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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…After that we use to build securing cloud data system (SCDS) for key exposure using the AES algorithm for encrypting and decrypting our website cloud data and files. …”
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Thesis -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Then canonical Polyadic decomposition-based attribute reduction is applied to the offload-able task to reduce the data size. Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…Such methodology can be achieved by java programming language for mobile clients J2ME, and by using a second generation mobile phones. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We used a Drebin data sample, which is a collection of 5,560 applications, as well as clean data sample containing 1,846 applications. …”
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Hybrid cryptography algorithm to improve security cloud storage
Published 2017“…ECC, AES, and RSA algorithms will be used to encrypt the files to enhance security data on the cloud storage. …”
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Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing
Published 2018“…Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm.…”
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Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing
Published 2015“…Proposed Cost Aware algorithm minimizes approximately 5.5% cost compared with closest data center algorithm. …”
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…The proposed method is evaluated using CloudSim and big data applications are used as sample of applications. …”
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Data in transit validation for cloud computing using cloud-based algorithm detection of injected objects
Published 2018“…Fresh algorithms’ for cloud data protection do exist however, they are still prone to attack especially in real-time data transmissions due to employed mechanism. …”
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MotionSure: a cloud-based algorithm for detection of injected object in data in motion
Published 2017“…Although there are few algorithms for data protection in the Cloud, However, such algorithms are still prone to attack, especially in real-time data movement due to the mechanism employed. …”
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Proceeding Paper -
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Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds
Published 2018“…Finally, we expected the scheduling algorithms PDC and DCCP to be improve the Cloud resource usage high efficiency in the IaaS Cloud with efficient scheduling for scientific workflow.…”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025“…The use of evaluators in the PECSCO mechanism to pre-assess data prior to synchronization with cloud storage has been shown to substantially decrease cloud expenses. …”
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Development of heuristic task scheduling algorithm in cloud computing
Published 2016“…As the immense growth of data have affected many organizations, there have been a need to adopt the cloud resources for processing big data applications which could cost highly by using traditional storage. …”
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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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Tag clouds algorithm with the inclusion of personality traits
Published 2015“…Tag clouds have emerged as the latest technique in information visualization using text analysis methods in a variety of situations to interpret unstructured data types. …”
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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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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…The cloud paradigm has arisen due to a rapid growth in applications and data sizes. …”
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Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA)
Published 2022“…Task scheduling and resource allocation are essential aspects of cloud computing. This research proposes task scheduling in cloud computing using a hybrid genetic algorithm and naked mole rat algorithm to solve the task scheduling problem. …”
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