Search Results - (( web application ((tree algorithm) OR (bat algorithm)) ) OR ( its applications cloud algorithm ))

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  1. 1
    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm

    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

    Published 2022
    “…The result of the algorithm performance will be appeared in web application system. …”
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  2. 2
    Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm

    Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm by Ibrahim, Hamidah, Yasin, Waheed, Abdul Hamid, Nor Asilah Wati, Udzir, Nur Izura

    Published 2014
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  3. 3
    An optimized attack tree model for security test case planning and generation

    An optimized attack tree model for security test case planning and generation by Omotunde, Habeeb, Ibrahim, Rosziati, Ahmed, Maryam

    Published 2018
    “…This paper presents an attack tree modeling algorithm for deriving a minimal set of effective attack vectors required to test a web application for SQL injection vulnerabilities. …”
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  4. 4
    Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level

    Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

    Published 2024
    thesis::doctoral thesis
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  5. 5
    A Penalty-Based Genetic Algorithm For The Composite Saas Placement Problem In The Cloud

    A Penalty-Based Genetic Algorithm For The Composite Saas Placement Problem In The Cloud by Mohd Yusoh, Zeratul Izzah, Tong, Maolin

    Published 2010
    “…Cloud computing is a latest new computing paradigm where applications, data and IT services, are provided over the Internet. …”
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  6. 6
    Two objectives big data task scheduling using swarm intelligence in cloud computing

    Two objectives big data task scheduling using swarm intelligence in cloud computing by Diallo, Laouratou, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke, Islam, Shayla, Zarir, Abdullah Ahmad

    Published 2016
    “…Although many scheduling algorithms have been implemented for cloud computing, it has been realized that most of the applications nowadays require different objectives that simple scheduling algorithms fail to achieve. …”
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  7. 7
    Impatient job scheduling under cloud computing

    Impatient job scheduling under cloud computing by Mahdi, Nawfal A.

    Published 2012
    “…The first part focuses on review- ing the previous immediate mode scheduling and adopting them on cloud paradigm. The limitations of those algorithms were addressed and this leads to the proposition of an algorithm that has the ability to map the impatient jobs to virtual machines near its input, output, application, or forth party. …”
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  8. 8
    Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment

    Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment by Abdullah, Monir, Othman, Mohamed

    Published 2014
    “…The advent of cloud computing as a new model of service provisioning in distributed systems, encourages researchers to investigate its benefits and drawbacks in executing scientific applications such as workflows. …”
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  9. 9
    Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems

    Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems by Ibrahim, Hamidah, Yasin, Waheed, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

    Published 2016
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  10. 10
    Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)

    Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

    Published 2022
    “…The genetic algorithm was widely used because of its accuracy and simplicity. …”
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  11. 11
    Energy and performance efficient resource allocation for cloud-based data centers

    Energy and performance efficient resource allocation for cloud-based data centers by Akhter, Nasrin

    Published 2015
    “…The underlying concept of cloud computing isthe separation of applications from the operating systems and the hardware on which they run. …”
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  12. 12
    Implementing Location-Based Cryptography on Mobile Application Design to Secure Data in Cloud Storage

    Implementing Location-Based Cryptography on Mobile Application Design to Secure Data in Cloud Storage by Shamsuddin N.S.M., Sakinah Ali Pitchay

    Published 2024
    journal::journal article
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  13. 13
    Performance evaluation of task scheduling using hybrid meta-heuristic in heterogeneous cloud environment

    Performance evaluation of task scheduling using hybrid meta-heuristic in heterogeneous cloud environment by A. Saif, Faten, Derahman, Mohd Noor, Alwan, Ali Amer, Latip, Rohaya

    Published 2019
    “…Task scheduling is one of the significant function in the cloud computing environment which plays a vital role to sustain the performance of the system and improve its efficiency. …”
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  14. 14
    Performance evaluation of task scheduling using hybrid meta-heuristic in heterogeneous cloud environment

    Performance evaluation of task scheduling using hybrid meta-heuristic in heterogeneous cloud environment by Mohammed, Faten Ameen Saif, Derahman, Mohd Noor, Alwan, Ali Amer, Latip, Rohaya

    Published 2019
    “…Task scheduling is one of the significant function in the cloud computing environment which plays a vital role to sustain the performance of the system and improve its efficiency. …”
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  15. 15
    Impatient task mapping in elastic cloud using genetic algorithm

    Impatient task mapping in elastic cloud using genetic algorithm by Mehdi, Nawfal A., Mamat, Ali, Ibrahim, Hamidah, K. Subramaniam, Shamala

    Published 2011
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  16. 16
    A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution

    A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution by Saydul Akbar, Murad

    Published 2023
    “…These limitations lead to the poor performance of cloud-based mobile applications and other cloud services. …”
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  17. 17
    A Data Mining Approach to Construct Graduates Employability Model in Malaysia

    A Data Mining Approach to Construct Graduates Employability Model in Malaysia by Myzatul Akmam Sapaat, Aida Mustapha, Johanna Ahmad, Khadijah Chamili, Rahamirzam Muhamad

    Published 2024
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  18. 18
    Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment

    Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment by Sa'ad, Suleiman

    Published 2022
    “…The SOS and its variants Discrete Symbiotic Organisms Search (DSOS) algorithm have been used to solve different optimisation problems including tasks scheduling in cloud computing environment where results obtained are promising in comparison with stateof- the-art metaheuristic algorithms. …”
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  19. 19
    Car dealership web application

    Car dealership web application by Yap, Jheng Khin

    Published 2022
    “…In this project, a web application and a web service were proposed and implemented. …”
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    Final Year Project / Dissertation / Thesis
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  20. 20
    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing

    Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing by Elrasheed Ismail, Sultan

    Published 2013
    “…Researches on data Cloud Computing become the necessary trend in the distributed Cloud Computing system domain since the sources and application of the data are distributed and the scale of the applications enlarges quickly. …”
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