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Elasticity in cloud computing: state of the art and research challenges
Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …
developments. This article reviews both classical and recent elasticity solutions and …
A review of auto-scaling techniques for elastic applications in cloud environments
Cloud computing environments allow customers to dynamically scale their applications. The
key problem is how to lease the right amount of resources, on a pay-as-you-go basis …
key problem is how to lease the right amount of resources, on a pay-as-you-go basis …
Resource provisioning using workload clustering in cloud computing environment: a hybrid approach
In recent years, cloud computing paradigm has emerged as an internet-based technology to
realize the utility model of computing for serving compute-intensive applications. In the cloud …
realize the utility model of computing for serving compute-intensive applications. In the cloud …
Performance anomaly detection and bottleneck identification
In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …
detect undesirable performance behaviours, identify potential root causes, and take …
Research on auto-scaling of web applications in cloud: survey, trends and future directions
Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
applications on cloud data centers. The primary area of attraction is elasticity, which allows …
A comparison of reinforcement learning techniques for fuzzy cloud auto-scaling
A goal of cloud service management is to design self-adaptable auto-scaler to react to
workload fluctuations and changing the resources assigned. The key problem is how and …
workload fluctuations and changing the resources assigned. The key problem is how and …
Efficient resource provisioning for elastic cloud services based on machine learning techniques
Automated resource provisioning techniques enable the implementation of elastic services,
by adapting the available resources to the service demand. This is essential for reducing …
by adapting the available resources to the service demand. This is essential for reducing …
Autonomic task scheduling algorithm for dynamic workloads through a load balancing technique for the cloud-computing environment
F Ebadifard, SM Babamir - Cluster computing, 2021 - Springer
Applying the load balancing technique to allocate requests that dynamically enter the cloud
environment is contributive in maintaining the system stability, reducing the response time …
environment is contributive in maintaining the system stability, reducing the response time …
[PDF][PDF] Auto-scaling techniques for elastic applications in cloud environments
Cloud computing is an emerging technology that is becoming more and more popular. This
is due primarily to its elastic nature: users can acquire and release resources on-demand …
is due primarily to its elastic nature: users can acquire and release resources on-demand …
Towards an autonomic auto-scaling prediction system for cloud resource provisioning
This paper investigates the accuracy of predictive auto-scaling systems in the Infrastructure
as a Service (IaaS) layer of cloud computing. The hypothesis in this research is that …
as a Service (IaaS) layer of cloud computing. The hypothesis in this research is that …