%0 Conference Proceedings
%T Balancing Global and Local Fairness Allocation Model in Heterogeneous Data Center
%+ Beihang University (BUAA)
%+ Space Star technology CO., Ltd
%A Zhou, Bingyu
%A Qin, Guangjun
%A Xiao, Limin
%A Huo, Zhisheng
%A Wei, Bing
%A Chang, Jiulong
%A Zhou, Nan
%A Ruan, Li
%A Wang, Haitao
%A Wei, Zipeng
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 14th IFIP International Conference on Network and Parallel Computing (NPC)
%C Hefei, China
%Y Xuanhua Shi
%Y Hong An
%Y Chao Wang
%Y Mahmut Kandemir
%Y Hai Jin
%I Springer International Publishing
%3 Network and Parallel Computing
%V LNCS-10578
%P 136-139
%8 2017-10-20
%D 2017
%R 10.1007/978-3-319-68210-5_15
%Z Computer Science [cs]Conference papers
%X Aiming at the problem that the bandwidth allocation method in heterogeneous data center can’t take into account the global and local fairness, we propose an allocation method called GLA that satisfies fair attributes and can improve the utilization of system resources by nearly 20% when the number of clients are more than six contrasting with the existing methods. The algorithm is also protable and scalable that can adapt to most of systems.
%G English
%Z TC 10
%Z WG 10.3
%2 https://inria.hal.science/hal-01705453/document
%2 https://inria.hal.science/hal-01705453/file/457609_1_En_15_Chapter.pdf
%L hal-01705453
%U https://inria.hal.science/hal-01705453
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC10
%~ IFIP-NPC
%~ IFIP-WG10-3
%~ IFIP-LNCS-10578