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Abstract—In this paper, we’ve proposed BlueArch, a testbed for 5G research and experimentations. It is a customized setup, that comprises of several opensource components. It provides a platform to create and customize virtual network infrastructures and benchmarks prototypes. BlueArch provides high flexibility in terms of customization, configurat...
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... and XEN server or Virtual box as opensource alternatives. The client OS runs the GNS3 UI, a type 2 hypervisor and XEN center. GNS3 UI is the graphical user interface of the GNS3 software. This provides a platform to draw and design a network, accessing individual device with CLI though terminal or GUI using VNC is also possible from GNS3 UI. Fig. 2 shows the GNS3 layout of a sample network topology. GNS3 also allows emulated devices to access external network using NAT or Bridged connection. For large scale simulation, GNS3 offers a separate compute platform, typically virtualized, called GNS3 VM. While simulating a network GNS3 UI offload the devices to GNS3 VM via either QEMU ...
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Citations
... Consequently, a dedicated channel grants a higher priority to broadband service compared to the best-effort service. [68]. BlueArch platform ( Figure 22) includes a customized structure of some open-source tools. ...
... (i) The first category comprises those testbeds that partially achieve some of the primary or secondary attributes of the design criteria for network slicing testbeds. In this regard, the testbeds in [38,40,45,46,50,55,56,58,[60][61][62][68][69][70][71] present network slicing in a particular network domain, and they do not realize a complete E2E network slicing. Reference [56] applies network slicing within multiple-VIMs (DCs); however, this implementation is limited to one network domain, and it does not present E2E network slicing, which crosses all network domains (RAN, TN, and CN). ...
... BlueArch testbed architecture[68]. ...
Developing specialized cloud-based and open-source testbeds is a practical approach to investigate network slicing functionalities in the fifth-generation (5G) mobile networks. This paper provides a comprehensive review of most of the existing cost-efficient and small-scale testbeds that partially or fully deploy network slicing. First, we present relevant software packages for the three main functional blocks of the ETSI NFV MANO framework and for emulating the access and core network domains. Second, we define primary and secondary design criteria for deploying network slicing testbeds. These design criteria are later used for comparison between the testbeds. Third, we present the state-of-the-art testbeds, including their design objectives, key technologies, network slicing deployment, and experiments. Next, we evaluate the testbeds according to the defined design criteria and present an in-depth summary table. This assessment concludes with the superiority of some of them over the rest and the most dominant software packages satisfying the ETSI NFV MANO framework. Finally, challenges, potential solutions, and future works of network slicing testbeds are discussed.
... Figure 21: Architecture of the ONAP testbed integrated with slice management [67]. [68]. BlueArch platform ( Figure 22) includes a customized structure of some open-source tools. ...
... (i) The first category comprises those testbeds that partially achieve some of the primary or secondary attributes of the design criteria for network slicing testbeds. In this regard, the testbeds in [38], [40], [45], [46], [50], [55], [56], [58], [60]- [62], [68]- [71] present network slicing in a particular network domain, and they do not realize a complete E2E network slicing. Reference [56] applies network slicing within multiple-VIMs (DCs); however, this implementation is limited to one network domain, and it does not present E2E network slicing, which crosses all network domains (RAN, TN, and CN). ...
... BlueArch testbed architecture[68]. ...
Developing specialized cloud-based and open-source testbeds is a practical approach to investigate network slicing functionalities in the fifth-generation (5G) mobile networks. This paper provides a comprehensive review of most of the existing cost-efficient and small-scale testbeds that partially or fully deploy network slicing. First, we present relevant software packages for the three main functional blocks of the ETSI NFV MANO framework and for emulating the access and core network domains. Second, we define primary and secondary design criteria for deploying network slicing testbeds. These design criteria are later used for comparison between the testbeds. Third, we present the state-of-the-art testbeds, including their design objectives, key technologies, network slicing deployment, and experiments. Next, we evaluate the testbeds according to the defined design criteria and present an in-depth summary table. This assessment concludes with the superiority of some of them over the rest and the most dominant software packages satisfying the ETSI NFV MANO framework. Finally, challenges, potential solutions, and future works of network slicing testbeds are discussed.
With the development of telecommunication technologies and the proliferation of network applications in the past decades, the traditional cloud network architecture becomes unable to accommodate such demands due to the heavy burden on the backhaul links and long latency. Therefore, edge computing, which brings network functions close to end-users by providing caching, computing and communication resources at network edges, turns into a promising paradigm. Benefit from its nature, edge computing enables emerging scenarios and use cases like Augmented Reality (AR) and Internet of Things (IowT). However, it also creates complexities to efficiently orchestrate heterogeneous services and manage distributed resources in the edge network. In this survey, we make a comprehensive review of the research efforts on service orchestration and resource management for edge computing. We first give an overview of edge computing, including architectures, advantages, enabling technologies and standardization. Next, a comprehensive survey of state-of-the-art techniques in the management and orchestration of edge computing is presented. Subsequently, the state-of-the-art research on the infrastructure of edge computing is discussed in various aspects. Finally, open research challenges and future directions are presented as well.
