Search Results - "Alsadie, Deafallah"

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  1. 1

    TSMGWO: Optimizing Task Schedule Using Multi-Objectives Grey Wolf Optimizer for Cloud Data Centers by Alsadie, Deafallah

    Published in IEEE access (2021)
    “…Cloud computing is considered to be the best solution for addressing the increasing computing requirements of high-performance applications. The efficient…”
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    Journal Article
  2. 2

    A Metaheuristic Framework for Dynamic Virtual Machine Allocation With Optimized Task Scheduling in Cloud Data Centers by Alsadie, Deafallah

    Published in IEEE access (2021)
    “…Optimal allocation of virtual machines in a cloud computing environment for user-submitted tasks is a challenging task. Finding an optimal task scheduling…”
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    Journal Article
  3. 3

    Artificial Intelligence Techniques for Securing Fog Computing Environments: Trends, Challenges, and Future Directions by Alsadie, Deafallah

    Published in IEEE access (2024)
    “…Fog computing, an extension of cloud computing, enhances capabilities by processing data closer to the source, thereby addressing latency and bandwidth issues…”
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    Journal Article
  4. 4

    A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions by Alsadie, Deafallah

    Published in IEEE access (2024)
    “…Fog computing (FC), extending cloud services to the network edge, has emerged as a key paradigm for low-latency applications like the Internet of Things (IoT)…”
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    Journal Article
  5. 5

    Efficient Task Offloading Strategy for Energy-Constrained Edge Computing Environments: A Hybrid Optimization Approach by Alsadie, Deafallah

    Published in IEEE access (2024)
    “…Edge Computing (EC) has emerged as a pivotal paradigm, offering solutions to address the challenges posed by latency-sensitive applications and to enhance…”
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    Journal Article
  6. 6

    Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects by Alsadie, Deafallah

    Published in PeerJ. Computer science (17-06-2024)
    “…Fog computing has emerged as a prospective paradigm to address the computational requirements of IoT applications, extending the capabilities of cloud…”
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    Journal Article
  7. 7

    Enhancing workflow efficiency with a modified Firefly Algorithm for hybrid cloud edge environments by Alsadie, Deafallah, Alsulami, Musleh

    Published in Scientific reports (21-10-2024)
    “…Efficient scheduling of scientific workflows in hybrid cloud-edge environments is crucial for optimizing resource utilization and minimizing completion time…”
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    Journal Article
  8. 8

    Efficient Resource Management in Cloud Environments: A Modified Feeding Birds Algorithm for VM Consolidation by Alsadie, Deafallah, Alsulami, Musleh

    Published in Mathematics (Basel) (01-06-2024)
    “…Cloud data centers play a vital role in modern computing infrastructure, offering scalable resources for diverse applications. However, managing costs and…”
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    Journal Article
  9. 9

    Efficient content caching for 5G assisted vehicular networks by Ahmed, Faareh, Alsamani, Badr, Alkhathami, Mohammed, Alsadie, Deafallah, Alosaimi, Norah, Alenzi, Badriya, Nkenyereye, Lewis

    Published in Scientific reports (18-02-2024)
    “…Traffic congestion is one of the major challenges faced by daily commuters in smart cities. An autonomous transportation system with a 5 G-based Cellular…”
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    Journal Article
  10. 10

    EOTE-FSC: An efficient offloaded task execution for fog enabled smart cities by Nawaz Tareen, Faheem, Alvi, Ahmad Naseem, Alsamani, Badr, Alkhathami, Mohammed, Alsadie, Deafallah, Alosaimi, Norah

    Published in PloS one (05-04-2024)
    “…Smart cities provide ease in lifestyle to their community members with the help of Information and Communication Technology (ICT). It provides better water,…”
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    Journal Article
  11. 11

    Secure Computing for Fog-Enabled Industrial IoT by Alvi, Ahmad Naseem, Ali, Bakhtiar, Saleh, Mohamed Saad, Alkhathami, Mohammed, Alsadie, Deafallah, Alghamdi, Bushra

    Published in Sensors (Basel, Switzerland) (01-04-2024)
    “…Smart cities are powered by several new technologies to enhance connectivity between devices and develop a network of connected objects which can lead to many…”
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  12. 12

