DocumentCode
3600027
Title
SSNF: Shared Datacenter Mechanism for Inter-datacenter Bulk Transfer
Author
Yang Yu ; Wang Rong ; Wang Zhijun
Author_Institution
China Unicom Res. Inst., Beijing, China
fYear
2014
Firstpage
184
Lastpage
189
Abstract
Cloud service providers (CSP) usually deploy geographically distributed data centers to improve QoS for colocated customers. Inter-Data center traffic constitutes almost half of the data center´s export traffic and occupies significant part of the operational cost. Many store-and-forward mechanisms have been proposed to improve the efficiency of inter-data center transfer. However, existing store-and-forward solutions to the inter-datacenter traffic problem need sufficient and suitable intermediate nodes for transferring data, which is much more difficult for both the small and the big CSPs. In this paper, we present a shared datacenter scheduling mechanism called SSNF, which focus on providing more idle intermediates to increase the transmission success ratio for the inter-datacenter traffic. In SSNF, CSPs share datacenters which have idle storage resource and provide these idle datacenters as intermediate nodes for other CSP´s data transmission. We compared our scheme with existing bulk data transfer mechanism under several different simulation settings. The results demonstrate our solution has a better transmission success ratio and achieves high efficiency for inter-datacenter traffic.
Keywords
cloud computing; computer centres; CSP; QoS; SSNF mechanism; cloud service providers; geographically distributed data centers; inter-data center bulk transfer; inter-data center traffic; quality of service; shared data center mechanism; store-and-forward mechanism; Aerospace electronics; Algorithm design and analysis; Bandwidth; Data transfer; Peer-to-peer computing; Systems architecture; bulk transfers; inter-datacenter traffic; shared datacenter;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Cloud and Big Data (CBD), 2014 Second International Conference on
Print_ISBN
978-1-4799-8086-4
Type
conf
DOI
10.1109/CBD.2014.31
Filename
7176091
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