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304 Vol. 15, No. 6 / June 2023 / Journal of Optical Communications and Networking Research Article
Dynamic frequency slot allocation on IP-over-EON
access links with multiple-type and
time-varying traffic
Junyi Shao, Shuai Zhang, Weiqiang Sun,* AND Weisheng Hu
State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai, China
*sunwq@sjtu.edu.cn
Received 17 November 2022; revised 6 April 2023; accepted 15 April 2023; published 2 May 2023
Access links that connect client networks to public networks have to carry multiple-type and time-varying traffic.
Those hybrid traffic flows compete for limited bandwidth, yet at the same time have drastically different per-
formance requirements. As planning the link capacity for peak traffic demand is not economically viable, it is
important that bandwidth on the access links is shared between different traffic classes in a way that maximal
network utility can be achieved. In this paper, we study the frequency slot allocation problem on IP-over-elastic
optical network (EON) access links that carry three types of traffic, namely, packet streams, latency critical cir-
cuit connections (e.g., video conferencing), and delay tolerant circuit connections (e.g., bulk data transfers). We
define four network operation states; in each of which an access link serves traffic with different levels of fulfill-
ment. We then formulate the allocation problem into a weak-constrained optimization problem and propose a
genetic algorithm to solve it in real time. Numerical results show that the relative error of the genetic algorithm is
within 3% and the access link keeps maintaining the optimal achievable network operation state. We also show
that, by increasing the storage size, the access link can adapt to the increasing traffic load within a certain range
without upgrading the expensive access link bandwidth. Our study provides useful insights in managing and
operating IP-over-EON access links, and the concept of multiple network operation states can be generalized to
networks that serve more than one type of traffic. © 2023 Optica Publishing Group
https://doi.org/10.1364/JOCN.481355
1. INTRODUCTION
Access links that connect data centers (DCs) or large institu-
tions to backbone networks can be expensive and are often
the first bottleneck in the entire network. With more remote
access demands caused by working-from-home or learning-
from-home amid the ongoing COVID-19 crisis, efficient use
of access link bandwidth becomes even more important [1–3].
For instance, in an institution with a locally hosted private
cloud service, interactive applications can easily become con-
gested by large file transfers across the enterprise access link if
the link is not carefully managed.
The inter-DC traffic transmitting through access links is
time-varying and unevenly distributed in time, often exhibit-
ing tidal patterns [4,5]. At the same time, network traffic
is composed of different types of flows, each with its own
quality-of-service (QoS) requirements and unevenly dis-
tributed in terms of the number of flows and data volume
in bytes [6–8]. We can roughly divide the traffic into packet
streams and circuit connections. Packet streams such as web
browsing and message transmission are large in number and
require low delay performance, while circuit connections far
exceed packet streams in data volume and prefer low blocking
probability. Circuit connections can be further classified into
latency-critical (LC) flows and delay-tolerant (DT) flows,
depending on the type of traffic they carry [9,10]. LC flows
such as remote video conferences and telemedicine assistance
applications emphasize the timeliness of transmission. In con-
trast, DT flows, e.g., DC backups and large file transfers, have
no requirement on timeliness, and store-and-forward (SnF)
technology can be applied to smooth bandwidth usage during
busy and idle times.
The problem of carrying mixed traffic in backbone networks
that utilize hybrid switching has been widely investigated.
Three types of network architectures that can support hybrid
switching are discussed in [11]. In one of our previous works,
we proposed the BLOC framework for backbone networks to
characterize the dynamic resource allocation problem in hybrid
switching systems [6]. Abundant interest has been given to
the network wide routing, modulation format, and spectrum
assignment (RMSA) problem [12,13]. However, until now,
little attention has been given to the dynamic resource alloca-
tion problem on access links. There exist three challenges. First,
the system performance is essentially multi-dimensional and
involves several QoS requirements corresponding to different
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