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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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A priority based job scheduling algorithm in cloud computing by Shamsollah, Ghanbari, Othman, Mohamed

“…Some intensive researches have been done in the area of job scheduling of cloud computing. In this paper we have proposed a new priority based job scheduling algorithm (PJSC) in cloud computing. …”
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Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing by Naha, Ranesh Kumar

“…The cloud computing transforms computing services into "as a service" form. …”
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Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing by Parmesivan, Yuganes, Hasan, Sazlinah, Muhammed, Abdullah

“…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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System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO) by Mohd Erwan Mazalan

“…In this project, Genetic Algorithms (GA) is combine Moth Flame Optimization (MFO) to improve the cloud computing environment. …”
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Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing by Oke, Omotayo Patrick

“…The goal of the Hybrid GA-PSO algorithm is to reduce the makespan and cost and balance the load of dependent tasks in cloud computing environments over the heterogonous resources. …”
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Data in transit validation for cloud computing using cloud-based algorithm detection of injected objects by Olanrewaju, Rashidah Funke, Islam, Thouhedul, Khalifa, Othman Omran, Fajingbesi, Fawwaz Eniola

“…The labelling header technique allows for a two-way data binding; DOM based communication between local and cloud computing that triggers automated acknowledgment immediately after file modification. …”
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A Focal load balancer based algorithm for task assignment in cloud environment by Mohammed, Mostafa Abdulghfoor, Hasan, Raed Abdulkareem, Ahmed, Munef Abdullah, Tapus, Nicolae, Shnan, Marwan Ali, Khaleel, M. K., Ali, Ahmed H.

“…In cloud computing environment, load balancing a vital aspect. …”
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Multi-objective algorithms for effective resource management in Edge-Fog-Cloud computing by Saif, Faten Ameen Mohammed

“…In comparison, the MFA algorithm reduces energy consumption in edge-fog computing and maximizes resource utilization in edge-cloud computing by an average of 23% and 86%, respectively. …”
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

“…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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Multi-criteria strategy for job scheduling and resource load balancing in cloud computing environment by Aminu Abdulkadir, Mahmoud, M. Zarina, ., Wan Nor Shuhadah, Wan Nik, Fadhilah, Ahmad

“…This research focuses on job scheduling and resource load balancing in cloud environment. We proposed an efficient algorithm based on multi-criteria strategy. …”
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Multi-criteria strategy for job scheduling and resource load balancing in cloud computing environment (Article) by Zarina, Mohamad, Wan Nor Shuhadah, Wan Nik, Fadhilah, Ahmad

“…This research focuses on job scheduling and resource load balancing in cloud environment. We proposed an efficient algorithm based on multi-criteria strategy. …”
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OTS: an optimal tasks scheduling algorithm based on QoS in cloud computing network by Alhakimi, Mohammed Ameen, Latip, Rohaya

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A Penalty-Based Genetic Algorithm For The Composite Saas Placement Problem In The Cloud by Mohd Yusoh, Zeratul Izzah, Tong, Maolin

“…This paper proposes a penalty-based genetic algorithm (GA) to the composite SaaS placement problem in the Cloud. …”
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Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements by Ramadhan, Mazen Farid Ebrahim

“…Cloud computing is a high-performance distributed computing platform that integrates large-scale services. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony by Mohd Izuddin Sipluk

“…The fundamental issue with cloud computing is task scheduling and decreasing system performance. …”
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Honey bee based trust management system for cloud computing by Firdhous, Mohamed, Ghazali, Osman, Hassan, Suhaidi, Harun, Nor Ziadah, Abas, Azizi

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Fuzzy logic-based algorithm resource scheduling for improving the reliability of cloud computing by Zavvar, Mohammad, Rezaei, Meysam, Garavand, Shole, Ramezani, Farhad

“…Accurate scheduling of system resources results in their optimal use as well as an increase in the reliability of cloud computing. This study designed a system based on fuzzy logic and followed by an introduction of an efficient and precise algorithm for scheduling resources for improving the reliability of cloud computing. …”
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An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms by Ullah, Arif

“…The proposed HBAC showed an improved accuracy rate in task distribution and reduced the makespan of VM in a cloud data center. Based on the ANOVA comparison test results, a 1.25 percent improvement on accuracy and 0.98 percent reduced makespan on task allocation system of VM in cloud computing is observed with the proposed HBAC algorithm.…”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

“…Cloud computing offers high computational resources at a reasonable pricelevel. …”
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