Search Results - (( java simulation optimization algorithm ) OR ( using machine cloud algorithm ))

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  1. 1

    Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

    Published 2019
    “…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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    Thesis
  2. 2

    Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers by Khoshkholghi, Mohammad Ali, Derahman, Mohd Noor, Abdullah, Azizol, Subramaniam, Shamala, Othman, Mohamed

    Published 2017
    “…Dynamic consolidation of virtual machines (VMs) using live migration and putting idle nodes in sleep mode allows cloud providers to optimize resource utilization and reduce energy consumption. …”
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    Article
  3. 3

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

    Published 2011
    “…Cloudsim simulator was used to test the proposed algorithm with real datasets collected as a cloud benchmark. …”
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  4. 4
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    Comparative study on job scheduling using priority rule and machine learning by Murad, Saydul Akbar, Zafril Rizal, M Azmi, Abu Jafar, Md Muzahid, Al-Imran, Md.

    Published 2021
    “…Implementation of a suitable scheduling algorithm is critical in order to properly use cloud resources. …”
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    Conference or Workshop Item
  6. 6

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

    Published 2012
    “…The proposed algorithm was transplanted in an adopted scheduling algorithm and tested using simu-lation with a synthetic dataset. …”
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  7. 7

    An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms by Ullah, Arif

    Published 2021
    “…The proposed HBAC algorithm was tested and compared with other stateof-the-art algorithms on 200 to 2000 even tasks by using CloudSim on standard workload format (SWF) data sets file size (200kb and 400kb). …”
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    Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail by Ismail, Mohd Badrulhisham

    Published 2014
    “…This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate the fly on the Lower and Upper Threshold Limit using Statistical Process Control theory. …”
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    Article
  10. 10

    Cloud computing load balancing technique with virtual machine migration / Rabiatul Addawiyah Mat Razali by Mat Razali, Rabiatul Addawiyah

    Published 2017
    “…Besides that, the performance of this technique is analyzed by using a Cloudsim simulator. Based on the analysis, positive results of the proposed algorithm are demonstrated, which shows the load balancing process is shown to have improved based on the distribution of virtual machines onto matching-type of resources, while a more efficient migration of virtual machines can be seen based on the defined CPU usage thresholds. …”
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  11. 11

    Wireless water quality cloud monitoring system with self-healing algorithm by Syed Ariffin, Sharifah Hafizah, Baharudin, Muhammad Ariff, Mohd Fauzi, Mohd Husaini, Abdul Latiff, Nurul Mu'azzah, Syed Yusof, Sharifah Kamilah, Abdul Latiff, Nurul Adilah

    Published 2017
    “…Favoriot is a platform for IoT and machine-to-machine (M2M) development. For this project, Favoriot platform is used for real time data. …”
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    Conference or Workshop Item
  12. 12

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…The proposed algorithm is evaluated using the WorkflowSim simulation with a real dataset. …”
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    Thesis
  13. 13

    Optimising cloud computing performance with an enhanced dynamic load balancing algorithm for superior task allocation by Zhanuzak, Raiymbek, Ala'anzy, Mohammed Alaa, Othman, Mohamed, Algarni, Abdulmohsen

    Published 2024
    “…Evaluations using CloudSim simulations demonstrate that the EDLB algorithm achieves substantial average improvements over benchmark algorithm and the-state-of-the-art algorithm, including a 59.46% reduction in total makespan, a 12.70% reduction in average makespan, a 22.46% reduction in execution time, and a 3.10% increase in resource utilisation. …”
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    Article
  14. 14

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

    Published 2013
    “…Then they are assigned to the machines according to the assignment algorithm for job combinations, which is a special integer partition algorithm. …”
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  15. 15

    Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail by Ismail, Mohd Badrulhisham

    Published 2014
    “…Latest trend in green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. …”
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    Thesis
  16. 16

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

    Published 2019
    “…Cloud Service Provider (CRP) provides services on demand to the users, as the application as well as the numbers of users are gradually growing over the cloud environment which leads to the increasing in the workload that are deployed over the virtual machine (VM). …”
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  17. 17

    System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO) by Mohd Erwan Mazalan

    Published 2022
    “…Optimization algorithms can be used to solve Non-deterministic Polynomial (NP) hard problem like system management. …”
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    Academic Exercise
  18. 18

    Energy Efficient High-Performance Computing Aware Proactive Dynamic Virtual Machine Consolidation Technique in Cloud Computing by Rukshanda, Kamran

    Published 2022
    “…Experiments were conducted using CloudSim and real HPC workload traces of Metacentrum HPC Workload. …”
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    Energy and performance efficient resource allocation for cloud-based data centers by Akhter, Nasrin

    Published 2015
    “…Users have to pay as much as they use which also known as pay as you go model. Cloud computing facilitates sharing resources over the Internet. …”
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