12 Result(s)
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Article
Enhancing virtual machine placement efficiency in cloud data centers: a hybrid approach using multi-objective reinforcement learning and clustering strategies
Deploying virtual machines poses a significant challenge for cloud data centers, requiring careful consideration of various objectives such as minimizing energy consumption, resource wastage, ensuring load bal...
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Article
Task scheduling in edge-fog-cloud architecture: a multi-objective load balancing approach using reinforcement learning algorithm
The rapid development of internet of things (IoT) gadgets and the increase in the rate of sending requests from these devices to cloud data centers resulted in congestion and consequently service provisioning ...
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Article
New comprehensive model based on virtual clusters and absorbing Markov chains for energy-efficient virtual machine management in cloud computing
Utilizing from energy-aware solutions along with maintaining service-level agreements is one of the most important research issues in cloud computing. In the proposed model, monitoring the status of resources ...
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A multi-objective load balancing algorithm for virtual machine placement in cloud data centers based on machine learning
Cloud computing provides utility computing in which clients pay the cost according to their demands and service use. There are some challenges to this technology. One of these issues in data centers is virtual...
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Article
An energy-efficient data gathering scheme in underwater wireless sensor networks using a mobile sink
Distribution of nodes in different depths leads unbalanced energy consumption in underwater wireless sensor networks. This issue is one of the most important challenges in routing protocols based on depth beca...
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Article
Enhanced time-aware QoS prediction in multi-cloud: a hybrid k-medoids and lazy learning approach (QoPC)
Cloud service providers should be able to predict the future states of their infrastructure in order to avoid any violation of Service Level Agreement. This becomes more complex when vendors have to deal with ...
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Article
A stochastic process-based server consolidation approach for dynamic workloads in cloud data centers
With the development of information technology, there is a need for computational works everywhere and every time. Thus, people should be able to carry out their heavy computations without having the burden of...
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Article
An efficient energy-aware method for virtual machine placement in cloud data centers using the cultural algorithm
Excessive consumption of energy in cloud data centers whose number is increasing day by day has led to substantial problems. Hence, offering efficient schemes for virtual machine (VM) placement to decrease ene...
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Article
Correction to: A reliable energy-aware approach for dynamic virtual machine consolidation in cloud data centers
The spelling of Monireh H. Sayadnavard’s family name was incorrect.
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Article
A reliable energy-aware approach for dynamic virtual machine consolidation in cloud data centers
To achieve energy efficiency in data centers, dynamic virtual machine (VM) consolidation as a key technique has become increasingly important nowadays due to the significant amounts of power needed to operate...
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Article
A new surrogate placement algorithm for cloud-based content delivery networks
Cloud-based content delivery networks (CCDNs) have been developed as the next generation of content delivery networks (CDNs). In CCDNs, the cloud contributes to the cost-effective, pay-as-you-go model, and vir...
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Article
Energy-aware framework with Markov chain-based parallel simulated annealing algorithm for dynamic management of virtual machines in cloud data centers
Significant savings in the energy consumption, without sacrificing service level agreement (SLA), are an excellent economic incentive for cloud providers. By applying efficient virtual Machine placement and co...
