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dc.contributor.authorAlGhadhban, Amer M.
dc.contributor.authorCelik, Abdulkadir
dc.contributor.authorShihada, Basem
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2019-12-12T05:50:19Z
dc.date.available2019-12-12T05:50:19Z
dc.date.issued2019-12-13
dc.identifier.citationArray
dc.identifier.doi10.1109/TNSM.2019.2959740
dc.identifier.urihttp://hdl.handle.net/10754/660536
dc.description.abstractLightFDG is an integrated approach to flow detection (FD) and flow grooming (FG) in optical wireless data center networks (DCNs), which is interconnected via wavelength division multiplexing (WDM) based free-space optical (FSO) links. Since forwarding bandwidth-hungry elephant flows (EFs) and delay-sensitive mice flows (MFs) on the same path can cause severe performance degradation, the LightFDG optically grooms flows of each class into rack-to-rack (R2R) flows. Then, R2R-MF and R2R-EF flows are separately forwarded over lightpaths of separate MF and EF virtual topologies, respectively. Lightpaths are provisioned by jointly determining the capacity and route based on flows' arrival rate, size, and completion time request. To prevent EFs from congesting the MF lightpaths, high speed and accurate flow-detection mechanisms are also necessary for classifying EFs as soon as possible. Therefore, a fast-lightweight-and-accurate flow detection framework is developed by leveraging the transmission control protocol (TCP) behaviors. The proposed FD scheme has the flexibility of being implemented as in-network or centralized to classify flows of modifiable and unmodifiable hosts, respectively. Since the centralized scheme incurs considerable overhead, the processing and communication overhead is also mitigated by proposed techniques. Numerical results show that LightFDG outperforms traditional load balancers by about 3x for EFs and 10x for MFs. Along with the developed overhead mitigation methods, the centralized scheme is shown to provide up to 62x lower overhead with 100% accuracy and with about 224x higher detection speeds than the existing centralized solutions.
dc.language.isoen
dc.publisherarXiv
dc.relation.urlhttps://arxiv.org/pdf/1912.05481
dc.rightsArchived with thanks to arXiv
dc.subjectFlow classification
dc.subjectFSO
dc.subjectwavelength division multiplexing
dc.subjectlightpath provisioning
dc.subjectflow grooming.
dc.titleLightFDG: An Integrated Approach to Flow Detection and Grooming in Optical Wireless DCNs
dc.typePreprint
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.identifier.journalIEEE Transactions on Network and Service Management
dc.eprint.versionPre-print
dc.contributor.institutionElectrical Engineering Department at University of Hail, Hail, 55474, KSA
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
pubs.publication-statusAccepted
dc.identifier.arxividarXiv:1912.05481
kaust.personAlghadhban, Amer Mohammad JarAlla
kaust.personCelik, Abdulkadir
kaust.personShihada, Basem
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2019-12-12T05:50:19Z
dc.date.published-online2019-12-13
dc.date.published-print2019
dc.date.posted2019-12-11


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