In addition to evaluating the ESR performance in terms of the energy saving ratio, rerouting probability and average delay, the models provide manufactures and operators with guidelines for the deployment of green Internet.
AB - The rapidly growing energy consumption of the Internet core network has been a growing concern. In this respect, we have proposed a distributed and load adaptive energy saving router (ESR) mechanism to manage the energy consumption of green routers in our previous work. In this paper, we propose an analytical model to investigate the performance of ESR. The proposed model captures the distribution of the packet service time, the buffer size, and the packet loss probability. Under the low (resp. high) traffic load situation, our numerical results show that the ESR has the ability to save more than 40% (resp. 9%) energy. In addition to evaluating the ESR performance in terms of the energy saving ratio, rerouting probability and average delay, the models provide manufactures and operators with guidelines for the deployment of green Internet.
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U2 - 10.1109/TGCN.2018.2810445
DO - 10.1109/TGCN.2018.2810445
M3 - Article
AN - SCOPUS:85067526651
SN - 2473-2400
VL - 2
SP - 817
EP - 829
JO - IEEE Transactions on Green Communications and Networking
JF - IEEE Transactions on Green Communications and Networking
IS - 3
M1 - 8304600
ER -