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Towards low-latency service delivery in a continuum of virtual resources : state-of-the-art and research directions

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Abstract
The advent of softwarized networks has enabled the deployment of chains of virtual network and service components on computational resources from the cloud up to the edge, creating a continuum of virtual resources. The next generation of low latency applications (e.g., Virtual Reality (VR), autonomous cars) adds even more stringent requirements to the infrastructure, calling for considerable advancements towards cloud-native micro-service-based architectures. This article presents a comprehensive survey on ongoing research aiming to effectively support low latency services throughout their execution lifetime in next-generation networks. The current state-of-the-art is critically reviewed to identify the most promising trends that will strongly impact the full applicability and high performance of low latency services. This article proposes a taxonomy as well as specific evaluation criteria to classify research across different domains addressing low latency service delivery. Current architectural paradigms such as Multi-access Edge Computing (MEC) and Fog Computing (FC) alongside novel trends on communication networks are discussed. Among these, the integration of Machine Learning (ML) and Artificial intelligence (AI) is introduced as a key research field in current literature towards autonomous network management. A discussion on open challenges and future research directions on low-latency service delivery leads to the conclusion, offering lessons learned and prospects on emerging use cases such as Extended Reality (XR), in which novel trends will play a major role.
Keywords
CORE NETWORK, ENABLING TECHNOLOGIES, COMPREHENSIVE SURVEY, ENERGY, MANAGEMENT, INDUSTRIAL IOT, SMART CITIES, 5G, ARCHITECTURE, INTERNET, THINGS, Tutorials, Next generation networking, Taxonomy, Market research, 5G, mobile communication, Computer architecture, Cloud computing, Low, latency, next-generation networks, cloud-native, autonomous networks, orchestration, 5G, 6G

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Citation

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MLA
Pereira dos Santos, José Pedro, et al. “Towards Low-Latency Service Delivery in a Continuum of Virtual Resources : State-of-the-Art and Research Directions.” IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, vol. 23, no. 4, 2021, pp. 2557–89, doi:10.1109/COMST.2021.3095358.
APA
Pereira dos Santos, J. P., Wauters, T., Volckaert, B., & De Turck, F. (2021). Towards low-latency service delivery in a continuum of virtual resources : state-of-the-art and research directions. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 23(4), 2557–2589. https://doi.org/10.1109/COMST.2021.3095358
Chicago author-date
Pereira dos Santos, José Pedro, Tim Wauters, Bruno Volckaert, and Filip De Turck. 2021. “Towards Low-Latency Service Delivery in a Continuum of Virtual Resources : State-of-the-Art and Research Directions.” IEEE COMMUNICATIONS SURVEYS AND TUTORIALS 23 (4): 2557–89. https://doi.org/10.1109/COMST.2021.3095358.
Chicago author-date (all authors)
Pereira dos Santos, José Pedro, Tim Wauters, Bruno Volckaert, and Filip De Turck. 2021. “Towards Low-Latency Service Delivery in a Continuum of Virtual Resources : State-of-the-Art and Research Directions.” IEEE COMMUNICATIONS SURVEYS AND TUTORIALS 23 (4): 2557–2589. doi:10.1109/COMST.2021.3095358.
Vancouver
1.
Pereira dos Santos JP, Wauters T, Volckaert B, De Turck F. Towards low-latency service delivery in a continuum of virtual resources : state-of-the-art and research directions. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS. 2021;23(4):2557–89.
IEEE
[1]
J. P. Pereira dos Santos, T. Wauters, B. Volckaert, and F. De Turck, “Towards low-latency service delivery in a continuum of virtual resources : state-of-the-art and research directions,” IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, vol. 23, no. 4, pp. 2557–2589, 2021.
@article{8729523,
  abstract     = {{The advent of softwarized networks has enabled the deployment of chains of virtual network and service components on computational resources from the cloud up to the edge, creating a continuum of virtual resources. The next generation of low latency applications (e.g., Virtual Reality (VR), autonomous cars) adds even more stringent requirements to the infrastructure, calling for considerable advancements towards cloud-native micro-service-based architectures. This article presents a comprehensive survey on ongoing research aiming to effectively support low latency services throughout their execution lifetime in next-generation networks. The current state-of-the-art is critically reviewed to identify the most promising trends that will strongly impact the full applicability and high performance of low latency services. This article proposes a taxonomy as well as specific evaluation criteria to classify research across different domains addressing low latency service delivery. Current architectural paradigms such as Multi-access Edge Computing (MEC) and Fog Computing (FC) alongside novel trends on communication networks are discussed. Among these, the integration of Machine Learning (ML) and Artificial intelligence (AI) is introduced as a key research field in current literature towards autonomous network management. A discussion on open challenges and future research directions on low-latency service delivery leads to the conclusion, offering lessons learned and prospects on emerging use cases such as Extended Reality (XR), in which novel trends will play a major role.}},
  author       = {{Pereira dos Santos, José Pedro and Wauters, Tim and Volckaert, Bruno and De Turck, Filip}},
  issn         = {{1553-877X}},
  journal      = {{IEEE COMMUNICATIONS SURVEYS AND TUTORIALS}},
  keywords     = {{CORE NETWORK,ENABLING TECHNOLOGIES,COMPREHENSIVE SURVEY,ENERGY,MANAGEMENT,INDUSTRIAL IOT,SMART CITIES,5G,ARCHITECTURE,INTERNET,THINGS,Tutorials,Next generation networking,Taxonomy,Market research,5G,mobile communication,Computer architecture,Cloud computing,Low,latency,next-generation networks,cloud-native,autonomous networks,orchestration,5G,6G}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{2557--2589}},
  title        = {{Towards low-latency service delivery in a continuum of virtual resources : state-of-the-art and research directions}},
  url          = {{http://dx.doi.org/10.1109/COMST.2021.3095358}},
  volume       = {{23}},
  year         = {{2021}},
}

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