A strategy for improving NetClust server placement for multicloud environments

Authors

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

DOI

10.3906/elk-1704-206

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

First Page

115

Last Page

124

Recommended Citation

ZHAO, YUTING; LIU, JINHONG; FANG, QING; XU, LIFANG; DU, CHANGLAI; and XIAOQUN, YUAN (2018) "A strategy for improving NetClust server placement for multicloud environments," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 26: No. 1, Article 11. https://doi.org/10.3906/elk-1704-206
Available at: https://journals.tubitak.gov.tr/elektrik/vol26/iss1/11