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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04507-z
Abstract: Containers are shaping the new era of cloud applications due to their key benefits such as lightweight, very quick to launch, consuming minimum resources to run an application which reduces cost, and can be easily…
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Keywords:
auto;
machine learning;
workload;
auto scaling ... See more keywords
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Published in 2019 at "Cluster Computing"
DOI: 10.1007/s10586-019-02939-9
Abstract: Distributed stream processing system (DSPS) has proven to be an effective way to process and analyze large-scale data streams in real-time fashions. The reliability problem of DSPS is becoming a popular topic in recent years.…
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Keywords:
distributed stream;
system;
processing;
stream processing ... See more keywords
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Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00220-x
Abstract: Optimal allocation of resources in Intercloud computing is NP-complete program. Constraints are many and configuration of each cloud varies from each other. The mapping of the tasks to available virtual machines is challenging. In real…
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Keywords:
categorization;
categorization intercloud;
users auto;
intercloud users ... See more keywords
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Published in 2021 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-021-05864-5
Abstract: Efficient resource provisioning is one of the important research challenges in cloud computing. Cloud providers use auto-scaling techniques for resource provisioning to manage the fluctuating workload as well as SLA violations. Auto-scaling is necessary for…
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Keywords:
resource provisioning;
resource;
computing resources;
provisioning machine ... See more keywords
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Published in 2020 at "Digital Communications and Networks"
DOI: 10.1016/j.dcan.2019.07.002
Abstract: Abstract Cloud platforms could automatically scale underlying network resources up and down in response to changes in the traffic load. Such auto-scaling mechanism can largely enhance the elasticity and the scalability of cloud platforms. However,…
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Keywords:
attack;
auto;
scaling mechanism;
auto scaling ... See more keywords
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Published in 2022 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2019.2944364
Abstract: The performance of the same type of cloud resources, such as virtual machines (VMs), varies over time mainly due to hardware heterogeneity, resource contention among co-located VMs, and virtualization overhead. The performance variation can be…
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Keywords:
auto scaling;
scaling multi;
multi tier;
performance ... See more keywords
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Published in 2020 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2020.2995900
Abstract: Network Function Virtualization (NFV) enables Network Operators (NOs) to efficiently respond to the increasing dynamicity of network services. Virtual Network Functions (VNFs) running on commercial off-the-shelf servers are easy to deploy, update, monitor, and manage.…
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Keywords:
negotiation game;
auto;
auto scaling;
network ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3121681
Abstract: In this article, an event-triggered control (ETC) law is proposed for auto-scaling of Web servers hosted on a private cloud. The Web server systems are modeled as a discrete-time linear time-invariant (LTI) system where the…
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Keywords:
auto scaling;
event triggered;
event;
triggered control ... See more keywords