On experimenting 5G: Testbed set-up for SDN orchestration across network cloud and IoT domains

Fichera, S.; Gharbaoui, M.; Castoldi, P.; Martini, B.; Manzalini, Antonio

doi:10.1109/netsoft.2017.8004245

Cited by 28 publications

(15 citation statements)

References 18 publications

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“…To satisfy the lack or unavailability of system reproduction capacity of CloudSim, NetworkCloudSim [62] is acquainted with re-enacting applications with organizing correspondence assignments. Extra system components are included NetworkCloudSim, including system switches and connections that get arrange occasions and ascertain evaluated organize transmission time.…”

Section: Simulation Platforms For Cloudmentioning

confidence: 99%

“…Extra system components are included NetworkCloudSim, including system switches and connections that get arrange occasions and ascertain evaluated organize transmission time. In spite of the fact that NetworkCloudSim [62] incorporates broad system usefulness to mimic server farm system and various applications for message transferring within a data centre, the use of SDN in the experiment execution of CloudSim is clearly not supported [62].…”

Section: Simulation Platforms For Cloudmentioning

confidence: 99%

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A Review on Software-Defined Networking Enabled Iot Cloud Computing

Badotra¹,

Panda²

2019

IIUMEJ

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Making use of Internet of Things (IoT) is becoming the necessity of today’s life. The data collected and stored through IoT devices comes from the cloud and therefore cloud computing is acting as a backbone for supporting IoT. But it is easy to forget that the cloud is not completely digital in some areas of the world and there is a need for a data centre where data storage can be achieved. Cloud data centres are facing many difficulties and issues because they are using traditional methods of networking. This is where Software Defined Networking (SDN) has come into view; where it has changed the way traditional networks are operated. For example, the separation of the intelligence of the network devices within the data path can be useful in making networks agile and manageable. This paper aims to provide problem areas in the networking used by the cloud data centres and the role of SDN to overcome these issues. Platforms for providing the experimental setup for collaboration between SDN and cloud will ultimately be beneficial in setting up the SDN- enabled IoT cloud, and this is also discussed with the open research problems. ABSTRAK: Penggunaan Internet Benda (IoT) menjadi keperluan kepada kehendak hari ini. Data yang dikumpul dan disimpan melalui peranti IoT berasal dari awan dan oleh itu pengkomputeran awan bertindak sebagai tulang belakang bagi menyokong IoT. Tetapi, satu perkara yang dilupakan adalah bahawa awan itu tidak sepenuhnya digital, di suatu tempat dalam dunia ini, terdapat keperluan pada pusat data di mana penyimpanan data boleh dicapai. Pusat data awan menghadapi banyak masalah dan isu kerana ianya menggunakan kaedah rangkaian tradisional. Di sinilah Perisian Definisi Perangkaian (SDN) dipandang; ia telah mengubah cara rangkaian tradisional dikendalikan. Sebagai contoh, pemisahan kecerdasan peranti rangkaian dengan laluan data berguna bagi membuat rangkaian pintar dan boleh diurus. Kajian ini bertujuan bagi menyediakan ruang masalah dalam rangkaian yang digunakan oleh pusat Data Awan dan peranan SDN dalam mengatasi masalah ini. Platform persediaan eksperimen bagi kerjasama SDN dan awan akhirnya bermanfaat dalam menubuhkan pengaktifan-SDN awan IOT, juga turut dibincangkan dalam kajian ini berkenaan masalah penyelidikan terbuka.

