Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

Ateya, Abdelhamied A.; Alhussan, Amel Ali; Abdallah, Hanaa A.; duailij, Mona A. Al; Khakimov, Abdukodir; Muthanna, Ammar

doi:10.32604/csse.2023.031841

Cited by 4 publications

(1 citation statement)

References 40 publications

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“…Edge computing is a promising paradigm to overcome these issues and empower IoT networks with coverage and resources [11]. Fog computing extends the cloud computing model, where computing capabilities are distributed closer to the network's edge rather than relying solely on centralized cloud servers.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Offloading in Flying Fog Computing: Optimizing IoT Network Performance with Mobile Drones

Min,

Khakimov,

Ateya

et al. 2023

Drones

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The rapid growth of Internet of Things (IoT) devices and the increasing need for low-latency and high-throughput applications have led to the introduction of distributed edge computing. Flying fog computing is a promising solution that can be used to assist IoT networks. It leverages drones with computing capabilities (e.g., fog nodes), enabling data processing and storage closer to the network edge. This introduces various benefits to IoT networks compared to deploying traditional static edge computing paradigms, including coverage improvement, enabling dense deployment, and increasing availability and reliability. However, drones’ dynamic and mobile nature poses significant challenges in task offloading decisions to optimize resource utilization and overall network performance. This work presents a novel offloading model based on dynamic programming explicitly tailored for flying fog-based IoT networks. The proposed algorithm aims to intelligently determine the optimal task assignment strategy by considering the mobility patterns of drones, the computational capacity of fog nodes, the communication constraints of the IoT devices, and the latency requirements. Extensive simulations and experiments were conducted to test the proposed approach. Our results revealed significant improvements in latency, availability, and the cost of resources.

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Section: Introductionmentioning

confidence: 99%

Dynamic Offloading in Flying Fog Computing: Optimizing IoT Network Performance with Mobile Drones

Min,

Khakimov,

Ateya

et al. 2023

Drones

Self Cite

View full text Add to dashboard Cite

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Holographic Images Delivery Model Toward 6G Telepresence Services

Svechnikov,

Dunaytsev,

Muthanna

et al. 2024

Lecture Notes in Computer Science

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Enabling Technologies for Next-Generation Smart Cities: A Comprehensive Review and Research Directions

Ali,

Elsaid,

Ateya

et al. 2023

Future Internet

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The concept of smart cities, which aim to enhance the quality of urban life through innovative technologies and policies, has gained significant momentum in recent years. As we approach the era of next-generation smart cities, it becomes crucial to explore the key enabling technologies that will shape their development. This work reviews the leading technologies driving the future of smart cities. The work begins by introducing the main requirements of different smart city applications; then, the enabling technologies are presented. This work highlights the transformative potential of the Internet of things (IoT) to facilitate data collection and analysis to improve urban infrastructure and services. As a complementary technology, distributed edge computing brings computational power closer to devices, reducing the reliance on centralized data centers. Another key technology is virtualization, which optimizes resource utilization, enabling multiple virtual environments to run efficiently on shared hardware. Software-defined networking (SDN) emerges as a pivotal technology that brings flexibility and scalability to smart city networks, allowing for dynamic network management and resource allocation. Artificial intelligence (AI) is another approach for managing smart cities by enabling predictive analytics, automation, and smart decision making based on vast amounts of data. Lastly, the blockchain is introduced as a promising approach for smart cities to achieve the required security. The review concludes by identifying potential research directions to address the challenges and complexities brought about by integrating these key enabling technologies.

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Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

Cited by 4 publications

References 40 publications

Dynamic Offloading in Flying Fog Computing: Optimizing IoT Network Performance with Mobile Drones

Dynamic Offloading in Flying Fog Computing: Optimizing IoT Network Performance with Mobile Drones

Holographic Images Delivery Model Toward 6G Telepresence Services

Enabling Technologies for Next-Generation Smart Cities: A Comprehensive Review and Research Directions

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