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Priority-Aware Service Orchestration Using Big Data Analytics for Dynamic Slicing in 5G Transport Networks
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
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2017 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2017.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-227881OAI: oai:DiVA.org:kth-227881DiVA, id: diva2:1205533
Conference
43rd European Conference and Exhibition on Optical Communication (ECOC), September 2017
Note

We demonstrate how to efficiently scale up/down resource slices allocated to tenants with different service priorities. Experimental results show that our proposed strategy—based on big data analytics—lowers service degradation by more than 51%, compared to priority unaware approaches.

QC 20180515

Available from: 2018-05-14 Created: 2018-05-14 Last updated: 2018-05-15Bibliographically approved

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File name FULLTEXT01.pdfFile size 251 kBChecksum SHA-512
93261cc4071b0c74fbd164f0173e0f88bbaec87d61b4bcf3a3900c706af24ed8de63a94ca313bcffffa3f3565d51c8786adfbf12082bba091fbdcf684c0a2d33
Type fulltextMimetype application/pdf

Authority records BETA

Raza, Muhammad RehanWosinska, LenaMonti, Paolo

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Optical Network Laboratory (ON Lab)Microelectronics and Information Technology, IMIT
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf