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Hybrid optical network architectures: Bringing packets and circuits together

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Abstract

In recent years hybrid optical network architectures, which employ two or more network technologies simultaneously, were proposed. They aim at improving the overall network design by combining the advantages of different technologies while avoiding their disadvantages. In order to structure this developing research field, we classify such hybrid architectures based on the degree of interaction and integration of the network technologies. Also, we discuss the three classes and their main representatives regarding key characteristics, performance benefits, and realization complexity. Finally, we highlight two hybrid architectures and show their key benefits compared to the respective non-hybrid architectures through a dimensioning case study
... 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]. ...
... Existing studies on hybrid switching in backbone networks divide the architecture into three categories based on the degree of integration between network technologies [11]. The first architecture is the client-server type, e.g., the IP-overwavelength division multiplexing (WDM) network, where the underlying service layer provides a virtual topology for the upper client layer. ...
... Equation (10) is based on the definition of packet loss probability in the RED queue [38]. Equation (11) is based on the definition of bandwidth utilization. Equation (12) defines the throughput of packet streams [8]. ...
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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 performance 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 circuit 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 fulfillment. 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.
... In recent years, the dynamic growth of fiber deployment has brought more transmission capacity in to hand, which is beyond the processing capacity of electronic switches [1]. As a result, fiber switching technologies [2], have been introduced to overcome the electronics processing and switching bottlenecks. ...
... Even though optics offers bulk capacity, the utilization is inefficient due to slow adaptation of wavelength switching for burst traffic. All-optical switching is believed to enhance the efficiency, but it is not practically deployed [1]. Hence, a new adaptive design approach, the hybrid optical architecture [1], was proposed: it combines the best features of both optical circuit and packet switching while diminishing their demerits to provide better performance and cost reduction [1]. ...
... All-optical switching is believed to enhance the efficiency, but it is not practically deployed [1]. Hence, a new adaptive design approach, the hybrid optical architecture [1], was proposed: it combines the best features of both optical circuit and packet switching while diminishing their demerits to provide better performance and cost reduction [1]. Integrated hybrid optical network (IHON) is one type of hybrid network which completely integrates both circuit and packet technologies, and uses the same wavelength to transmit both traffic. ...
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Today, deployment of optical fiber has offered large transmission capacity which cannot be efficiently utilized by the electronic switches. Rather, Integrated Hybrid Optical Network (IHON) is a promising approach which combines both packet and circuit switching techniques. As a result, it achieves efficient utilization of the bulk capacity and guarantees absolute Quality of Service (QoS) by optimizing the advantages of the two switching schemes while diminishing their disadvantages. Transpacket has developed a Fusion node implementing IHON principles in Ethernet for the data plane. Hence, this paper investigates and evaluates IHON network for 5G access networks. The simulated results and numerical analysis confirm that the Packet Delay Variation (PDV), Delay and Packet Loss Ratio (PLR) of Guaranteed Service Transport. (GST) traffic in IHON network met the requirements of 5G mobile fronthaul using CPRI. The number of nodes in the network limits the maximum separation distance between Base Band Unit. (BBU) and Remote Radio Head (RRH), link length; for increasing the number of nodes, the link length decreases. In addition to this, we verified how the leftover capacity of fusion node can be used to carry the low priority packets and how the GST traffic can have deterministic characteristics on a single wavelength by delaying it with Fixed Delay Line (FDL). For example, for L<sup>SM</sup><sub>1GE</sub>=0.3 the added Statistical Multiplexing (SM) traffic increases the 10GE wavelength utilization up to 89% without any losses and with SM PLR=1 E <sup>−03</sup> up to 92% utilization.
... With the case of data centers, the two basic premises for the application of traffic overflow are: equalizing loads [8,9] and energy consumption limitations [10,11]. In optical networks, the traffic overflow mechanism is one of the key mechanisms, considered as early as the dimensioning stage for these networks (e.g. in Optical Burst Switching Networks) [12,13]. Traffic overflow is also widely used in access networks, primarily in mobile wireless networks, [14]. ...
... The distribution (11) allows us to determine the blocking probability (12), and in consequence the average value of the intensity of traffic of class i that overflows from j-th PR: ...
... Another assumption is that the thresholds in PR are arranged in such a way [89] that the blocking phenomenon occurs exclusively in the oldest LA: T i,k < n ≤ V j . Then, (12) can be written as follows: ...
Article
This article presents a universal and versatile model of multiservice overflow systems based on Hayward's concept. The model can be used to analyze modern telecommunications and computer networks, mobile networks in particular. The advantage of the proposed approach lies in its ability to analyze overflow systems with elastic and adaptive traffic, systems with distributed resources and systems with non-full-availability in primary and secondary resources.
