TY - GEN
T1 - Optimal and Cost Efficient Algorithm for Virtual CDN Orchestration
AU - Khedher, Hatem
AU - Abd-Elrahman, Emad
AU - Afifi, Hossam
AU - Marot, Michel
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/14
Y1 - 2017/11/14
N2 - Virtual Content Delivery Network (vCDN) orchestration is necessary to optimize the use of resources and improve the performance of the overall SDN/NFV-based CDN function in terms of network operator cost reduction and high streaming quality. It requires intelligent and enticed joint SDN/NFV orchestration algorithm due to the evident huge amount of traffic to be delivered to end customers of the network. In this paper, a global vCDN architecture and an exact approach for finding the optimal path orchestration(s) and vCDN component instantiation(s) (OCPA) are proposed. Moreover, several scenarios are considered to quantify the OCPA behavior and to compare its efficiency in terms of caching and streaming cost, orchestration time, vCDN replication number, and other cost factors. Then, it is implemented and evaluated under different deployment flavors. Several scenarios are considered to study the algorithm's behavior and to quantify the impact of both network and system parameters.
AB - Virtual Content Delivery Network (vCDN) orchestration is necessary to optimize the use of resources and improve the performance of the overall SDN/NFV-based CDN function in terms of network operator cost reduction and high streaming quality. It requires intelligent and enticed joint SDN/NFV orchestration algorithm due to the evident huge amount of traffic to be delivered to end customers of the network. In this paper, a global vCDN architecture and an exact approach for finding the optimal path orchestration(s) and vCDN component instantiation(s) (OCPA) are proposed. Moreover, several scenarios are considered to quantify the OCPA behavior and to compare its efficiency in terms of caching and streaming cost, orchestration time, vCDN replication number, and other cost factors. Then, it is implemented and evaluated under different deployment flavors. Several scenarios are considered to study the algorithm's behavior and to quantify the impact of both network and system parameters.
KW - optimization
KW - vCDN
U2 - 10.1109/LCN.2017.115
DO - 10.1109/LCN.2017.115
M3 - Conference contribution
AN - SCOPUS:85040598956
T3 - Proceedings - Conference on Local Computer Networks, LCN
SP - 61
EP - 69
BT - Proceedings - 2017 IEEE 42nd Conference on Local Computer Networks, LCN 2017
PB - IEEE Computer Society
T2 - 42nd IEEE Conference on Local Computer Networks, LCN 2017
Y2 - 9 October 2017 through 12 October 2017
ER -