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Section: Simulation Platforms For Cloudmentioning

confidence: 99%

Section: Simulation Platforms For Cloudmentioning

confidence: 99%

A Review on Software-Defined Networking Enabled Iot Cloud Computing

Badotra¹,

Panda²

2019

IIUMEJ

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“…Furthermore, the authors in [7] present their NFVenabled testbed that introduces intelligence, self-organizing, and autonomic capacities to 5G networks, providing an open environment to foster innovation and decrease the capital expenditure (CAPEX) and operational expenditure (OPEX) of new applications. Moreover, the authors in [8] present their experimental setup of a convergent 5G service scenario involving a MEC node to show the reconfigurability of their network in real-time based on the load. Although all these works present significant results for the future 5G networks, they do not focus on the demanding industrial requirements.…”

Section: Introductionmentioning

confidence: 99%

NFV-Enabled Experimental Platform for 5G Tactile Internet Support in Industrial Environments

Mekikis

Ramantas

Antonopoulos

et al. 2020

IEEE Trans. Ind. Inf.

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As industries are under pressure for shorter business and product lifecycles, there is an extensive effort from the research community for novel and profitable automation processes. This effort has given rise to the 5G Tactile Internet, which is characterized by extremely low latency communication in combination with high availability, reliability and security. In this paper, we discuss the key technologies to support the Tactile Internet characteristics in industrial environments and, then, we showcase the implementation of a novel 5G NFV-enabled experimental platform. Given that ultra-reliable low-latency communications is crucial for the manufacturing process, we demonstrate that, in our setup, sub-millisecond end-to-end communication is attainable, proving the suitability of our platform for tactile Internet industrial applications.

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“…As will be further explored, we utilize the SDN control plane to compute a data-evacuation strategy and, accordingly, to enforce that strategy on the network elements. The SDN control plane also enables the orchestration of different network domains [8] , creating an arrangement of different networks (or domains) that allows for the maximization of the evacuated data, even when multiple network fragments are disconnected from the main network. In this last scenario, the control plane can use Traffic Engineering (TE) techniques to achieve fairness between different isolated com-ponents, avoiding unnecessary competition for potentially-scarce post-disaster satellite resources.…”

Section: Introductionmentioning

confidence: 99%

Data evacuation from data centers in disaster-affected regions through software-defined satellite networks

et al. 2019

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Large-scale disasters can severely disrupt Information Technology (IT) infrastructure, e.g., Data Centers. Earthquakes, hurricanes, tsunamis, and other natural catastrophes may lead to such a scenario. Manmade threats, e.g., a High-Altitude Electromagnetic Pulse (HEMP), can also provoke such an aftermath. In the HEMP case, however, the aftermath might include damage even to non-terrestrial IT infrastructure, such as satellites. After any disaster, it is important that critical data located in the affected region be evacuated to secure locations where it can be useful for emergency operations, mission-critical activities, rescue and relief efforts, and society and businesses in general. To minimize the time it takes to perform this evacuation, we must use all available resources as efficiently as possible. This includes using the remaining satellites to connect the affected regions of the network to the unaffected ones. Utilizing the Software-Defined Network (SDN) paradigm applied to satellite networks, we propose an algorithm that can be executed by the SDN controller. This algorithm generates an evacuation plan for data located in possibly-isolated terrestrial systems, such as Data Centers, through the satellite network, towards final destinations in the main network. The evacuation plan is a transmission schedule that maximizes the amount of evacuated data. Considering the current industrial interest in mega satellite constellations, we compare how two constellations of 66 and 720 satellites perform in terms of amount of data evacuated. Our results show how the evacuation is affected by different satellite constellation configurations (i.e., buffers, inter-satellite link capacities, etc.). Since our approach allows for Traffic Engineering (TE) to be performed, we also demonstrate how it enables fair resource utilization among different affected infrastructures during data evacuation. Our illustrative examples also compare our method to an approach designed for Delay-Tolerant-Vehicle networks and show how our solution can evacuate up to 60% more data after a disaster.

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On experimenting 5G: Testbed set-up for SDN orchestration across network cloud and IoT domains

Cited by 28 publications

References 18 publications

A Review on Software-Defined Networking Enabled Iot Cloud Computing

A Review on Software-Defined Networking Enabled Iot Cloud Computing

NFV-Enabled Experimental Platform for 5G Tactile Internet Support in Industrial Environments

Data evacuation from data centers in disaster-affected regions through software-defined satellite networks

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