TY - GEN
T1 - Resource placement in content delivery networks using hybrid genetic algorithm
AU - Yin, J. J.
AU - Tang, Wallace K. S.
PY - 2005
Y1 - 2005
N2 - In this paper, different existing optimization algorithms for resource placement in Content Delivery Network (CDN) are studied. It is confirmed that the best sub-optimal solution can be obtained by Greedy Algorithm, as compared with Tabu search and direct-coded Genetic Algorithm. To further improve the design of CDN, a hybrid approach combining an order-based genetic algorithm and a greedy algorithm is proposed. From the simulations, it is demonstrated that the new approach performs the best in different networks as compared with Greedy Algorithm, Tabu search and direct-coded Genetic Algorithm. © 2005 IEEE.
AB - In this paper, different existing optimization algorithms for resource placement in Content Delivery Network (CDN) are studied. It is confirmed that the best sub-optimal solution can be obtained by Greedy Algorithm, as compared with Tabu search and direct-coded Genetic Algorithm. To further improve the design of CDN, a hybrid approach combining an order-based genetic algorithm and a greedy algorithm is proposed. From the simulations, it is demonstrated that the new approach performs the best in different networks as compared with Greedy Algorithm, Tabu search and direct-coded Genetic Algorithm. © 2005 IEEE.
KW - Content delivery networks
KW - Genetic algorithm
KW - Greedy algorithm
KW - Resource placement
UR - https://www.scopus.com/pages/publications/33845339586
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33845339586&origin=recordpage
U2 - 10.1109/INDIN.2005.1560390
DO - 10.1109/INDIN.2005.1560390
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780390946
SN - 9780780390942
VL - 2005
SP - 281
EP - 285
BT - 2005 3rd IEEE International Conference on Industrial Informatics, INDIN
T2 - 2005 3rd IEEE International Conference on Industrial Informatics, INDIN
Y2 - 10 August 2005 through 12 August 2005
ER -