Search Results - (( _ applications cloud algorithm ) OR ( its application ((need algorithm) OR (new algorithm)) ))*
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Impatient task mapping in elastic cloud using genetic algorithm
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Article -
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Impatient job scheduling under cloud computing
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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Efficient DNS based Load Balancing for Bursty Web Application Traffic
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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Designing a new E-Commerce authentication framework for a cloud-based environment
Published 2024Conference Paper -
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Genetic algorithm optimized receiver-oriented packet clustering in multi-buffer network card
Published 2016“…In a network card, there is a packet clustering mechanism that if optimized, will increase the speed of packet reading/access at the application layer. This packet clustering optimization is an expansion of our previous base network card optimization in cloud network environment, using genetic algorithm. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…The result of the algorithm performance will be appeared in web application system. …”
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Academic Exercise -
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Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment
Published 2014“…The advent of cloud computing as a new model of service provisioning in distributed systems, encourages researchers to investigate its benefits and drawbacks in executing scientific applications such as workflows. …”
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A Penalty-Based Genetic Algorithm For The Composite Saas Placement Problem In The Cloud
Published 2010“…Cloud computing is a latest new computing paradigm where applications, data and IT services, are provided over the Internet. …”
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Conference or Workshop Item -
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…The genetic algorithm was widely used because of its accuracy and simplicity. …”
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Academic Exercise -
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A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution
Published 2023“…To address this issue, the main objective of this research is to improve the existing PR cloud schedulers by developing a new dynamic scheduling algorithm by manipulating the gaps in the cloud job schedule. …”
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Thesis -
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…The underlying concept of cloud computing isthe separation of applications from the operating systems and the hardware on which they run. …”
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Adaptive linux-based TCP congestion control algorithm for high-speed networks
Published 2017“…Fundamentally, TCP-based applications naturally need to deal with links of anydistance without the need of human reconfiguration. …”
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Thesis -
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Fault tolerance structures in Wireless Sensor Networks (WSNs): survey, classification, and future directions
Published 2022“…Thus, the respective underlying Fault Tolerance (FT) structure is a critical requirement that needs to be considered when designing any algorithm in WSNs. …”
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Automatic marking system for programming subject
Published 2023“…This project is a web application designed for lecturer that teaching programming subject to automatically mark programming algorithm exercise. …”
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Final Year Project / Dissertation / Thesis -
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IOT-based fertigation system / Mohamad Amir Furqan Darus
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
