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dc.contributor.authorLin, Ying-Daren_US
dc.contributor.authorWang, Chih-Chiangen_US
dc.contributor.authorHuang, Chien-Yingen_US
dc.contributor.authorLai, Yuan-Chengen_US
dc.date.accessioned2019-04-02T06:00:32Z-
dc.date.available2019-04-02T06:00:32Z-
dc.date.issued2018-09-01en_US
dc.identifier.issn0890-8044en_US
dc.identifier.urihttp://dx.doi.org/10.1109/MNET.2017.1700037en_US
dc.identifier.urihttp://hdl.handle.net/11536/148258-
dc.description.abstractNetwork Function Virtualization (NFV) allows datacenters to consolidate network appliance functions onto commodity servers and devices. Currently telecommunication carriers are re-architecting their central offices as NFV datacenters that, along with SDN, help network service providers to speed deployment and reduce cost. However, it is still unclear how a carrier network shall organize its NFV datacenter resources into a coherent service architecture to support global network functional demands. This work proposes a hierarchical NFV/SDN-integrated architecture in which datacenters are organized into a multi-tree overlay network to collaboratively process user traffic flows. The proposed architecture steers traffic to a nearby datacenter to optimize user-perceived service response time. Our experimental results reveal that the 3-tier architecture is favored over others as it strikes a good balance between centralized processing and edge computing, and the resource allocation should be decided based on traffic's source-destination attributes. Our results indicate that when most traffic flows within the same edge datacenter, the strategy whereby resources are concentrated at the carrier's bottom-tier datacenters is preferred, but when most traffic flows across a carrier network or across different carrier networks, a uniform distribution over the datacenters or over the tiers, respectively, stands out from others.en_US
dc.language.isoen_USen_US
dc.titleHierarchical CORD for NFV Datacenters: Resource Allocation with Cost-Latency Tradeoffen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/MNET.2017.1700037en_US
dc.identifier.journalIEEE NETWORKen_US
dc.citation.volume32en_US
dc.citation.spage124en_US
dc.citation.epage130en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000446529900019en_US
dc.citation.woscount0en_US
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