A comparative evaluation of the performance of popular SDN controllers

Mamushiane, Lusani; Lysko, Albert A.; Dlamini, Sabelo

doi:10.1109/wd.2018.8361694

Cited by 79 publications

(36 citation statements)

References 7 publications

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“…This can provide both network programmability with global visibility and controllability to easily manage a network. Indeed, operating as the brain of the network, the SDN controller(s) can maintain up-to-date the topology and traffic information of the network [133]. To deeply understand the concept of SDN, in the following, we describe the functioning of each of its components.…”

Section: B Software-defined Network (Sdn)mentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

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Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the ever-increasing mobile data demands of such mobile networks and provide ubiquitous connectivity to different kinds of wireless devices. However, the UAV assistance paradigm faces a set of crucial issues and challenges. For example, the network management of current UAV-assisted systems is time consuming, complicated, and carried out manually, thus causing a multitude of interoperability issues. To efficiently address all these issues, Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two promising technologies to efficiently manage and improve the UAV assistance for the next generation of mobile networks. In the literature, no clear guidelines are describing the different use cases of SDN and NFV in the context of UAV assistance to terrestrial networks, including mobile networks. Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies. Moreover, we provide a thorough analysis of the different classifications, use cases, and challenges related to UAV-assisted systems. We then discuss SDN/NFV-enabled UAV-assisted systems, along with several case studies and issues, such as the involvement of UAVs in cellular communications, monitoring, and routing, to name a few. We furthermore present a set of open research challenges, high-level insights, and future research directions related to UAV-assisted systems.

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Section: B Software-defined Network (Sdn)mentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

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“…For provisioning of network-related control and automation, a specific framework based on Software-Defined Networks is required. There are numerous SDN controllers with different capabilities and performances [21], which can be used in accordance to the need for achieving network slicing in 5G.…”

Section: B Core Networkingmentioning

confidence: 99%

Secure Healthcare: 5G-enabled Network Slicing for Elderly Care

Dzogovic

Thuan²,

Santos

et al. 2020

2020 5th International Conference on Computer and Communication Systems (ICCCS)

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While the research and advancements in 5G progresses, the focus of its application is shifting towards the industry and different verticals. The healthcare sector is also where 5G directs its promise to accomplish the requirements for smart hospitals, assisted living, elderly care etc. In sequence of fulfilling that capability, the healthcare needs to be provided a safe, secure, reliable and robust infrastructure for handling tasks. For that purpose, in this paper we provide an insight in the existing limitations in the healthcare sector for elderly care, presenting a fashionable solution that encompasses actual 5G network slicing techniques and innovations.

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“…Uji yang akan dilakukan adalah dengan menguji throughput dan latency dengan menggunakan tool uji cbench sesuai dengan rekomendasi yang diberikan oleh peneliti sebelumnya. Komparasi fitur antara floodlight dan ONOS yang diperoleh dari Mamushiane [9] dapat dilihat pada tabel I .…”

Section: Tujuan Khususunclassified

Floodlight vs Onos Dalam Unjuk Kerja

Kartadie

Panggayuh

2019

JIPI

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Kontroler yang secara langsung melakukan kontrol terhadap data path dari perangkat adalahÂ komponen utama dari Software-Defined Network (SDN). Kontroler bertanggung jawab untukÂ menentukan bagaimana menangani paket dan mengelola flow table (tabel flow) denganÂ menambahkan dan menghapus isi flow table melalui secure channel. Kontroler pada dasarnyaÂ memusatkan dan menjadi pusat kecerdasan jaringan, sedangkan jaringan mempertahankan dataÂ plane forwarding yang didistribusikan melalui Switch OpenFlow. Untuk alasan ini kontrolerÂ menyediakan antarmuka untuk mengelola, mengendalikan dan administrasi flow table SwitchÂ ini.Â PengujianÂ dilakukan untuk mengetahui tingkat throughput dan latency dari kontroler dan diujiÂ menggunakan cbance tool yang akan menguji pada protokol TCP dan UDP. PengujianÂ dilaksanakan dengan memaksa kontroler pada titik maksimal kemampuannyaÂ tanpa melakukan setingan tambahan (Setingan standar), sehinggaÂ diperoleh informasi yang tepat kemampuan dari kontroler yang akan digunakan. KarenaÂ kebutuhan ini, perlu di uji unjuk kerja dari kontroler yang digunakan. pada penelitian iniÂ pengujian dilakukan padaÂ kontroler floodlight dan ONOS.Â Dari hasil pengujian dapat dilihat bahwa kontroler floodlight lebih stabil dalam mengatasi beban switch dan host lebih baik dibandingkan dengan kontroler ONOS.

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A comparative evaluation of the performance of popular SDN controllers

Cited by 79 publications

References 7 publications

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Secure Healthcare: 5G-enabled Network Slicing for Elderly Care

Floodlight vs Onos Dalam Unjuk Kerja

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