DaRTree deadline-aware multicast transfers in reconfigurable wide-area networks

The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which meet QoS guarantees, notably timely completion. We present DaRTree which leverages emerging optical reconfiguration technologies, to jointly optimize topology and multicast...

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Published inProceedings of the International Symposium on Quality of Service pp. 1 - 10
Main Authors Luo, Long, Foerster, Klaus-Tycho, Schmid, Stefan, Yu, Hongfang
Format Conference Proceeding
LanguageEnglish
Published New York, NY, USA ACM 24.06.2019
SeriesACM Other Conferences
Subjects
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ISBN9781450367783
145036778X
DOI10.1145/3326285.3329063

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Abstract The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which meet QoS guarantees, notably timely completion. We present DaRTree which leverages emerging optical reconfiguration technologies, to jointly optimize topology and multicast transfers, and thereby maximize throughput and acceptance ratio of transfer requests subject to deadlines. DaRTree is based on a novel integer linear program relaxation and deterministic rounding scheme. To this end, DaRTree uses multicast Steiner trees and adaptive routing based on the current network load. DaRTree provides its guarantees without need for rescheduling or preemption. Our evaluations show that DaRTree increases the network throughput and the number of accepted requests by up to 70%, especially for larger Wide-Area Networks (WANs). In fact, we also find that DaRTree even outperforms state-of-the-art solutions when the network scheduler is only capable of routing unicast transfers or when the WAN topology is bound to be non-reconfigurable.
AbstractList The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which meet QoS guarantees, notably timely completion. We present DaRTree which leverages emerging optical reconfiguration technologies, to jointly optimize topology and multicast transfers, and thereby maximize throughput and acceptance ratio of transfer requests subject to deadlines. DaRTree is based on a novel integer linear program relaxation and deterministic rounding scheme. To this end, DaRTree uses multicast Steiner trees and adaptive routing based on the current network load. DaRTree provides its guarantees without need for rescheduling or preemption. Our evaluations show that DaRTree increases the network throughput and the number of accepted requests by up to 70%, especially for larger Wide-Area Networks (WANs). In fact, we also find that DaRTree even outperforms state-of-the-art solutions when the network scheduler is only capable of routing unicast transfers or when the WAN topology is bound to be non-reconfigurable.
Author Foerster, Klaus-Tycho
Schmid, Stefan
Yu, Hongfang
Luo, Long
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Keywords reconfigurable networks
deadline
multicast transfers
Language English
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Snippet The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which meet QoS guarantees, notably...
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SubjectTerms Data transfer
deadline
multicast transfers
Network topology
Networks -- Network algorithms
Networks -- Network performance evaluation
Optical fiber networks
reconfigurable networks
Steiner trees
Topology
Unicast
Wide area networks
Subtitle deadline-aware multicast transfers in reconfigurable wide-area networks
Title DaRTree
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