On Energy Efficient Survivable Multipath Based Approaches in Space Division Multiplexing Elastic Optical Network: Crosstalk-Aware and Fragmentation-Aware

Paira, Smita; Halder, Joy; Chatterjee, Monish Ranjan; Bhattacharya, Uma

doi:10.1109/access.2020.2979487

Cited by 35 publications

(12 citation statements)

References 32 publications

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“…The algorithm also incorporated an inter-core crosstalk avoidance strategy and an ICXT-aware approach to mitigate crosstalk. Additionally, Paira et al [23] proposed the Crosstalk-aware Multipath Distance-adaptive EEbased Routing, Spectrum, and Core Assignment (CMDE-RSCA) scheme and the Fragmentationaware Multipath Distance-adaptive EE-based RSCA (FMDE-RSCA) scheme to reduce crosstalk evidence and minimize energy consumption. The FMDE-RSCA scheme also helped mitigate blocking probability (BP).…”

Section: Literature Related To Energy-efficient Optical Networkmentioning

confidence: 99%

Optimizing Network Performance and Power Consumption in Green Optical Networking: A Dual Algorithm Approach

Swamidoss,

Samiayya,

Gunasekar

2023

Preprint

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Nowadays, there is an increasing need for advanced technological solutions due to concerns about the energy crisis and environmental protection. In particular, there has been a growing focus on developing green Information and Communication Technologies (ICT) solutions, as the energy consumption of ICT devices has been rapidly increasing in recent decades. This paper introduces EPSO-based flow-aware routing mechanisms that aim to minimize Queueing Delay, Power Consumption (Energy Dissipation), and Load Deviation. Two flow-aware mechanisms, namely the Flow aware load adaptive scheme (FA-LAR) and the flow-aware distance adaptive scheme (FA-DAR), are utilized in this study. The goal is to avoid traffic congestion across the routes by selecting the most direct and efficient paths for the flows. These routed paths are optimized using the MEPSO-based FA-DAR routing algorithm, resulting in significant energy savings. Extensive numerical simulations are conducted to evaluate the proposed algorithms using metrics such as throughput, routing efficiency, queuing delay, load deviation, and energy efficiency. The simulation results demonstrate that the proposed method outperforms existing benchmark methods in all metrics. Furthermore, it ensures lower power consumption, queuing delay, and load deviation. The method exhibits a 30% improvement in throughput and a 24% improvement in energy efficiency compared to existing benchmark methods.

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Section: Literature Related To Energy-efficient Optical Networkmentioning

confidence: 99%

Optimizing Network Performance and Power Consumption in Green Optical Networking: A Dual Algorithm Approach

Swamidoss,

Samiayya,

Gunasekar

2023

Preprint

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“…The need to observe these two constraints might lead to a situation of misalignment between available spectral bands along the network links, which is known in the literature as spectral fragmentation (SF). SF has a deleterious effect on network performance [ 3 , 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Efficiency of Resilient Multipath-Routed Elastic Optical Networks: A Novel Approach for Coexisting Protected and Unprotected Services with Idle Slot Reuse

Cavalcanti,

Teixeira,

Dinarte

et al. 2024

Sensors

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In this paper, we investigate a scenario in which protected and unprotected services coexist in an elastic optical network under dynamic traffic. In the investigated scenario, unprotected services can reuse the reserved idle bandwidth to provide protection to the protected services. Under this scenario, we propose a new heuristic algorithm that enables such reuse as well as define and introduce a new assignment problem in elastic optical networks, named a Transmission Spectrum Assignment (T-SA) problem. In this paper, we consider a scenario in which services may be routed using the multipath routing approach. Additionally, protection using bandwidth squeezing is also considered. We assess our proposal through simulations on three different network topologies and compare our proposal against the classical protection approach, in which bandwidth reuse is not allowed. For the simulated range of network loads, the maximum (minimum) blocking probability reduction obtained by our proposal is approximately 48% (10%) in the European topology, 46% (7%) in the NSFNET topology, and 32% (6%) in the German topology.

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“…These constraints ensure that transmissions occur on a single core along the entire route and that the slots allocated for the request must be contiguous [Zhu et al 2021]. Analytic approaches to various problems pertaining to RCMLSA in SDM-EONs are well documented in the literature and the heuristics developed were shown to perform well [Beyragh et al 2019], [Paira et al 2020] and . However, some disadvantages of such approaches are the labor-intensive development, the lack of adaptability of the developed algorithms, as well as the waste of diagnostic, statistic and historical data continuously produced during the operation of such networks that goes unused.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Assisted Traffic-Aware Approach to Path Assignment in SDM-EONs

Oliveira¹,

Rosário²,

Cerqueira³

et al. 2022

Anais Do XL Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC 2022)

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The introduction of new technologies and applications connected to the Internet has demonstrated the inability of current optical networks to provide resources for next-generation Internet. Although the emergence of elastic optical networks with space-division multiplexing has shown to be a promising solution to deal with the capacity problem, some of the technical requirements for the implementation of these networks remain open challenges. In this sense, this paper proposes MISSION, a Machine Learning assisted, fragmentation, and crosstalk-aware model for path allocation in Space Division Multiplexing Elastic Optical Networks (SDM-EONs). The proposed approach is capable of ordering candidate paths for allocation based on metrics such as crosstalk, fragmentation, and the number of slots. Besides, MISSION shows competitive performance, by keeping a comparatively low blocking probability and fragmentation, even under heavy loads.

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On Energy Efficient Survivable Multipath Based Approaches in Space Division Multiplexing Elastic Optical Network: Crosstalk-Aware and Fragmentation-Aware

Cited by 35 publications

References 32 publications

Optimizing Network Performance and Power Consumption in Green Optical Networking: A Dual Algorithm Approach

Optimizing Network Performance and Power Consumption in Green Optical Networking: A Dual Algorithm Approach

Enhancing the Efficiency of Resilient Multipath-Routed Elastic Optical Networks: A Novel Approach for Coexisting Protected and Unprotected Services with Idle Slot Reuse

Machine Learning Assisted Traffic-Aware Approach to Path Assignment in SDM-EONs

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