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1

Datsika, Eftychia, Angelos Antonopoulos, Nizar Zorba, and Christos Verikoukis. "Software Defined Network Service Chaining for OTT Service Providers in 5G Networks." Software Defined Network Service Chaining for OTT Service Providers in 5G Networks 55, no. 11 (2017): 124–31. https://doi.org/10.1109/MCOM.2017.1700108.

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The fifth generation wireless networks are expected to offer high capacity and accommodate numerous over-the-top applications, relying on users' Internet connectivity, thus involving different stakeholders, that is, network service providers and over-the-top service providers. For the efficient management of over-the-top application flows, the implementation of service functions and their interconnection in service chains, namely network service chaining, should consider the over-the-top service providers' performance goals and user management strategies. However, in current wireless n
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Vineetha, B., and M. Sumana. "Software Defined Networks—A Network Programme and Its Dynamic Services." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 3927–33. http://dx.doi.org/10.1166/jctn.2020.8990.

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As network component is increasing, the managing and controlling systems from a central based control system becomes very complex. The technology used to resolve this is called Software Defined Networks (SDN) which helps to manage and control the system through programs. SDN stands as a developing technique that divides single network as data and control plane. The benefit of SDN are provides more performance, managing the packet flow through diverse dealer’s organization components. The complexities continued to raise when implementing network services both from technical and organizational v
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Huang, Huawei, Song Guo, Jinsong Wu, and Jie Li. "Service Chaining for Hybrid Network Function." IEEE Transactions on Cloud Computing 7, no. 4 (2019): 1082–94. http://dx.doi.org/10.1109/tcc.2017.2721401.

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Zhang, Nan, Heikki Hämmäinen, and Hannu Flinck. "Cost efficiency of SDN-enabled service function chaining." info 18, no. 5 (2016): 45–55. http://dx.doi.org/10.1108/info-03-2016-0011.

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Purpose This paper models the cost efficiency of service function chaining (SFC) in software-defined LTE networks and compares it with traditional LTE networks. Design/methodology/approach Both the capital expenditure (CAPEX) and operational expenditure (OPEX) of the SFC are quantified using an average Finnish mobile network in 2015 as a reference. The modeling inputs are gathered through semi-structured interviews with Finnish mobile network operators (MNO) and network infrastructure vendors operating in the Finnish market. Findings The modeling shows that software-defined networking (SDN) ca
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Sahhaf, Sahel, Wouter Tavernier, Matthias Rost, et al. "Network service chaining with optimized network function embedding supporting service decompositions." Computer Networks 93 (December 2015): 492–505. http://dx.doi.org/10.1016/j.comnet.2015.09.035.

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Xia, Ming, Meral Shirazipour, Ying Zhang, Howard Green, and Attila Takacs. "Optical service chaining for network function virtualization." IEEE Communications Magazine 53, no. 4 (2015): 152–58. http://dx.doi.org/10.1109/mcom.2015.7081089.

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Datsika, Eftychia, Angelos Antonopoulos, Nizar Zorba, and Christos Verikoukis. "Software Defined Network Service Chaining for OTT Service Providers in 5G Networks." IEEE Communications Magazine 55, no. 11 (2017): 124–31. http://dx.doi.org/10.1109/mcom.2017.1700108.

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R.Sudhakar, V.Ramkumar, S.Santhosh, J.Suganth, and D.Thirunavukkarasu. "ONE PASS PACKET STEERING IN SOFTWARE DEFINED DATA CENTERS." international journal of engineering technology and management sciences 7, no. 2 (2023): 494–501. http://dx.doi.org/10.46647/ijetms.2023.v07i02.057.

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Issue of service function chaining in a network is the focus of this paper. Currently, middle box placement in a network and packet steering through middle boxes are the two main problems associated with chaining services in a network—also known as service function chaining. We propose a One Pass Packet Steering (OPPS) method for use in multi-subscriber environments with the goal of reducing the total amount of time it takes for Users and Services to connect. We show a proof of idea execution utilizing imitations performed with Mininet. According to our findings, the end-to-end delay of subscr
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Paolucci, Francesco. "Network Service Chaining Using Segment Routing in Multi-Layer Networks." Journal of Optical Communications and Networking 10, no. 6 (2018): 582. http://dx.doi.org/10.1364/jocn.10.000582.

