A strategy for improving NetClust server placement for multicloud environments

Authors: YUTING ZHAO, JINHONG LIU, QING FANG, LIFANG XU, CHANGLAI DU, YUAN XIAOQUN

Abstract: In this paper, we propose a fast server placement algorithm to improve the NetClust framework and make it more efficient and exible. To this end, we introduce hierarchical clustering technologies to the NetClust framework and propose a exible server placement algorithm, which integrates the agglomerative and divisive clustering technologies to reduce the time complexity and avoid the performance uctuation affected by the initial node selection. The experiment results show that our server placement algorithm may reduce the time complexity of server selection of NetClust significantly and improve the exibility and applicability of the NetClust.

Keywords: Server placement, resource allocation, cloud-based service platform

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