scholarly journals Leveraging Software-Defined Networking Approach for Future Information-Centric Networking Enhancement

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 441
Author(s):  
Tawfik Guesmi ◽  
Anwar Kalghoum ◽  
Badr M. Alshammari ◽  
Haitham Alsaif ◽  
Ahmed Alzamil
Keyword(s):  
Network Performance ◽  
Communication Channels ◽  
Software Defined Networking ◽  
Potential Candidate ◽  
Information Centric Networking ◽  
New Approach ◽  
Future Networks ◽  
Networking Architectures ◽  
Positive Effect ◽  
Future Information

Information-centric networking (ICN) has been developed as a potential candidate for future networks. In this model, users are provided with content rather than communication channels between the different hosts. The ICN network has several problems such as scalability issues and bandwidth consumption. However, software-defined networking (SDN) has been proposed to improve the networking architectures. The goal of our paper is to propose a new approach to named-data networking (NDN) based on the paradigm of SDN. Our work introduces various research studies carried out in the SDN and ICN contexts. We first present the SDN architecture. Then, we focus on work that combines ICN and SDN architectures. Finally, we show the effects of using the SDN architecture on the named-data network (NDN). Our experimental results show that the use of the SDN architecture has a positive effect on NDN network performance.

Implementation of Network Traffic Monitoring using Software Defined Networking Ryu Controller

2021 ◽  
Vol 16 ◽  
pp. 270-277
Author(s):  
Omran M. A. Alssaheli ◽  
Z. Zainal Abidin ◽  
N. A. Zakaria ◽  
Z. Abal Abas
Keyword(s):  
Network Traffic ◽  
Network Architecture ◽  
Network Performance ◽  
Software Defined Networking ◽  
Traffic Monitoring ◽  
Cloud Services ◽  
Future Research ◽  
Mesh Topology ◽  
Network Controller ◽  
Network Traffic Monitoring

Network traffic monitoring is vital for enhancing the overall network performance and for optimizing the traffic flows. However, an emerging growth of use in cloud services, internet-of-things, block-chain and data analytics, demand the hardware-based-network-controller to provide more features for expanding network architecture. Therefore, Software Defined Networking (SDN) offers a new solution in terms of scalability, usability and programmable software-based-network-controller for the legacy network infrastructure. In fact, SDN provides a dynamic platform for the network traffic monitoring using international standard. In this study, SDN setup and installation method uses a Mininet emulator containing a controller Ryu with switching hub component, OpenFlow switches, and nodes. The number of nodes is adding until reaches to 16 nodes and evaluated through different network scenarios (single, linear and tree topology). Findings show that the single topology gives a winning criterion compared to other topologies. SDN implementation is measured with performance parameters such as Throughput, Jitter, Bandwidth and Round-Trip Time between scenarios using the Ryu controller. Future research explores on the performance of SDN in larger network and investigates the efficiency and effectiveness of SDN implementation in mesh topology.

scholarly journals “GENIT” AS EFFECTIVE DESIGN OF LEARNING MEDIA

2018 ◽  
Vol 42 ◽  
pp. 00043
Author(s):  
Mardiki Supriadi
Keyword(s):  
Traditional Approach ◽  
Educational Communication ◽  
Higher Learning ◽  
Educational Goals ◽  
New Approach ◽  
Learning Content ◽  
Teaching Content ◽  
Media And Technology ◽  
The Impact ◽  
Positive Effect

There are two main approaches to using media in schools: students can learn "from" Media and technology, and they can learn "with" media and technology. The basis for The use of media and technology as a "tutor" in schools is "educational communication," that is the deliberate act of communicating content (teaching content) for students by assuming that they will learn something "from" this communication, so communication is not again free but controlled and conditioned for educational purposes. Findings on the impact of technologybased instruction in education can be concluded that technology as a tutor has a positive effect on learning, one of them is the student can complete a set of educational goals in less time than necessary in a traditional approach. However, these two approaches only make the task become easier but do not activate and facilitate them to think critical and higher learning. “Media Genit” uses a new approach as an approach that can optimize perspective-based cognitive processes, constructivism, which constitutes an environment in which the student as a designer thinks creative about content combined with real-world tasks, student learning content, enjoy the learning process, and recognize that they have created something that is valuable.