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Quinn, Paul, and Jim Guichard. "Service Function Chaining: Creating a Service Plane via Network Service Headers." Computer 47, no. 11 (2014): 38–44. http://dx.doi.org/10.1109/mc.2014.328.

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Mebarkia, Khalil, and Zoltán Zsóka. "QoS Impacts of Slice Traffic Limitation." Infocommunications journal 13, no. 3 (2021): 24–32. http://dx.doi.org/10.36244/icj.2021.3.3.

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Slicing is an essential building block of 5G networks and beyond. Different slices mean sets of traffic demands with different requirements, which need to be served over separated or shared network resources. Various service chaining methods applied to support slicing lead to different network load patterns, impacting the QoS experienced by the traffic. In this paper, we analyze QoS properties applying a theoretical model. We also suggest appropriate parameter setting policies in slice-aware service function chaining (SFC) algorithms to increase QoS. We evaluate several metrics in different an
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Fei, Xincai, Fangming Liu, Hai Jin, and Bo Li. "FlexNFV: Flexible Network Service Chaining with Dynamic Scaling." IEEE Network 34, no. 4 (2020): 203–9. http://dx.doi.org/10.1109/mnet.001.1900483.

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Purohit, Prathamesh, Ruturaj Kadikar, M. Susila, and B. Amutha. "Study of optimization parameters for service chaining in cloud environment." International Journal of Engineering & Technology 7, no. 2.4 (2018): 190. http://dx.doi.org/10.14419/ijet.v7i2.4.13037.

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and it is growing towards integration of 5G technology in near future. Therefore, to improve the quality of experience for viewing the content over the internet requires dynamic allocation and adaptation of network resources in an optimized manner. Traditional IP networks are vertically integrated hence flexibility in network resources management is very less. Software-defined networking (SDN) as an emerging technology, which comes with the promise of the solution to dynamically govern various network resources by breaking this chain or hierarchy of vertical integration. Network function virtu
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Fulvio, Valenza, Sisto Riccardo, and Spinoso Serena. "Formally specifying and checking policies and anomalies in service function chaining." Journal of Network and Computer Applications Volume 146 (November 15, 2019): 1–14. https://doi.org/10.1016/j.jnca.2019.102419.

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One of the proposed management strategies for SDN networks is to specify traffic forwarding through policies, where each policy rule identifies a traffic flow and its traversed service chains. While network operators need to check network configurations as soon as possible, the SDN verification literature focuses on checking policy correctness during or after their deployment. This paper, instead, proposes early verification of forwarding policies before their deployment, by looking for the presence of anomalies that can potentially lead to erroneous and unexpected network behaviour. The propo
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Ozaki, Shintaro, Takehiro Sato, and Eiji Oki. "Multi-source multicast service chaining model guaranteeing reliability of network services." Computer Networks 241 (March 2024): 110204. http://dx.doi.org/10.1016/j.comnet.2024.110204.

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Lin, Po-Ching, Ying-Dar Lin, Cheng-Ying Wu, Yuan-Cheng Lai, and Yi-Chih Kao. "Balanced Service Chaining in Software-Defined Networks with Network Function Virtualization." Computer 49, no. 11 (2016): 68–76. http://dx.doi.org/10.1109/mc.2016.349.

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Gupta, Abhishek, M. Farhan Habib, Uttam Mandal, Pulak Chowdhury, Massimo Tornatore, and Biswanath Mukherjee. "On service-chaining strategies using Virtual Network Functions in operator networks." Computer Networks 133 (March 2018): 1–16. http://dx.doi.org/10.1016/j.comnet.2018.01.028.

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18

Qi Xu, Deyun Gao, Huachun Zhou, Bohao Feng, and Taixin Li. "OpenNSP: Open Network Service Provision for Mobile Networks." Research Briefs on Information and Communication Technology Evolution 3 (May 15, 2017): 42–52. http://dx.doi.org/10.56801/rebicte.v3i.43.

