Search Results - (( its applications a algorithm ) OR ( _ application ((cloud algorithm) OR (based 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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A Penalty-Based Genetic Algorithm For The Composite Saas Placement Problem In The Cloud
Published 2010“…This paper proposes a penalty-based genetic algorithm (GA) to the composite SaaS placement problem in the Cloud. …”
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Conference or Workshop Item -
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Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment
Published 2014“…The main disadvantage of GA algorithm is time consuming problem. In this study, a novel Simulated Annealing (SA) algorithm is proposed for scheduling task in cloud environment. …”
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Article -
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…Task scheduling and resource allocation are essential aspects of cloud computing. This Study proposes task scheduling in cloud computing using a hybrid genetic algorithm, and bald eagle search proposed to solve the task scheduling problem. …”
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Academic Exercise -
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Impatient job scheduling under cloud computing
Published 2012“…At the same time, these agencies also face IT problems because of the huge growth of applications, data and solution sizes. Many experts proposed that cloud computing is a solution to these problems such that each agency can execute its tasks via the cloud and expand their requirements based on the situation. …”
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Thesis -
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Implementing Location-Based Cryptography on Mobile Application Design to Secure Data in Cloud Storage
Published 2024journal::journal article -
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Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud
Published 2024journal::journal article -
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources such as, networks, servers, storage, applications,and services. …”
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Thesis -
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…Hence, these gives a superior middle way between the execution of cost and time which makes it be dependable for its implementation in a real cloud computing environment. …”
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A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution
Published 2023“…These limitations lead to the poor performance of cloud-based mobile applications and other cloud services. …”
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Thesis -
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Then they are assigned to the machines according to the assignment algorithm for job combinations, which is a special integer partition algorithm. …”
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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“…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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Article -
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Fog-cloud scheduling simulator for reinforcement learning algorithms
Published 2023“…Fog computing is a popular choice for Internet of Things (IoT) applications, such as electricity, health, transportation, smart cities, security, and more. …”
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Article -
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Enhancing user authentication for cloud web-based application / Detar Beqo
Published 2018“…We have developed a cloud-based application that adapts the enhanced authentication method, and its security measurement were evaluated using IBM Application Security on Cloud tool. …”
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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 -
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