scholarly journals Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey

2020 ◽  
Vol 12 (9) ◽  
pp. 147 ◽  
Author(s):  
Babangida Isyaku ◽  
Mohd Soperi Mohd Zahid ◽  
Maznah Bte Kamat ◽  
Kamalrulnizam Abu Bakar ◽  
Fuad A. Ghaleb
Keyword(s):  
Large Scale ◽  
Network Performance ◽  
Software Defined Networking ◽  
Cloud Services ◽  
Future Research ◽  
Control Plane ◽  
Processing Load ◽  
Flow Table ◽  
Data Plane ◽  
Large Scale Networks

Software defined networking (SDN) is an emerging network paradigm that decouples the control plane from the data plane. The data plane is composed of forwarding elements called switches and the control plane is composed of controllers. SDN is gaining popularity from industry and academics due to its advantages such as centralized, flexible, and programmable network management. The increasing number of traffics due to the proliferation of the Internet of Thing (IoT) devices may result in two problems: (1) increased processing load of the controller, and (2) insufficient space in the switches’ flow table to accommodate the flow entries. These problems may cause undesired network behavior and unstable network performance, especially in large-scale networks. Many solutions have been proposed to improve the management of the flow table, reducing controller processing load, and mitigating security threats and vulnerabilities on the controllers and switches. This paper provides comprehensive surveys of existing schemes to ensure SDN meets the quality of service (QoS) demands of various applications and cloud services. Finally, potential future research directions are identified and discussed such as management of flow table using machine learning.

scholarly journals A Smart Congestion Control Mechanism for the Green IoT Sensor-Enabled Information-Centric Networking

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2889 ◽  
Author(s):  
Rungrot Sukjaimuk ◽  
Quang Nguyen ◽  
Takuro Sato
Keyword(s):  
Congestion Control ◽  
Network Performance ◽  
Control Mechanism ◽  
Real Life ◽  
Future Internet ◽  
Global Scale ◽  
Information Centric Networking ◽  
Internet Architecture ◽  
Content Popularity ◽  
Congestion Control Mechanism

Information-Centric Networking (ICN) is a new Internet architecture design, which is considered as the global-scale Future Internet (FI) paradigm. Though ICN offers considerable benefits over the existing IP-based Internet architecture, its practical deployment in real life still has many challenges, especially in the case of high congestion and limited power in a sensor enabled-network for the Internet of Things (IoT) era. In this paper, we propose a smart congestion control mechanism to diminish the network congestion rate, reduce sensor power consumptions, and enhance the network performance of ICN at the same time to realize a complete green and efficient ICN-based sensor networking model. The proposed network system uses the chunk-by-chunk aggregated packets according to the content popularity to diminish the number of exchanged packets needed for data transmission. We also design the sensor power-based cache management strategy, and an adaptive Markov-based sensor scheduling policy with selective sensing algorithm to further maximize power savings for the sensors. The evaluation results using ndnSIM (a widely-used ICN simulator) show that the proposed model can provide higher network performance efficiency with lower energy consumption for the future Internet by achieving higher throughput with higher cache hit rate and lower Interest packet drop rate as we increase the number of IoT sensors in ICN.

scholarly journals The use of darbepoetin alpha in infants

2019 ◽  
Vol 10 (2) ◽  
pp. 63-69
Author(s):  
A. V. Shchegolev ◽  
G. Z. Sufianova ◽  
A. A. Sufianov ◽  
N. E. Ivanova ◽  
M. S. Khlestkina
Keyword(s):  
Chronic Kidney Disease ◽  
Premature Infants ◽  
Blood Cells ◽  
Rapid Progression ◽  
Short Term ◽  
New Approach ◽  
Main Disadvantage ◽  
Red Blood Cell Transfusions ◽  
Darbepoetin Alpha ◽  
Positive Effect

Among the somatic pathology in young children, the most common is anemic syndrome. Until recently, the commonest method for correction of anemia was hemotransfusion, which allows to restore normal hemoglobin quickly, but has the high risk of complications. The main disadvantage of this method is the short - term positive effect and necessity of repeating donor red blood cell transfusions to prevent rapid progression of anemia. The currently available alternative is the use of an erythropoiesis - stimulating agent, which increases the level of hemoglobin and red blood cells in the blood by stimulating of erythropoiesis in the bone marrow. Modern erythropoiesis - stimulating agent and anti - anemic drug, registered in Russian Federation, is darbepoetin alpha. When developing this drug, a new approach was used to increase the number of sialic acid residues and the degree of glycolysis. This helped to achieve an optimal ratio between the activity and the half - life period of the drug and made possible to prescribe it with longer intervals between injections. Currently, there is evidence of effective and safe use of darbepoetin alpha in premature infants with low body weight, anemia, encephalopathy and chronic kidney disease.