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In recent years, many innovative techniques are emerged for satisfying various user requirements,such as Software Definition Network (SDN) and Network Function Virtualization (NFV). However,the current solutions for network service provision still lack enough flexibility and openness thatresult in high expenditures and complexity. Thus, we propose an Open Network Service Provision(OpenNSP) solution in this paper, aiming to address the multi-domain problems of service functionchain outsourcing for mobile networks. Particularly, OpenNSP is based on IETF hierarchical servicefunction chaining (hSF
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Tam, Prohim, Seungwoo Kang, Seyha Ros, Inseok Song, and Seokhoon Kim. "Large-Scale Service Function Chaining Management and Orchestration in Smart City." Electronics 12, no. 19 (2023): 4018. http://dx.doi.org/10.3390/electronics12194018.

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In the core networking of smart cities, mobile network operators need solutions to reflect service function chaining (SFC) orchestration policies while ensuring efficient resource utilization and preserving quality of service (QoS) in large-scale networking congestion states. To offer this solution, we observe the standardized QoS class identifiers of smart city scenarios. Then, we reflect the service criticalities via cloning virtual network function (VNF) with reserved resources for ensuring effective scheduling of request queue management. We employ graph neural networks (GNN) with a messag
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Adoga, Haruna Umar, and Dimitrios P. Pezaros. "Network Function Virtualization and Service Function Chaining Frameworks: A Comprehensive Review of Requirements, Objectives, Implementations, and Open Research Challenges." Future Internet 14, no. 2 (2022): 59. http://dx.doi.org/10.3390/fi14020059.

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Network slicing has become a fundamental property for next-generation networks, especially because an inherent part of 5G standardisation is the ability for service providers to migrate some or all of their network services to a virtual network infrastructure, thereby reducing both capital and operational costs. With network function virtualisation (NFV), network functions (NFs) such as firewalls, traffic load balancers, content filters, and intrusion detection systems (IDS) are either instantiated on virtual machines (VMs) or lightweight containers, often chained together to create a service
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Kakalou, Ioanna, Kostas E. Psannis, Piotr Krawiec, and Radu Badea. "Cognitive Radio Network and Network Service Chaining toward 5G: Challenges and Requirements." IEEE Communications Magazine 55, no. 11 (2017): 145–51. http://dx.doi.org/10.1109/mcom.2017.1700086.

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22

Li, Guanwen, Huachun Zhou, Bohao Feng, et al. "Fuzzy Theory Based Security Service Chaining for Sustainable Mobile-Edge Computing." Mobile Information Systems 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8098394.

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Mobile-Edge Computing (MEC) is a novel and sustainable network architecture that enables energy conservation with cloud computing and network services offloading at the edge of mobile cellular networks. However, how to efficiently manage various real-time changing security functions is an essential issue which hinders the future MEC development. To address this problem, we propose a fuzzy security service chaining approach for MEC. In particular, a new architecture is designed to decouple the required security functions with the physical resources. Based on this, we present a security proxy to
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Tam, Prohim, Sa Math, and Seokhoon Kim. "Priority-Aware Resource Management for Adaptive Service Function Chaining in Real-Time Intelligent IoT Services." Electronics 11, no. 19 (2022): 2976. http://dx.doi.org/10.3390/electronics11192976.

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The growth of the Internet of Things (IoT) in various mission-critical applications generates service heterogeneity with different priority labels. A set of virtual network function (VNF) orders represents service function chaining (SFC) for a particular service to robustly execute in a network function virtualization (NFV)-enabled environment. In IoT networks, the configuration of adaptive SFC has emerged to ensure optimality and elasticity of resource expenditure. In this paper, priority-aware resource management for adaptive SFC is provided by modeling the configuration of real-time IoT ser
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Jo, In-Cheol, and Gu-In Kwon. "A Study of Service Function Chaining in Network Function Virtualization." International Journal of Software Engineering and Its Applications 10, no. 7 (2016): 93–100. http://dx.doi.org/10.14257/ijseia.2016.10.7.09.

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MIRJALILY, Ghasem, and Zhiquan LUO. "Optimal Network Function Virtualization and Service Function Chaining: A Survey." Chinese Journal of Electronics 27, no. 4 (2018): 704–17. http://dx.doi.org/10.1049/cje.2018.05.008.

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Thai, Minh-Tuan, Ying-Dar Lin, and Yuan-Cheng Lai. "Joint server and network optimization toward load-balanced service chaining." International Journal of Communication Systems 31, no. 10 (2018): e3556. http://dx.doi.org/10.1002/dac.3556.

