Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

Njah, Yosra; Pham, Chuan; Cheriet, Mohamed

doi:10.1109/access.2020.3005569

Cited by 13 publications

(12 citation statements)

References 59 publications

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“…Establishing an efficient, fast, and user-friendly educational application information system becomes essential by using modern network technology and educational technology. "Digital campus" based on current information network technology and communication technology is a new teaching method [2]. In particular, the development of web 2.0 technology provides technical support for strengthening the function of the educational application information system and improving the system experience.…”

Section: Introductionmentioning

confidence: 99%

Application of Web 2.0 Technology to Cooperative Learning Environment System Design of Football Teaching

Lin

2022

Wireless Communications and Mobile Computing

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In general, web 2.0 technology serves as an educational tool for teaching and learning aspects. The study is aimed at exploring the interactive system of football teaching in the information technology era. The coach and players will utilize the mobile learning resources to get effective learning about the fun. Using mobile learning technology, the coach has to implement different modes to make the players learn about the game. The study implemented the convolutional neural network (CNN) algorithm to evaluate the accuracy of using web 2.0 technology to cooperative learning environment system design of football teaching. The results show that the network teaching interactive learning system of football courses based on web 2.0 can achieve the intended function of the college educational administration management system.

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Section: Introductionmentioning

confidence: 99%

Application of Web 2.0 Technology to Cooperative Learning Environment System Design of Football Teaching

Lin

2022

Wireless Communications and Mobile Computing

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“…The delay on the path is computed by the sum of all the delays of the links in p, as shown in (5). The end-to-end loss rate probability on path p is calculated by the product of the individual packet loss ratios per link of all links belonging to p [18], as shown in (6).…”

Section: ) the Detnet Routing Problemmentioning

confidence: 99%

“…Accordingly, if we need to provide a new cooperation mechanism, we should update the communication protocols of all the related devices, one by one, which leads to reduced network efficiency and degraded service performance. Therefore, considering the great number of heterogeneous wired and wireless communication systems, the deployment of an IIoT-based environment requires the setup of a holistic smart architecture that enables dynamic, flexible, and efficient remote controls and configurations [18]. Moreover, it is crucial to highlight that the intensive setup of multiple IIoT-based devices leads to tremendous growth in the amount of generated electric data.…”

Section: Introductionmentioning

confidence: 99%

Parallel Route Optimization and Service Assurance in Energy-Efficient Software-Defined Industrial IoT Networks

Njah

Cheriet

2021

IEEE Access

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In recent years, the Industrial world has been embracing new digital technology, including the internet of things (IoT) paradigm that promises revolutionizing-prospects in numerous industrial applications. However, many deployment challenges related to real-time big data analytics, service assurance, resource optimization, energy consumption, and security awareness are raised. In this work, we focus on service assurance and resource optimization, including energy consumption challenges over Industrial Internet of Things (IIoT)-based environments since the existing network routing algorithms cannot meet the strict heterogeneous quality of service (QoS) requirements of industrial communications while optimizing resources. We take advantage of the flexibility and programmability offered by the promising softwaredefined networking paradigm, and we propose a centralized route optimization and service assurance scheme, named ROSA, over a multi-layer programmable industrial architecture. The proposed solution supports a wide range of heterogeneous flows, such as ultra-reliable low-latency communications (URLLC) and bandwidth-sensitive services. The routing optimization problems are formulated as multi-constrained shortest path problems. The Lagrangian Relaxation approach is used to solve the NP-hard complexity. Hence, we deploy a pair of parallel routing algorithms run according to the flow type to ensure QoS requirements, efficiently allocate constrained resources, and enhance the overall network energy consumption. We conduct extensive simulations to validate the proposed ROSA scheme. The experimental results show promising performance in terms of reducing bandwidth utilization by up to 22%, end-to-end delay at least by 21%, packet loss by more than 19%, flow violation by about 16%, and energy consumption up to 14% as compared to well-known benchmarks in QoS provisioning and energy-aware routing problem.INDEX TERMS Industrial Internet of Things (IIoT), Software-Defined Networking (SDN), multiprogrammability, traffic engineering, Quality of Service (QoS), energy awareness, resource optimization.

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“…Meanwhile, campuses that have not implemented a smart campus have a stand-alone system between sections so that there is no integrated central data system [13].…”

Section: B Definition Smart Campusmentioning

confidence: 99%

IoT Usage On Smart Campus: A Systematic Literature Review

Madyatmadja¹,

Yulia²,

Sembiring³

et al. 2021

IJETAE

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— At present and along with the development of the times, higher education or campuses are increasingly competing with each other, especially in Indonesia. Each campus is competing to improve its quality so that it has a good assessment and can become a World Class University. This is done in various ways, for example, such as providing campus infrastructure that is equipped with adequate technology or combining technology into activities or all processes on campus, this is called the implementation of a smart campus. So that by forming a smart campus, the campus can produce better quality human resources. One form of technological advancement is the emergence of internet technology, the Internet stands for interconnection networking as a communication network connecting between electronic media using the standard IP (Internet Protocol). The internet has many benefits that make it widely used in various industrial sectors, one of which is in the higher education industry. IoT exists as an evolution of the internet as a system that has remote control. IoT is one of the right solutions to support smart campus implementation. The use of IoT on a smart campus can improve campus quality, efficiency and effectiveness. The purpose of this study is to determine the description of IoT, the network technology used and how the implementation can be done on a smart campus

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Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

Cited by 13 publications

References 59 publications

Application of Web 2.0 Technology to Cooperative Learning Environment System Design of Football Teaching

Application of Web 2.0 Technology to Cooperative Learning Environment System Design of Football Teaching

Parallel Route Optimization and Service Assurance in Energy-Efficient Software-Defined Industrial IoT Networks

IoT Usage On Smart Campus: A Systematic Literature Review

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