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AuthorSun, Gang
AuthorChen, Zhenrong
AuthorYu, Hongfang
AuthorDu, Xiaojiang
AuthorGuizani, Mohsen
Available date2022-11-10T09:47:20Z
Publication Date2019
Publication NameIEEE Access
ResourceScopus
Resource2-s2.0-85077950837
URIhttp://dx.doi.org/10.1109/ACCESS.2019.2930295
URIhttp://hdl.handle.net/10576/36113
AbstractIn recent years, much attention has been focused on deploying service function chains (SFCs), each of which is composed of a set of virtual network functions (VNFs) in a specified order. This is a promising approach for enabling cloud service providers to deploy user service requests more flexibly while saving costs. However, less effort has been directed toward meeting heterogeneous needs, such as high throughput or low latency of user service requests with heterogeneous bandwidth demands, especially in data center networks (DCNs). In this paper, we propose an efficient orchestration algorithm for online SFC requests. It first splits a large flow into a number of subflows and replicates the same number of sub-SFCs. Each subflow is redirected to one of these "parallelized" sub-SFCs, which is termed a sub-user request. Then, each sub-user request is deployed based on a worst-fit strategy, and VNFs in the same SFC are instantiated on the same server to the greatest possible extent. Our algorithm is expected to enable network load balancing, reducing the delay experienced by small flows while improving the acceptance ratio for user requests. Finally, the simulation results show that the proposed algorithm outperforms other comparable algorithms. 2019 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
SponsorThis work was supported in part by the National Natural Science Foundation of China under Grant 61571098, and in part by the 111 Project under Grant B14039.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectData center network
Load balancing
Orchestration
Service function chain
Splitting
TitleOnline parallelized service function chain orchestration in data center networks
TypeArticle
Pagination100147-100161
Volume Number7
dc.accessType Open Access


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