    TIHCS: Trust-Based Improved QoS for Health Care Systems in Smart Cities by Ali, Haider, Naseem Alvi, Ahmad, Alkhathami, Mohammed, Alsadie, Deafallah, Alashaib, Fatamh

    Published in IEEE access (2024)
    “…Healthcare management is a major application of future Internet of Things (IoT)-based smart cities. The healthcare applications rely on the use of Internet of…”
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    Journal Article
  13. 13

    IRS-User Association in Multi-IRS Assisted Cognitive Radio Networks by Khan, Mohsin, Mirza, Jawad, Alsamani, Badr, Alkhathami, Mohammed, Alsadie, Deafallah, Alosaimi, Norah

    Published in IEEE access (01-01-2024)
    “…In this paper, we consider multiple intelligent reflecting surfaces (IRSs) assisted cognitive radio network (CRN) and investigate user-IRS association problem…”
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  14. 14

    A many-to-many matching with externalities solution for parallel task offloading in IoT networks by Malik, Usman Mahmood, Javed, Muhammad Awais, AlMohimeed, Abdulaziz, Alkhathami, Mohammed, Alsadie, Deafallah, Almujalli, Abeer

    “…The efficient and timely execution of tasks is a fundamental challenge in the realm of future Internet of Things (IoT) networks. To address this challenge, fog…”
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  15. 15

    Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning by Yaqoob, Muhammad Mateen, Alsulami, Musleh, Khan, Muhammad Amir, Alsadie, Deafallah, Saudagar, Abdul Khader Jilani, AlKhathami, Mohammed, Khattak, Umar Farooq

    Published in Symmetry (Basel) (01-07-2023)
    “…Skin cancer represents one of the most lethal and prevalent types of cancer observed in the human population. When diagnosed in its early stages, melanoma, a…”
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  16. 16

    User-IRS Association for Sum-Rate Maximization in Multi-IRS Aided Wireless Communication Networks by Khan, Zarghuna Suhail, Mirza, Jawad, Obidallah, Waeal J., Alkhathami, Mohammed, Alsadie, Deafallah, Alsuwailem, Rawan

    Published in IEEE access (01-01-2024)
    “…In this paper, we investigate the assignment of intelligent reflecting surfaces (IRSs) to user-base station (BS) pairs in a multi-IRS-assisted wireless…”
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  17. 17

    Intelligent Reconfigurable Surface Assisted Constellation Index Selection Spatial Modulation Over Nakagami-m Fading Channels by Khan, Muhammad Wasif, Mirza, Jawad, Obidallah, Waeal J., Alkhathami, Mohammed, Alsadie, Deafallah, Alsuwailem, Rawan

    Published in IEEE access (2024)
    “…Intelligent Reconfigurable Surface has become a promising technique in recent years due to its inherent ability to overcome the severe wireless fading channel…”
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  18. 18

    TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities by Alvi, Ahmad Naseem, Ali, Mumtaz, Saleh, Mohamed Saad, Alkhathami, Mohammed, Alsadie, Deafallah, Alghamdi, Bushra, Alenzi, Badriya

    Published in Applied sciences (01-02-2024)
    “…The popularity of fog-enabled smart cities is increasing due to the advantages provided by modern communication and information technologies, which contribute…”
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  19. 19

    TETES: Trust Based Efficient Task Execution Scheme for Fog Enabled Smart Cities by Alvi, Ahmad Naseem, Ali, Bakhtiar, Saleh, Mohamed Saad, Alkhathami, Mohammed, Alsadie, Deafallah, Alghamdi, Bushra

    Published in Applied sciences (01-12-2023)
    “…Quality lifestyle leads to increasing trends in smart cities by offering modern communication and information technologies. Smart cities offer multiple…”
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    Journal Article
  20. 20

    Federated Machine Learning for Skin Lesion Diagnosis: An Asynchronous and Weighted Approach by Yaqoob, Muhammad Mateen, Alsulami, Musleh, Khan, Muhammad Amir, Alsadie, Deafallah, Saudagar, Abdul Khader Jilani, AlKhathami, Mohammed

    Published in Diagnostics (Basel) (05-06-2023)
    “…The accurate and timely diagnosis of skin cancer is crucial as it can be a life-threatening disease. However, the implementation of traditional machine…”
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    Journal Article