An Efficient Multipriority Data Packet Traffic Scheduling Approach for Fog of Things

Serdaroğlu, Kemal Çağrı; Baydere, Şebnem

doi:10.1109/jiot.2021.3084502

Cited by 9 publications

(4 citation statements)

References 31 publications

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“…Ensure that most of the work is done at the optimal frequency on the preferred processor. Most work is done at the lowest theoretical state [19]. It also prevents DVFS tasks from executing at high frequencies on undesirable processors.…”

Section: Algorithm Comparison Resultsmentioning

confidence: 99%

Heterogeneous High-Performance System Algorithm Based on Computer Big Data Technology

Pan

2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: In this paper, a scheduling algorithm for heterogeneous systems based on prioritization (PQDSA) is proposed. This algorithm is a sort method based on directed acyclic graph (DAG). The key nodes in the network are grouped according to the communication and computing costs in the network. This increases the parallelism between task schedules and reduces the completion time of work sets. Then, a method of assigning multiple tasks to multiple processors using interpolation is proposed. The PQDSA method can effectively reduce the time of scheduling multiple tasks and improve the scheduling effect. PQDSA is compared with EDL-θ and EDF scheduling methods. The results show that this method has better scheduling efficiency.

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Section: Algorithm Comparison Resultsmentioning

confidence: 99%

Heterogeneous High-Performance System Algorithm Based on Computer Big Data Technology

Pan

2023

ICST Transactions on Scalable Information Systems

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“…To avoid data starvation in a scalable fog architecture, ref. [22] suggested an effective scheduling method based on complicated event processing. The cost resources reduced and performance requirements are still being met.…”

Section: Related Workmentioning

confidence: 99%

A Fog-Cluster Based Load-Balancing Technique

et al. 2022

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The Internet of Things has recently been a popular topic of study for developing smart homes and smart cities. Most IoT applications are very sensitive to delays, and IoT sensors provide a constant stream of data. The cloud-based IoT services that were first employed suffer from increased latency and inefficient resource use. Fog computing is used to address these issues by moving cloud services closer to the edge in a small-scale, dispersed fashion. Fog computing is quickly gaining popularity as an effective paradigm for providing customers with real-time processing, platforms, and software services. Real-time applications may be supported at a reduced operating cost using an integrated fog-cloud environment that minimizes resources and reduces delays. Load balancing is a critical problem in fog computing because it ensures that the dynamic load is distributed evenly across all fog nodes, avoiding the situation where some nodes are overloaded while others are underloaded. Numerous algorithms have been proposed to accomplish this goal. In this paper, a framework was proposed that contains three subsystems named user subsystem, cloud subsystem, and fog subsystem. The goal of the proposed framework is to decrease bandwidth costs while providing load balancing at the same time. To optimize the use of all the resources in the fog sub-system, a Fog-Cluster-Based Load-Balancing approach along with a refresh period was proposed. The simulation results show that “Fog-Cluster-Based Load Balancing” decreases energy consumption, the number of Virtual Machines (VMs) migrations, and the number of shutdown hosts compared with existing algorithms for the proposed framework.

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“…Sports football is a strange sport, and the organizers hope to try a series of interesting projects to further meet the positive choices of amateur football fans, so that each student can effectively use different types of extracurricular organization forms to give full play to students' football skills. Reflect the special ability of students, create special sports programs by allowing students to exercise in a positive football atmosphere, and at the same time improve their enthusiasm for participating in sports [11,12].…”

Section: Principles For the Development Of Football Sportsmentioning

confidence: 99%

Innovation and Development of Sports Football Teaching Mode under the Background of Big Data and Internet of Things

Liu

2022

Wireless Communications and Mobile Computing

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Football is a sport that integrates competition, fitness, and entertainment, and its proportion in national development is rising. Under the background of big data, how to better carry out the innovation of physical education teaching mode is an important problem facing the current football reform. This paper mainly studies the effect of sports football teaching innovation on improving the ability of football education and students’ interest in football learning. This paper mainly uses the experimental method, the survey method, and the expert interview method to study the theory of football teaching and the model innovation under the big data. According to the basic principles and requirements, the questionnaires were distributed, filled out, and collected on the spot, and finally, the questionnaires were sorted and analyzed to draw conclusions. Finally, according to the experimental results, the average scores of the experimental students in group A were 8.2 and 73.5, respectively. The average scores of group B students were 81.6 and 74.3, respectively. The experimental group was significantly better than the control group in terms of test scores and performance levels, indicating that the use of new teaching methods combining big data and the Internet is of great significance.

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An Efficient Multipriority Data Packet Traffic Scheduling Approach for Fog of Things

Cited by 9 publications

References 31 publications

Heterogeneous High-Performance System Algorithm Based on Computer Big Data Technology

Heterogeneous High-Performance System Algorithm Based on Computer Big Data Technology

A Fog-Cluster Based Load-Balancing Technique

Innovation and Development of Sports Football Teaching Mode under the Background of Big Data and Internet of Things

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