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Genetic algorithm optimized network in cloud data centre by Nurika, O., Hassan, M.F., Zakaria, N., Jung, L.T.

“…In this paper, we look into an area where a cloud network can be optimized. Past studies showed that the unoptimized network device is a main factor behind interruptions in a cloud network. …”
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Network tool for preventing DDOS attacks on cloud computing by Yo, Kee Seng

“…Wireless broadband network offers dynamic feature in cloud computing services. …”
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An optimal tasks scheduling algorithm based on QoS in cloud computing network by Alhakimi, Mohammed Ameen Mohammed Abdo

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Performance evaluation of task scheduling using hybrid meta-heuristic in heterogeneous cloud environment by Mohammed, Faten Ameen Saif, Derahman, Mohd Noor, Alwan, Ali Amer, Latip, Rohaya

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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

“…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. …”

Efficient Multi-Cloud Storage Using Online Dynamic Replication and Placement Algorithms for Online Social Networks by Ali Y. Aldailamy, Abdullah Muhammed, Nor Asilah Wati Abdul Hamid, Rohaya Lati, Waidah Ismail

Efficient multi-cloud storage using online dynamic replication and placement algorithms for online social networks by Aldailamy, Ali Y., Muhammed, Abdullah, Abdul Hamid, Nor Asilah Wati, Latip, Rohaya, Ismail, Waidah

“…The DTS algorithm establishes the replication and placement of objects using deterministic time slots, while the RTS algorithm is based on randomized time slots. …”
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Performance evaluation of task scheduling using hybrid meta-heuristic in heterogeneous cloud environment by A. Saif, Faten, Derahman, Mohd Noor, Alwan, Ali Amer, Latip, Rohaya

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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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Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds by Alqaisy, Sarah Abdulrahman Shukur

“…Typically, the commercial Cloud services charge on the basis of the number of hours the resources (such as CPU, network bandwidth and amount of storage) are used. …”
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Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud by Ali Y. Aldailamy, Abdullah Muhammed, Rohaya Latip, Nor Asilah Wati Abdul Hamid, Waidah Ismail

Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Performance evaluation of task scheduling using hybrid meta-heuristic in the heterogeneous cloud environment by Mohammed, Faten Ameen Saif

“…The results will be compared with a three heuristic algorithms. The performance evaluation in this work is a statically analysis that used in an experimental comparison. …”
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Energy and performance efficient resource allocation for cloud-based data centers by Akhter, Nasrin

“…It is also a technology revolution, offering flexible IT usage in a cost efficient and pay-per-use manner. 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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Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony by Mohd Izuddin Sipluk

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A power saver scheduling algorithm using DVFS and DNS techniques in cloud computing data centres by Atiewi S., Yussof S., Rusli M.E.B., Zalloum M.

Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

“…Cloud radio access network (CRAN) emerges as a promising candidate since the limited network resources can be virtualized and shared among distributed remote radio heads (RRHs). …”
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A krill herd behaviour inspired load balancing of tasks in cloud computing by Hasan, Raed Abdulkareem, Mohammed, Muamer N.

“…The aim of using the Krill LB as the load balancer is to increase the throughput of the network as much as possible. …”
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A comparative analysis of task scheduling algorithms of virtual machines in cloud environment by Atiewi S., Yussof S., Ezanee M.

“…Cloud computing offers an environment with low cost, ease of use and low power consumption by utilizing server virtualization in its offered services (e.g., Infrastructure as a Service). …”

Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing by Elrasheed Ismail, Sultan

“…The distributed Cloud Computing technology has been produced as the development of the computer network and distributed computing technology. …”
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