Micro-service Based Network Management for Distributed Applications

Martins, Rafael de Jesus; Hecht, Rodolfo B.; Machado, Ederson Ribas; Nobre, Jéferson Campos; Wickboldt, Juliano Araújo; Granville, Lisandro Zambenedetti

doi:10.1007/978-3-030-44041-1_80

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…Container is a form of virtualization that uses the host OS to create isolated groups of processes, also called virtualized process (COOK, 2017), and dependencies. A container is composed of one or a set of processes that are organized separately from the system (MARTINS et al, 2020). This separation (or isolation) is achieved at OS kernel level by namespace process grouping.…”

Section: Containersmentioning

confidence: 99%

“…In microservices provision context at wired networks, (MARTINS et al, 2020) proposed an easy-to-use container-based architecture that provides network management using Netflow traffic collection. Applying a model based on container virtualization, this paper shows that a network service, (a Web-based client-server service using HTTP protocol), can be deployed together with traffic collection lightweight containers.…”

Section: Sdr Virtualizationmentioning

confidence: 99%

“…In conclusion, after the statistical analysis of startup time test, it was verified that applying the architecture adds overhead time at startup of the solution. This overhead needs to be considered in light of architecture implementation, but, conversely, it must be noticed that the time for deployment is a one-time cost for the user, as discussed in (MARTINS et al, 2020).…”

Section: Figure 44 -Experimental Randomized Matrix and Order Tablementioning

confidence: 99%

“…C = 100, C = 200,..., C = 1000), and make at least 1000 measures for level, evaluating the mean and maximum, minimum values. The main metrical difference in this thesis, just as (MARTINS et al, 2020), concerns the number of clients, that increases from 0 to 250 (respecting the boundaries of Linux Apache server), in a step of 25 clients. For each step, N = 1000 measures were then performed, one measure for every second, and then the average of the N measures was computed.…”

Section: Resource Utilization Testmentioning

confidence: 99%

“…Despite the considerable momentum of SDR, integration to such complex and dynamic wired networks environments to provide services as an edge device, can result in a difficult task; because it requires developer knowledge of radio communication protocols and DSP to develop the data reception script, as well as base knowledge of SDS network technologies involved to integrate them (MARTINS et al, 2020). Furthermore, SDR integration architectures to real-time service provision, for the most part, still remains not virtualized and service-oriented, which do not explore all capabilities of SDR, such as the flexibility to provide a wider variety of services.…”

Section: Introductionmentioning

confidence: 99%

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A Container-based Architecture to Provide Services from SDR Devices

Machado,

Feldman,

Müller

2023

2023 IEEE 21st International Conference on Industrial Informatics (INDIN)

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Software Defined Radio is a programmable radio device that, when connected to a computer or as an embedded solution, can transmit and receive data information using radio waves. The programming features of the SDR and its RF bandwidth range extends the application possibility to several areas, including aviation, satellite, radar, and mobile communication. SDR has drawn great attention to network service provision. Acting as a multi-programmable air interface at the edge of wired network environments, SDR can receive, decode and forward radio information, which is used to generate the services. Examples of services including real-time flight tracker web pages, and sensor monitoring data charts. However, to provide network services, SDR must integrate into complex network environments where recent technologies, such as NFV, SDN, containerization and cloud computing, are applied. This thesis addresses the integration of SDRs with containerization. It proposes an easy-to-deploy container-based architecture to provide network services from SDR devices. Using different types of SDR devices (USRP, LimeSDR and RTL-SDR), GNURadio platform and Docker Container, two use cases of the proposed architecture are presented, demonstrating scenarios where ADS-B and LoRa communication are implemented in order to provide services to end-users. Evaluation of the proposed solution is performed comparing two models of service provision: with the proposed architecture (two levels of network isolation), and without the architecture. The overhead time added to launch the services, the time response and computational resource utilization are compared, showing that there is an overhead added by the architecture which impacts on the system performance. The overhead increases with the applied network isolation level. Conversely, the architecture converts the service functional components into modular components, its application can be extended to different RF projects and SDR types, and offers non-functional benefits such as, real-time capability, network isolation, fine setting of communication parameters, and a set of control and configuration features inherited from container virtualization platform.

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Section: Containersmentioning

confidence: 99%

Section: Sdr Virtualizationmentioning

confidence: 99%

Section: Figure 44 -Experimental Randomized Matrix and Order Tablementioning

confidence: 99%

Section: Resource Utilization Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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