Search Results - (( data processing tasks algorithm ) OR ( java application clustering algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Thesis -
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Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System
Published 2023“…Therefore, offloading a massive amount of data from mobile devices to the fog or cloud introduces another problem of delay in choosing the optimal resources for processing the tasks resulting in incurring delay by the resource allocation algorithms. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
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Final Year Project -
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Development of heuristic task scheduling algorithm in cloud computing
Published 2016“…It can be said that heuristics algorithms become the undeniable candidate for task scheduling big data analytics. …”
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Proceeding Paper -
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Workflow optimization in distributed computing environment for stream-based data processing model / 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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Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre
Published 2023“…We identify it as a required processing capacity for executing the tasks. The experiment result shows that our algorithm has outperformed and efficiently minimized the energy consumption in the Cloud data centre as compared with existing energy‐saving techniques. …”
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Multi-objective algorithms for effective resource management in Edge-Fog-Cloud computing
Published 2023“…Edge-Fog-Cloud computing is a platform that facilitates the processing of loT tasks that generate a massive amount of data from edge computing. …”
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Thesis -
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Multi-objective grey wolf optimizer algorithm for task scheduling in cloud-fog computing
Published 2023“…The revolution of IoT and its capabilities to serve various fields led to generating a large amount of data for processing. Tasks that require an instant response, especially with sensitive delay tasks send to the fog node due to the close distance, and the complex tasks transfer to the cloud data center for its huge computation and storage. …”
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Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications
Published 2025“…By using a task scheduling and offloading method, the FOCS algorithm arranges data according to size and sends it to the appropriate fog nodes. …”
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Enhanced utility accrual scheduling algorithms for adaptive real time system.
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An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
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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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Conference or Workshop Item -
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RELMARK: An innovative algorithm for preprocessing of transactional business data
Published 2015“…Association rule mining is a popular research topic due to many useful applications.The initial task in producing association rule is to ensure that only suitable data formats are fed into the mining process.Providing a correct data format for association rule mining is an essential and crucial task as wrong data will yield wrong results and interpretations.In this research work, an efficient algorithm for converting relational data format into transactional data format is presented.This transactional data format suited the SAS Enterprise Miner Software for association rule mining technique. …”
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A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis