Search Results - (( developing consumer cloud algorithm ) OR ( java application during algorithm ))
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An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Published 2018“…This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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Minimum completion time for power-aware scheduling in cloud computing
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Proceeding Paper -
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Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…In this paper, several novel algorithms are proposed for the dynamic consolidation of VMs in cloud data centers. …”
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Honey bee based trust management system for cloud computing
Published 2011“…In this paper, the authors propose the concept that honey bee algorithm which has been developed to solve complex optimization problems can be successfully used to address this issue.The authors have taken a closer look at the optimization problems that had been solved using the honey bee algorithm and the similarity between these problems and the cloud computing environment.Thus concluding that the honey bee algorithm could be successfully used to solve the trust management issue in cloud computing.…”
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…This thesis demonstrates that the dynamic consolidations of virtualmachines in cloud data centers by proposing energy efficient algorithms and policies. …”
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Investigating the schedulability of periodic real-time tasks in virtualized cloud environment
Published 2019“…In this paper, we developed a computing architecture and algorithms for supporting soft real-time task scheduling in a cloud computing environment through the dynamic provisioning of virtual machines. …”
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Cloudids: Cloud Intrusion Detection Model Inspired By Dendritic Cell Mechanism
Published 2024“…In addition, maintenance of traditional IDS in Cloud Computing system requires expertise and consumes more time where not each Cloud user has. …”
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…Moreover, this prototype could be used as the basis for developing more advanced remote monitoring in term of performance to access and interact with mobile cloud, which is the future of mobile technology.…”
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Mapping of oil palm land cover using integration of cloud computing, machine learning and big data
Published 2019“…Obtaining information of oil palm plantation over a large area will be very intensive, costly and time consuming. Thus, this study had utilised cloud-based platforms, namely Google Earth Engine (GEE) and Remote Ecosystem Monitoring Assessment Pipeline (REMAP) to map the oil palm areas. …”
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IoT-BSEM internet of things-based smart energy meter for domestic house
Published 2023“…The microcontroller receives the measured data from the sensor and calculated using developed algorithm, then data sent to the IoT cloud. …”
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A new scheduling technique to improve data management in cloud computing
Published 2013“…Cloud Computing is an extremely successful service oriented computing paradigm and has revolutionized, modernized, and well-developed infrastructure of computing. …”
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SUDOKU HELPER
Published 2015“…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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Final Year Project -
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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An approach to improve detecting and removing cross- site scripting vulnerabilities in web applications
Published 2015“…This research work was limited to Java based web applications. In future research, the method can be extended to include other programming languages as well as other similar web application security vulnerabilities.…”
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The locations of landslides were detected accurately by employing two Machine learning classifiers, namely, SVM and RF, decision rule and hierarchal rules sets were developed by applying decision tree (DT) algorithm to provide improved landslide inventory. …”
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