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27

Ben Hamed, Asma, Aris Leivadeas, Matthias Falkner, and Nikolai Pitaev. "VNF Chaining Performance Characterization under Multi-Feature and Oversubscription Using SR-IOV." Informatics 7, no. 3 (2020): 33. http://dx.doi.org/10.3390/informatics7030033.

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Network Function Virtualization (NFV) has revolutionized the way network services are offered, leading Enterprise and Service Providers to increasingly adapt their portfolio of network products in order to reap the benefits of flexible network service deployment and cost reduction promises. With this method, network services are offered in the form of software images instead of dedicated hardware. However, NFV presents several challenges, including standard networking challenges (e.g., security, resilience, and availability), management and orchestration challenges, resource allocation challen
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Xiang, Zuo, Patrick Seeling, and Frank H. P. Fitzek. "You Only Look Once, But Compute Twice: Service Function Chaining for Low-Latency Object Detection in Softwarized Networks." Applied Sciences 11, no. 5 (2021): 2177. http://dx.doi.org/10.3390/app11052177.

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With increasing numbers of computer vision and object detection application scenarios, those requiring ultra-low service latency times have become increasingly prominent; e.g., those for autonomous and connected vehicles or smart city applications. The incorporation of machine learning through the applications of trained models in these scenarios can pose a computational challenge. The softwarization of networks provides opportunities to incorporate computing into the network, increasing flexibility by distributing workloads through offloading from client and edge nodes over in-network nodes t
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Duytam Ly, Le, Mahsa Sadeghi Ghahroudi, and Victor Ponce. "A Systematic Literature Review of Reliable Provisioning for Virtual Network Function Chaining." Applied Sciences 13, no. 9 (2023): 5504. http://dx.doi.org/10.3390/app13095504.

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The abstraction of the network node functions using virtualization methods introduced an innovative architecture called Network Function Virtualization (NFV). In NFV, every virtualization software hosts a network service recognized as a Virtual Network Function (VNF). In general, the network provider creates a Service Function Chain (SFC) for every sequence of multiple requested VNFs by the customers. Although NFV allows for a more flexible and economical approach, it is more prone to error and failure. Therefore, providing reliable provisioning for VNF chaining is one of the key issues in NFV
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Erbati, Mohammad Mohammadi, Mohammad Mahdi Tajiki, and Gregor Schiele. "Service Function Chaining to Support Ultra-Low Latency Communication in NFV." Electronics 12, no. 18 (2023): 3843. http://dx.doi.org/10.3390/electronics12183843.

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Network function virtualization (NFV) has the potential to fundamentally transform conventional network architecture through the decoupling of software from dedicated hardware. The convergence of virtualization and cloud computing technologies has revolutionized the networking landscape, offering a wide range of advantages, including improved flexibility, manageability, and scalability. The importance of network capability in enabling ultra-low latency applications has been greatly amplified in the current era due to the increased demand for emerging services such as autonomous driving, teleop
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Paganelli, Federica, Paola Cappanera, and Giovanni Cuffaro. "Tenant-defined service function chaining in a multi-site network slice." Future Generation Computer Systems 121 (August 2021): 1–18. http://dx.doi.org/10.1016/j.future.2021.03.002.

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Chen, Xiaojing, Wei Ni, Tianyi Chen, et al. "Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining." IEEE Transactions on Mobile Computing 18, no. 12 (2019): 2899–912. http://dx.doi.org/10.1109/tmc.2018.2885301.

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33

Sun, Jian, Guanhua Huang, Arun Kumar Sangaiah, Guangyang Zhu, and Xiaojiang Du. "Towards Supporting Security and Privacy for Social IoT Applications: A Network Virtualization Perspective." Security and Communication Networks 2019 (March 14, 2019): 1–15. http://dx.doi.org/10.1155/2019/4074272.

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Network function virtualization (NFV) is a new way to provide services to users in a network. Different from dedicated hardware that realizes the network functions for an IoT application, the network function of an NFV network is executed on general servers, and in order to achieve complete network functions, service function chaining (SFC) chains virtual network functions to work together to support an IoT application. In this paper, we focus on a main challenge in this domain, i.e., resource efficient provisioning for social IoT application oriented SFC requests. We propose an online SFC dep
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Wu, Yutong, and Jinhe Zhou. "Dynamic Service Function Chaining Orchestration in a Multi-Domain: A Heuristic Approach Based on SRv6." Sensors 21, no. 19 (2021): 6563. http://dx.doi.org/10.3390/s21196563.

