Search Results - (( data distribution process algorithm ) OR ( new evaluation model algorithm ))

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  1. 1

    Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah by Abdullah, Mohd Azrul

    Published 2015
    “…Empirical cumulative distribution function (CDF) model is presented in evaluating the real traffic distribution. …”
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    Article
  2. 2

    Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah by Abdullah, Mohd Azrul

    Published 2015
    “…Empirical cumulative distribution function (CDF) model is presented in evaluating the real traffic distribution. …”
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    Thesis
  3. 3

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…To achieve an optimum waiting and response time this thesis has proposed a new approach utilizing the aforementioned modelling, optimizing and partitioning algorithms. …”
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    Thesis
  4. 4

    Predicting the popularity of tweets using the theory of point processes. by Tan, Wai Hong

    Published 2019
    “…The intensity process of the model is interpretable as a cluster Poisson process, which implies that the model can be simulated using the cascading algorithm similar to that used for the efficient simulation of Hawkes processes, and the prediction can be done properly by exploiting the probabilistic properties of the model. …”
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    UMK Etheses
  5. 5

    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System by Hassan, Mahamat. I, Azween, Abdullah

    Published 2010
    “…Ontologies are used as a data model for service description, whereas the services are to accomplish the description process. …”
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    Thesis
  6. 6

    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System by HASSAN, MAHAMAT ISSA

    Published 2010
    “…Ontologies are used as a data model for service description, whereas the services are to accomplish the description process. …”
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    Thesis
  7. 7

    Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model by Jasim, Ahmed Abdulhadi, Idris, Mohd Yamani Idna, Azzuhri, Saaidal Razalli, Issa, Noor Riyadh, Noor, Noorzaily Mohamed, Kakarla, Jagadeesh, Amiri, Iraj Sadegh

    Published 2019
    “…Furthermore, the attacks are detected and prevented by utilizing secure node authentication, data fragmentation algorithms, fully homomorphic encryption, and access control model. …”
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    Article
  8. 8

    Robust Kernel Density Function Estimation by Dadkhah, Kourosh

    Published 2010
    “…A modification is made to the classical location and scale estimator by incorporating the robust weight and RKDE. To evaluate the efficiency of the proposed method, comprehensive contaminated models are designed and simulated. …”
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    Thesis
  9. 9
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    DC-based PV-powered home energy system by Sabry, Ahmad H.

    Published 2017
    “…For more accurate mathematical representation for the empirical outcome power data, a mathematical model based on Bode Equations and Vector Fitting algorithm has been proposed to govern the load power profile of the proposed system. …”
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    Thesis
  11. 11

    A new scheduling technique to improve data management in cloud computing by Khan, Nawsher

    Published 2013
    “…Existing models presents the whole scheduling architecture for data transferring process, by taking in two slots. …”
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    Thesis
  12. 12

    Evaluation of controlled cooling for seeded batch crystallization incorporating dissolution by Siti Zubaidah, Adnan, Suriyati, Saleh, Noor Asma Fazli, Abdul Samad

    Published 2019
    “…The mathematical model for potassium nitrate crystallization is developed and simulated in MATLAB software where it is validated against experimental data. …”
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    Conference or Workshop Item
  13. 13

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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    Thesis
  14. 14

    Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad by Saima Gulzar, Ahmad

    Published 2017
    “…To avoid such overheads many techniques have been used, however in this thesis stream-based data processing model is used in which data is processed in the form of continuous instances of data items. …”
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    Thesis
  15. 15

    Multistep forecasting for highly volatile data using new algorithm of Box-Jenkins and GARCH by Siti Roslindar, Yaziz, Roslinazairimah, Zakaria

    Published 2018
    “…The study of the multistep ahead forecast is significant for practical application purposes using the proposed statistical model. This study is proposing a new algorithm of Box-Jenkins and GARCH (or BJ-G) in evaluating the multistep forecasting performance of the BJ-G model for highly volatile time series data. …”
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    Conference or Workshop Item
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    Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop by Ayop, Nor Azura

    Published 2016
    “…By using MATLAB software, the Open Distribution Fitting application is fitted to the collected data to identifying the best distribution and the results presents GPD shows the highest value for best fitted traffic model. …”
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    Thesis
  19. 19

    Binary Vote Assignment on Cloud Quorum Algorithm for Fragmented MyGRANTS Database Replication by Noraziah, Ahmad, Ainul Azila, Che Fauzi, Herawan, Tutut, Zailani, Abdullah

    Published 2015
    “…Distributed database replication is a very promising and challenging process that involves multi independent database servers in distributed environment. …”
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    Article
  20. 20

    Dynamic replication aware load blanced scheduling in distributed environment / Said Bakhshad by Said Bakhshad, Bakhshad

    Published 2018
    “…Grid computing is an effective distributed and adaptable processing network that manages a huge number of data applications. …”
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    Thesis