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Impatient task mapping in elastic cloud using genetic algorithm
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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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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Genetic algorithm was widely used because of its accuracy and simplicity. …”
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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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Designing a new E-Commerce authentication framework for a cloud-based environment
Published 2024Conference Paper -
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Efficient DNS based Load Balancing for Bursty Web Application Traffic
Published 2012“…The proposed algorithm is evaluated via computer simulation and modeling where its performance is verified against the few selected algorithms of the same nature. …”
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Genetic algorithm optimized receiver-oriented packet clustering in multi-buffer network card
Published 2016“…Its optimization factors revolve around the number of buffers, the number of applications that need access to the clusters, capacity of each buffer, transmission size, packet size, and number of packets. …”
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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 -
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Secure lightweight client for cloud-based E-Health Model
Published 2023“…The implementation of the four features is described as follows: Firstly, the SCBEH model, which optimized a MONA benchmark model and absorbed all its security technologies, has four aspects to be considered: 1) the use of symmetric and asymmetric hybrid encryption technique (KEM-DEM), in which the latest elliptic curve cryptography algorithm (ECC) of asymmetric encryption is used; 2) the applications of group key distribution and group signature technologies are achieved; 3) the revocation and tracking of illegal group members are reimplemented; 4) the computational burden of client is alleviated. …”
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Congestion control in vehicular adhoc network: A survey
Published 2019“…Reliable congestion control (CC) are necessary to provide effectient dissemination of time-critical safety messages in VANET applications; safety and non-safety applications. In this paper, we present the overview on VANET, its application and challenges. …”
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Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm
Published 2020“…This system enables the logistic company to arrange its route to deliver based on the number of trucks selected by the user. …”
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Final Year Project / Dissertation / Thesis -
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Evaluation of cloud 3D printing services oriented toward the product life cycle based on a triangular fuzzy number complementary judgment matrix
Published 2024“…This methodological innovation underscores its practical feasibility and effectiveness in real-world applications. …”
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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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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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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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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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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…Although many scheduling algorithms have been implemented for cloud computing, it has been realized that most of the applications nowadays require different objectives that simple scheduling algorithms fail to achieve. …”
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