scholarly journals Centralized Energy Prediction in Wireless Sensor Networks Leveraged by Software-Defined Networking

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5379
Author(s):  
Gustavo A. Nunez Segura ◽  
Cintia Borges Margi
Keyword(s):  
Wireless Sensor Networks ◽  
Markov Chain ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Performance ◽  
Resource Constraints ◽  
Software Defined Networking ◽  
Wireless Sensor ◽  
Prediction Algorithm ◽  
Energy Prediction

Resource Constraints in Wireless Sensor Networks are a key factor in protocols and application design. Furthermore, energy consumption plays an important role in protocols decisions, such as routing metrics. In Software-Defined Networking (SDN)-based networks, the controller is in charge of all control and routing decisions. Using energy as a metric requires such information from the nodes, which would increase packets traffic, impacting the network performance. Previous works have used energy prediction techniques to reduce the number of packets exchanged in traditional distributed routing protocols. We applied this technique in Software-Defined Wireless Sensor Networks (SDWSN). For this, we implemented an energy prediction algorithm for SDWSN using Markov chain. We evaluated its performance executing the prediction on every node and on the SDN controller. Then, we compared their results with the case without prediction. Our results showed that by running the Markov chain on the controller we obtain better prediction and network performance than when running the predictions on every node. Furthermore, we reduced the energy consumption for topologies up to 49 nodes for the case without prediction.

scholarly journals A new methodology for analyzing vehicle network topologies for critical hacking

2020 ◽  
Author(s):  
Maen Ghadi ◽  
Ádám Sali ◽  
Zsolt Szalay ◽  
Árpád Török
Keyword(s):  
Network Security ◽  
Statistical Techniques ◽  
New Approach ◽  
Large Sample ◽  
Passenger Safety ◽  
Network Topologies ◽  
Vehicle Networks ◽  
Positive Effect ◽  
Vehicle Network ◽  
New Framework

Abstract This study aims to provide a new approach for describing and measuring the vulnerability of in-vehicle networks regarding cyberattacks. Cyberattacks targeting in-vehicle networks can result in a reasonable threat considering passenger safety. Unlike previous literature, the methodology focuses on a comparatively large sample of vehicle networks (114 objects) by proposing a new framework of statistical techniques for measuring, classifying, and modelling in-vehicle networks concerning the changed vulnerability, instead of dealing with each vehicle network individually. To facilitate understanding of the vulnerability patterns of in-vehicle networks, the dataset has been evaluated through three analytic stages: vulnerability identification, classification, and modeling. The result has helped in ranking vehicles based on their network vulnerability level. The result of the modeling has shown that every additional remote endpoint installation causes a relevant weakening in security. Higher cost vehicles have also appeared to be more vulnerable to cyberattacks, while the increase in the number of segmented network domains has had a positive effect on network security.

scholarly journals Road Landscape Morphology of Valley City Blocks under the Concept of “Open Block”—Taking Lanzhou City as an Example

2019 ◽  
Vol 11 (22) ◽  
pp. 6258
Author(s):  
Zeng ◽  
Qian ◽  
Ren ◽  
Xu ◽  
Wei
Keyword(s):  
Network Topology ◽  
Road Network ◽  
Network Performance ◽  
Statistical Characteristics ◽  
Small Scale ◽  
Lanzhou City ◽  
Geographical Environment ◽  
Landscape Morphology ◽  
Positive Effect ◽  
Valley City

The unique valley geographical environment and the congestion-prone road landscape make valley city traffic jammed easily. In this paper, under the background of “open blocks”, two open patterns, which correspond to two different road landscapes ("ideal grid opening" and "open under realistic conditions"), are proposed. Taking Lanzhou city as an example, six basic statistical characteristics are used to compare and analyze the changes of road network topology in blocks to find out which open pattern is more suitable for valley cities. The results show that the pattern "open under realistic conditions" has a significant effect on the improvement of network performance and capacity. Specifically, breaking the "large blocks" and developing the small-scale blocks help to alleviate the traffic pressure. Besides, the opening of blocks located along river valley has a more positive effect on improving road network performance than the blocks sited in the inner area of cities.

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