Deadline-Aware Multicast Transfers in Software-Defined Optical Wide-Area Networks

The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which provide certain guarantees, most notably timely transfer completion. We present DaRTree which leverages emerging optical reconfiguration technologies, to jointly optimize t...

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Published inIEEE journal on selected areas in communications Vol. 38; no. 7; pp. 1584 - 1599
Main Authors Luo, Long, Foerster, Klaus-Tycho, Schmid, Stefan, Yu, Hongfang
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which provide certain guarantees, most notably timely transfer completion. We present DaRTree which leverages emerging optical reconfiguration technologies, to jointly optimize topology and multicast transfers in software-defined optical Wide-Area Networks (WANs), and thereby maximize throughput and acceptance ratio of transfer requests subject to transfer deadlines. DaRTree is based on a novel integer linear program relaxation and deterministic rounding scheme. To this end, DaRTree uses Steiner trees for forwarding and adaptive routing based on the current network load. DaRTree provides transfer completion guarantees without the need for rescheduling or preemption. Our evaluations show that DaRTree increases the network throughput and the number of accepted requests by up to <inline-formula> <tex-math notation="LaTeX">1.7\times </tex-math></inline-formula>, especially for larger WANs. Moreover, DaRTree even outperforms state-of-the-art solutions when the traffic demands are only unicast transfers or when the WAN topology cannot be reconfigured. While DaRTree determines the rate and route to serve a request at the time of (online) admission control, we show that the acceptance ratio and throughput can be improved by up to <inline-formula> <tex-math notation="LaTeX">1.3\times </tex-math></inline-formula> even further when DaRTree updates the rate and route of admitted transfers also at runtime.
AbstractList The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which provide certain guarantees, most notably timely transfer completion. We present DaRTree which leverages emerging optical reconfiguration technologies, to jointly optimize topology and multicast transfers in software-defined optical Wide-Area Networks (WANs), and thereby maximize throughput and acceptance ratio of transfer requests subject to transfer deadlines. DaRTree is based on a novel integer linear program relaxation and deterministic rounding scheme. To this end, DaRTree uses Steiner trees for forwarding and adaptive routing based on the current network load. DaRTree provides transfer completion guarantees without the need for rescheduling or preemption. Our evaluations show that DaRTree increases the network throughput and the number of accepted requests by up to <inline-formula> <tex-math notation="LaTeX">1.7\times </tex-math></inline-formula>, especially for larger WANs. Moreover, DaRTree even outperforms state-of-the-art solutions when the traffic demands are only unicast transfers or when the WAN topology cannot be reconfigured. While DaRTree determines the rate and route to serve a request at the time of (online) admission control, we show that the acceptance ratio and throughput can be improved by up to <inline-formula> <tex-math notation="LaTeX">1.3\times </tex-math></inline-formula> even further when DaRTree updates the rate and route of admitted transfers also at runtime.
The increasing amount of data replication across datacenters introduces a need for efficient bulk data transfer protocols which provide certain guarantees, most notably timely transfer completion. We present DaRTree which leverages emerging optical reconfiguration technologies, to jointly optimize topology and multicast transfers in software-defined optical Wide-Area Networks (WANs), and thereby maximize throughput and acceptance ratio of transfer requests subject to transfer deadlines. DaRTree is based on a novel integer linear program relaxation and deterministic rounding scheme. To this end, DaRTree uses Steiner trees for forwarding and adaptive routing based on the current network load. DaRTree provides transfer completion guarantees without the need for rescheduling or preemption. Our evaluations show that DaRTree increases the network throughput and the number of accepted requests by up to [Formula Omitted], especially for larger WANs. Moreover, DaRTree even outperforms state-of-the-art solutions when the traffic demands are only unicast transfers or when the WAN topology cannot be reconfigured. While DaRTree determines the rate and route to serve a request at the time of (online) admission control, we show that the acceptance ratio and throughput can be improved by up to [Formula Omitted] even further when DaRTree updates the rate and route of admitted transfers also at runtime.
Author Foerster, Klaus-Tycho
Schmid, Stefan
Yu, Hongfang
Luo, Long
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SubjectTerms Admission control
Data centers
Data replication
Data transfer
Data transfer (computers)
deadline
Multicast transfers
Multicasting
Network topologies
Network topology
Optical communication
Optical fiber networks
Protocol (computers)
reconfigurable networks
Reconfiguration
Rescheduling
Rounding
Software
Software-defined networking
Throughput
Topology
Topology optimization
Trees (mathematics)
Unicast
Wide area networks
Title Deadline-Aware Multicast Transfers in Software-Defined Optical Wide-Area Networks
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