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With the emergence of virtualization technology, Network Function Virtualization (NFV) and Software Defined Networking (SDN) make the network function abstract from the hardware and allow it to be run on virtual machines. These technologies can help to provide more efficient services to users by Service Function Chaining (SFC). The sequence of multiple VNFs required by network operators to perform traffic steering is called SFC. Mapping and deploying SFC on the physical network can enable users to obtain customized services in time. At present, a key problem in deploying SFC is how to reduce n
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Khosravian, Pouya, Sima Emadi, Ghasem Mirjalily, and Behzad Zamani. "QoS-aware service composition based on context-free grammar and skyline in service function chaining using genetic algorithm." PeerJ Computer Science 7 (July 26, 2021): e603. http://dx.doi.org/10.7717/peerj-cs.603.

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Service function chaining (SFC) is a mechanism that allows service providers to combine various service functions and exploit the available virtual infrastructure. The best selection of virtual services in the network is essential for meeting user requirements and constraints. This paper proposes a novel approach to generate the optimal composition of the service functions. To this end, a genetic algorithm based on context-free grammar (CFG) that adheres to the Internet Engineering Task Force (IETF) standard and Skyline was developed to use in SFC. The IETF uses cases of the data center, secur
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Cho, Yunyoung, Seokwon Jang, Jaewook Lee, and Sangheon Pack. "Deep Spatiotemporal Correlation Network Model for Load Prediction in Service Function Chaining." IEEE Networking Letters 3, no. 3 (2021): 152–55. http://dx.doi.org/10.1109/lnet.2021.3091205.

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Shameli-Sendi, Alireza, Yosr Jarraya, Makan Pourzandi, and Mohamed Cheriet. "Efficient Provisioning of Security Service Function Chaining Using Network Security Defense Patterns." IEEE Transactions on Services Computing 12, no. 4 (2019): 534–49. http://dx.doi.org/10.1109/tsc.2016.2616867.

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Bhamare, Deval, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta, and H. Anthony Chan. "Optimal virtual network function placement in multi-cloud service function chaining architecture." Computer Communications 102 (April 2017): 1–16. http://dx.doi.org/10.1016/j.comcom.2017.02.011.

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39

Zhang, Zhiping, and Changda Wang. "Service Function Chain Migration: A Survey." Computers 14, no. 6 (2025): 203. https://doi.org/10.3390/computers14060203.

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As a core technology emerging from the convergence of Network Function Virtualization (NFV) and Software-Defined Networking (SDN), Service Function Chaining (SFC) enables the dynamic orchestration of Virtual Network Functions (VNFs) to support diverse service requirements. However, in dynamic network environments, SFC faces significant challenges, such as resource fluctuations, user mobility, and fault recovery. To ensure service continuity and optimize resource utilization, an efficient migration mechanism is essential. This paper presents a comprehensive review of SFC migration research, ana
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Raza, Syed M., Haekwon Jeong, Moonseong Kim, and Hyunseung Choo. "HP-SFC: Hybrid Protection Mechanism Using Source Routing for Service Function Chaining." Applied Sciences 11, no. 11 (2021): 5245. http://dx.doi.org/10.3390/app11115245.

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Service Function Chaining (SFC) is an emerging paradigm aiming to provide flexible service deployment, lifecycle management, and scaling in a micro-service architecture. SFC is defined as a logically connected list of ordered Service Functions (SFs) that require high availability to maintain user experience. The SFC protection mechanism is one way to ensure high availability, and it is achieved by proactively deploying backup SFs and installing backup paths in the network. Recent studies focused on ensuring the availability of backup SFs, but overlooked SFC unavailability due to network failur
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Behrooz, Farkiani, Bakhsh Bahador, A. Mirhassan S., Wauter Tim, Volckaer Bruno, and De Turck Filip. "Prioritized Deployment of Dynamic Service Function Chains." Transactions on Networking 29, no. 3 (2021): 979–93. https://doi.org/10.5281/zenodo.6120040.

