Search Results - (( based application ((cloud algorithm) OR (acs algorithm)) ) OR ( _ application need algorithm ))*

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  1. 1

    Dynamic load balancing algorithm based on deadline constrained in cloud environment by Mansur, Muzzammil

    Published 2019
    “…Due to the growing in traffic as well as workload, there is need for the cloud resource broker to have effective as well as efficient algorithm that disseminate task properly within the entire running VM, also decreases the rejection ratio of the task. …”
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    Thesis
  2. 2

    Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements by Ramadhan, Mazen Farid Ebrahim

    Published 2022
    “…MOS-MWO can thus be applied in cloud-based applications to effectively schedule workflow while achieving significant improvement in the QoS satisfaction rate (QSR) to 4.8% compared with the multi-objective scheduling algorithm (MOS). …”
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    Thesis
  3. 3

    Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing by Naha, Ranesh Kumar

    Published 2015
    “…Proposed cloud brokering algorithms works with different types of cloud provider and deal with various user requirements. …”
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    Thesis
  4. 4

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

    Published 2022
    “…The natural evolution optimization algorithm which is genetic algorithm can be improve by combining the nature meta-heuristic algorithms which is bald eagle search to improve the makespan of genetic algorithm using cloudsim that need to be implement on the eclipse platform. …”
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    Academic Exercise
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    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…The cloud paradigm has arisen due to a rapid growth in applications and data sizes. …”
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    Thesis
  7. 7

    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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    Thesis
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    A hyper-heuristic cost optimisation approach for Scientific Workflow Scheduling in cloud computing by Alkhanak, Ehab Nabiel, Lee, Sai Peck

    Published 2018
    “…Thus, the main objective of this paper is to propose a Completion Time Driven Hyper-Heuristic (CTDHH) approach for cost optimisation of SWFS in a cloud environment. The CTDHH approach employs four well-known population-based meta-heuristic algorithms, which act as Low Level Heuristic (LLH) algorithms. …”
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    Article
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    Efficient DNS based Load Balancing for Bursty Web Application Traffic by Chin, Mei Lu, Chong, Eng Tan, Mohamad Imran, Bin Bandan

    Published 2012
    “…This research proposes a new efficient load balancing algorithm which applies to the local Domain Name Service (DNS) server for web based applications and services to ease the sudden increase in demand for the services. …”
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    Article
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    IOT-based fertigation system / Mohamad Amir Furqan Darus by Darus, Mohamad Amir Furqan

    Published 2024
    “…These sensors provide real-time data about the crops’ environment, which is then sent to a central hub or cloud platform. Advanced algorithms and machine learning processes this data to determine the ideal irrigation and fertilization needs. …”
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    Student Project
  17. 17

    Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review by Al-Qadhi, Abdulrahman K., Latip, Rohaya, Chiong, Raymond, Athauda, Rukshan, Hussin, Masnida

    Published 2025
    “…To assure unbiased evaluation, a benchmark to assess task scheduling algorithms is proposed based on comparison to state-or-art algorithms, applicability to real-world contexts, meeting the objectives of the study, negative impacts on other performance metrics, and sizes of datasets used for evaluation. …”
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    Article
  18. 18

    ECG encryption enhancement with multi-layers of AES and DNA computing by Kh-Madhloom, Jamal

    Published 2023
    “…The proposed model is able to protect the DNA sequence stored in the Fog Computing cloud from plain text attacks by generating (I) the main key, which is the key to the EAES encryption algorithm, (II) the rule 1 key, which represents the DNA base number of possible key probabilities, and (III) the rule 2 key, which represents the number of binding probabilities for the DNA helical structure. …”
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    Thesis
  19. 19

    Secure lightweight client for cloud-based E-Health Model by Zhang, Xiaowei

    Published 2023
    “…In this study, a secure cloud-based electronic health system model (SCBEH) is proposed. …”
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    Thesis
  20. 20

    Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm by Tan, Chee Kuan

    Published 2020
    “…This system will first cluster those addresses based on the number of trucks involved and then perform the route optimization algorithm to suggest the shortest route to the user. …”
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    Final Year Project / Dissertation / Thesis