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  1. 1
    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system

    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system by Beg, Abul Hashem

    Published 2011
    “…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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    Thesis
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  2. 2
    Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing

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

    Published 2015
    “…The cloud computing transforms computing services into "as a service" form. …”
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  3. 3
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
    “…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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  4. 4
    Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm

    Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm by Mantoro, Teddy, Olowolayemo, Akeem Koye

    Published 2009
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    Proceeding Paper
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  5. 5
    An adaptive QOS scheduling algorithm in service oriented grid and cloud environment / Ang Tan Fong

    An adaptive QOS scheduling algorithm in service oriented grid and cloud environment / Ang Tan Fong by Ang, Tan Fong

    Published 2011
    “…The merging of virtualization, utility computing and distributed computing with Service Oriented Architecture (SOA) has provided greater flexibility and ushered in a new paradigm of on-demand services. …”
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  6. 6
    A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres

    A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres by Atiewi S., Yussof S., Rusli M.E.B., Zalloum M.

    Published 2023
    “…Cloud computing; Costs; Dynamic frequency scaling; Electric power utilization; Energy efficiency; Energy utilization; Infrastructure as a service (IaaS); Network security; Quality of service; User interfaces; Virtual machine; Voltage scaling; Cloud computing environments; Data centres; DVFS; Dynamic voltage frequency scaling; Energy-Efficient Scheduling; Low energy consumption; Reduce energy consumption; Task-scheduling algorithms; Green computing…”
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  7. 7
    A GENETIC ALGORITHM APPROACH TO THE SELECTION OF CLOUD COMPUTING SERVICES

    A GENETIC ALGORITHM APPROACH TO THE SELECTION OF CLOUD COMPUTING SERVICES by Samurol @ Mohd Faisal, Narissa Sophea

    Published 2019
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    Final Year Project
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  8. 8
    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework

    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework by Asaad Aref, Ibrahim

    Published 2004
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  9. 9
    Proposed algorithm for scheduling in computational grid using backfilling and optimization techniques

    Proposed algorithm for scheduling in computational grid using backfilling and optimization techniques by Dakkak, Omar, Awang Nor, Shahrudin, Che Mohamed Arif, Ahmad Suki

    Published 2016
    “…To allocate the suitable resources for the incoming jobs, a scheduling algorithm has to manage this process.In this paper, we provide a critical review the recent mechanisms in “grid computing” environment.In addition, we propose a new scheduling algorithm to minimize the delay for the end user, Gap Filling policy will be applied to improve the performance of the priority algorithm.Then, an optimization algorithm will perform in order to further enhance the initial result for that obtained from backfilling mechanism.The main aim of the proposed scheduling mechanism is to improve the QoS for the end user in a real grid computing environment.…”
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  10. 10
    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
    “…Cloud computing refers to the delivery of computing services over the internet. …”
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    Academic Exercise
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  11. 11
    Robust scheduling algorithm for guaranteed bit rate services

    Robust scheduling algorithm for guaranteed bit rate services by Mohd. Ramli, Huda Adibah, Sandrasegaran, Kumbesan

    Published 2013
    “…Computer simulations have demonstrated that the proposed algorithm has 22.7% system capacity improvement over a well-known algorithm. …”
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  12. 12
    Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review

    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 address these issues, a substantial amount of work has been done to determine optimal methods to improve QoS using task scheduling algorithms. This review classifies the scheduling algorithms according to their QoS impact on both users and fog service providers (FSPs). …”
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  13. 13
    Location based services of nearest petrol station using asymmetric key algorithm / Muhammad Awwab Mohd Amdan

    Location based services of nearest petrol station using asymmetric key algorithm / Muhammad Awwab Mohd Amdan by Mohd Amdan, Muhammad Awwab

    Published 2014
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  14. 14
    Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony

    Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony by Mohd Izuddin Sipluk

    Published 2022
    “…This agreement is more than the user’s expectations about the providers’ service quality. …”
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    Academic Exercise
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  15. 15
    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
    “…Cloud computing provides computing as a service form, due to this more andmore users migrated into the cloud instead of maintaining own physical infrastructure. …”
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  16. 16
    Last throughput and quality-of-service aware (LTQA) scheduling algorithm in long term evolution (LTE) femtocell network / Muhammad Naqiuddin Sahrani

    Last throughput and quality-of-service aware (LTQA) scheduling algorithm in long term evolution (LTE) femtocell network / Muhammad Naqiuddin Sahrani by Sahrani, Muhammad Naqiuddin

    Published 2022
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  17. 17
    Explaining recreationist responsible behaviour : a case of scuba diving / Ong Tah Fat

    Explaining recreationist responsible behaviour : a case of scuba diving / Ong Tah Fat by Ong, Tah Fat

    Published 2012
    “…The merging of virtualization, utility computing and distributed computing with Service Oriented Architecture (SOA) has provided greater flexibility and ushered in a new paradigm of on-demand services. …”
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  18. 18
    Optimized load balancing for efficient resource provisioning in the cloud

    Optimized load balancing for efficient resource provisioning in the cloud by Naha, Ranesh Kumar, Othman, Mohamed

    Published 2014
    “…Cloud service providers manage a large number of user requests to provide services according to user demands. …”
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    Conference or Workshop Item
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  19. 19
    Evaluation of cloud brokering algorithms in cloud based data center

    Evaluation of cloud brokering algorithms in cloud based data center by Naha, Ranesh Kumar, Othman, Mohamed, Akhter, Nasrin

    Published 2015
    “…Over the last couple of years, we have witnessed an increasing demand for cloud computing, which lead to the increase of both cloud users, and cloud service providers as well. …”
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  20. 20
    Pairwise testing tools based on hill climbing algorithm (PTCA)

    Pairwise testing tools based on hill climbing algorithm (PTCA) by Lim, Seng Kee

    Published 2014
    “…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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    Undergraduates Project Papers
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