TY - GEN
T1 - Optimization on ports activation towards energy efficient data center networks
AU - Chkirbene, Zina
AU - Hamila, Ridha
AU - Foufou, Sebti
AU - Kiranyaz, Serkan
AU - Gabbouj, Moncef
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - Nowadays, Internet of thing including network support (i.e. checking social media, sending emails, video conferencing) requires smart and efficient data centers to support these services. Hence, data centers become more important and must be able to respond to ever changing service requirements and application demands. However, data centers are classified as one of the largest consumers of energy in the world. Existing topologies such as ScalNet improves the data center scalability while leading to enormous amounts of energy consumption. In this paper, we present a new energy efficient algorithm for ScalNet called Green ScalNet. The proposed topology strikes a compromise between maximizing the energy saving and minimizing the average path length. By taking into consideration the importance of the transmitted data and the critical parameters for the receiver (e.g. time, energy), the proposed topology dynamically controls the number of active communication links by turning off and on ports in the network (switches ports and nodes ports). Both theoretical analysis and simulation experiments are conducted to evaluate its overall performance in terms of average path length and energy consumption.
AB - Nowadays, Internet of thing including network support (i.e. checking social media, sending emails, video conferencing) requires smart and efficient data centers to support these services. Hence, data centers become more important and must be able to respond to ever changing service requirements and application demands. However, data centers are classified as one of the largest consumers of energy in the world. Existing topologies such as ScalNet improves the data center scalability while leading to enormous amounts of energy consumption. In this paper, we present a new energy efficient algorithm for ScalNet called Green ScalNet. The proposed topology strikes a compromise between maximizing the energy saving and minimizing the average path length. By taking into consideration the importance of the transmitted data and the critical parameters for the receiver (e.g. time, energy), the proposed topology dynamically controls the number of active communication links by turning off and on ports in the network (switches ports and nodes ports). Both theoretical analysis and simulation experiments are conducted to evaluate its overall performance in terms of average path length and energy consumption.
KW - Average path length
KW - Data center network
KW - Energy consumption
KW - Internet of thing
KW - Network architecture
UR - http://www.scopus.com/inward/record.url?scp=85056810418&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056810418&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02849-7_14
DO - 10.1007/978-3-030-02849-7_14
M3 - Conference contribution
AN - SCOPUS:85056810418
SN - 9783030028480
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 155
EP - 166
BT - Ubiquitous Networking - 4th International Symposium, UNet 2018, Revised Selected Papers
A2 - Pollin, Sofie
A2 - Alouini, Mohamed-Slim
A2 - Sabir, Essaid
A2 - Boudriga, Noureddine
A2 - Rekhis, Slim
PB - Springer Verlag
T2 - 4th International Symposium on Ubiquitous Networking, UNet 2018
Y2 - 2 May 2018 through 5 May 2018
ER -