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Service Function Chaining and Network Function Virtualization are enabling technologies that provide dynamic network services with diverse QoS requirements. Regarding the limited infrastructure resources, service providers need to prioritize service requests and even reject some of low-priority requests to satisfy the requirements of high-priority services. In this paper, we study the problem of deployment and reconfiguration of a set of chains with different priorities with the objective of maximizing the service provider's profit; wherein, we also consider management concerns including t
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Mihaeljans, Martins, and Andris Skrastins. "Evaluation of reactive service function path discovery in symmetrical environment." Telfor Journal 14, no. 1 (2022): 2–7. http://dx.doi.org/10.5937/telfor2201002m.

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In this paper we continue our study of path discovery process for Service Function Chaining (SFC) in Software Defined Network (SDN). By default, service function (SF) paths are established proactively - before data transmission takes place. We have argued that this constraint can be eliminated with the use of our proposed Reactive SF path discovery approach. Such SFs as network address translation (NAT) or stateful firewall (FW) are SF path's symmetry dependent requiring a visit of both ingress and egress flows. Thus, we evaluated SF path discovery processes in Mininet emulation network. Outco
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Zou, Deqing, Zirong Huang, Bin Yuan, Haoyu Chen, and Hai Jin. "Solving Anomalies in NFV-SDN Based Service Function Chaining Composition for IoT Network." IEEE Access 6 (2018): 62286–95. http://dx.doi.org/10.1109/access.2018.2876314.

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Wang, Luhan, Zhaoming Lu, Xiangming Wen, Raymond Knopp, and Rohit Gupta. "Joint Optimization of Service Function Chaining and Resource Allocation in Network Function Virtualization." IEEE Access 4 (2016): 8084–94. http://dx.doi.org/10.1109/access.2016.2629278.

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Kiji, Narumi, Takehiro Sato, Ryoichi Shinkuma, and Eiji Oki. "Virtual network function placement and routing for multicast service chaining using merged paths." Optical Switching and Networking 36 (February 2020): 100554. http://dx.doi.org/10.1016/j.osn.2020.100554.

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46

Fountoulakis, Emmanouil, Qi Liao, and Nikolaos Pappas. "An End-to-End Performance Analysis for Service Chaining in a Virtualized Network." IEEE Open Journal of the Communications Society 1 (2020): 148–63. http://dx.doi.org/10.1109/ojcoms.2020.2966689.

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47

Sun, Gang, Zhu Xu, Hongfang Yu, Xi Chen, Victor Chang, and Athanasios V. Vasilakos. "Low-Latency and Resource-Efficient Service Function Chaining Orchestration in Network Function Virtualization." IEEE Internet of Things Journal 7, no. 7 (2020): 5760–72. http://dx.doi.org/10.1109/jiot.2019.2937110.

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48

Hawilo, Hassan, Manar Jammal, and Abdallah Shami. "Network Function Virtualization-Aware Orchestrator for Service Function Chaining Placement in the Cloud." IEEE Journal on Selected Areas in Communications 37, no. 3 (2019): 643–55. http://dx.doi.org/10.1109/jsac.2019.2895226.

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Seol, Youhwan, Jaehong Ahn, Sehyun Park, et al. "DDNB—Doubly Decentralized Network Blockchain Architecture for Application Services." Applied Sciences 10, no. 15 (2020): 5212. http://dx.doi.org/10.3390/app10155212.

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Decentralization and immutability characteristics of blockchain technology has attracted numerous blockchain-based systems and applications to be proposed. However, technical shortcomings such as low transaction speed, complexity, scalability, and vulnerability to certain attacks have been identified, making it challenging to use the technology on general consumer applications and services. To address the problem, we propose a new application service platform architecture called DDNB (Doubly Decentralized Network Blockchain). DDNB divides the system into multiple layers in order to take advant
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Wang, Xi, Shuo Shi, and Chenyu Wu. "Research on Service Function Chain Embedding and Migration Algorithm for UAV IoT." Drones 8, no. 4 (2024): 117. http://dx.doi.org/10.3390/drones8040117.

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This paper addresses the challenge of managing service function chaining (SFC) in an unmanned aerial vehicle (UAV) IoT, a dynamic network that integrates UAVs and IoT devices for various scenarios. To enhance the service quality and user experience of the UAV IoT, network functions must be flexibly configured and adjusted based on varying service demands and network situations. This paper presents a model for calculating benefits and an agile algorithm for embedding and migrating SFC based on particle swarm optimization (PSO). The model takes into account multiple factors such as SFC quality,
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