... M. Głąbowski is with Faculty of Electronics and Telecommunications, Poznan University of Technology, Poland (e-mail: mariusz.glabowski@put.poznan.pl). many applications, which among others include: optical networks (e.g. in Optical Burst Switching Networks) [13], [14], mobile networks 2G, 3G, 4G [15], [16], [17], [18], [19], [20], [1], [21], packet networks [22], [23], [24] as well as commutation fields [25], [26], [27]. In computer networks, this mechanism is used to improve the performance of cloud computing [28], file organization [29], load balancing [30], [31] and even to reduce energy consumption [32], [33]. ...
... Hybrid data center network (HDCN) offers a possible solution to the current state of high demand and rapid growth in network traffic, along with the exponential increase in power consumption and cost of DCNs by integrating multiple switching schemes to make use of their numerous advantages. A typical hybrid DCN constitutes a multiplicity of switching schemes such as the optical packet switching (OPS), optical burst switching (OBS), optical circuit switching (OCS) and electronic packet switching (EPS) [3], [4]. This integration of schemes or switching systems allows for a new and enabling technology capable of transforming current data center networks to an agile and flexible kind. ...
... Maximum E2E latency (L total ): L total = N × (D node + Delay_PDV node ) + D T × Link length (1) where, N = Number of nodes. D node = Latency in a single node, 1.2µsec (obtained from the simulation). ...
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Today, deployment of optical fiber has offered large transmission capacity which cannot be efficiently utilized by the electronic switches. Rather, Integrated Hybrid Optical Network (IHON) is a promising approach which combines both packet and circuit switching techniques. As a result, it achieves efficient utilization of the bulk capacity and guarantees absolute Quality of Service (QoS) by optimizing the advantages of the two switching schemes while diminishing their disadvantages. Transpacket has developed a Fusion node implementing IHON principles in Ethernet for the data plane. Hence, this paper investigates and evaluates IHON network for 5G access networks. The simulated results and numerical analysis confirm that the Packet Delay Variation (PDV), Delay and Packet Loss Ratio (PLR) of Guaranteed Service Transport. (GST) traffic in IHON network met the requirements of 5G mobile fronthaul using CPRI. The number of nodes in the network limits the maximum separation distance between Base Band Unit. (BBU) and Remote Radio Head (RRH), link length; for increasing the number of nodes, the link length decreases. In addition to this, we verified how the leftover capacity of fusion node can be used to carry the low priority packets and how the GST traffic can have deterministic characteristics on a single wavelength by delaying it with Fixed Delay Line (FDL). For example, for LSM 1GE=0.3 the added Statistical Multiplexing (SM) traffic increases the 10GE wavelength utilization up to 89% without any losses and with SM PLR=0.001 up to 92% utilization.
... using collaboration algorithms such as genetic algorithm [2]. In addition, it is hard to upgrade and repair because of the all-in-one BS architecture. ...
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p>Increasing mobile data traffic due to the rise of both smartphones and tablets has led to high-capacity demand of mobile data network. To meet the ever-growing capacity demand and reduce the cost of mobile network components, Cloud Radio Access Network (C-RAN) has emerged as a promising solution. In such network, the mobile operator’s Remote Radio Head (RRH) and Base Band Unit (BBU) are often separated and the connection between them has very tight timing and latency requirements imposed by Common Public Radio Interface (CPRI) and 3rd Generation Partnership Project (3GPP). This fronthaul connection is not yet provided by packet based network. To employ packet-based network for C-RAN fronthaul, the carried fronthaul traffic are needed to achieve the requirements of fronthaul streams. For this reason, the aim of this paper is focused on investigating and evaluating the feasibility of Ethernet networks for mobile fronthaul. The fronthaul requirements used to evaluate and investigate this network are maximum End to End (E2E) latency, Packet Loss Ratio (PLR) and Packet Delay Variation (PDV). The simulated results and numerical analysis confirm that the PDV and PLR of High Priority (HP) traffic in Ethernet network meet the requirements of mobile fronthaul using CPRI. However, the PDV of HP traffic meets the fronthaul network when the number of nodes in the Ethernet network is at most four. For Ethernet network, the number of nodes in the network limits the maximum separation distance between BBU and RRH (link length); for increasing the number of nodes, the link length decreases. Consequently, Radio over Ethernet (RoE) traffic should receive the priority and Quality of Service (QoS) HP can provide. On the other hand, Low Priority (LP) classes are not sensitive to QoS metrics and should be used for transporting time insensitive applications and services.</p
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