A strategy for improving NetClust server placement for multicloud environments

Autor:	Yuting Zhao, Changlai Du, Lifang Xu, Yuan Xiaoqun, Qing Fang, Jinhong Liu
Rok vydání:	2018
Předmět:	General Computer Science Computer science Distributed computing Node (networking) Resource allocation Server placement resource allocation cloud-based service platform Electrical and Electronic Engineering Cluster analysis Time complexity Selection (genetic algorithm) Hierarchical clustering
Zdroj:	Volume: 26, Issue: 1 115-124 Turkish Journal of Electrical Engineering and Computer Science
ISSN:	1300-0632 1303-6203
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a57f244abe5e36eebcb80d00c4b3a9f6 https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35799/400942 Zobrazit plný text záznamu