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Resource provisioning; containerized applications

delete2021-05-13
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PRE
AI
M
Mahendra Pratap Yadav *
N
Nisha Pal
D
Dharmendra Kumar Yadav
DOI:10.1007/s10586-021-03293-5delete
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Abstract

Abstract

En 中文
Elasticity is an important feature of cloud computing, which allocates/de-allocates adequate computing resources automatically and provisions and de-provisions computing resources timely when the workload fluctuates. It can help in better resource utilization. Elasticity can address the challenges of limited physical resources such as cost, computing power, storage capacity, etc. In cloud computing, the cloud providers achieve elasticity through virtualization techniques such as virtual machines (VMs) or containers. Elasticity can help to scale-up/down the various computing resources of a running system when the workload increases or decreases over the machine. In this paper, we propose a hybrid model that uses a container-based virtualization techniques allocated; various computing resources of a running system (container). It uses a multi-criteria decision making procedure; the allocation of resources. This model uses a reactive approach; scaling up and scaling down the containers' resources as per the requirements of the application. The proposed approach provides better resource utilization and minimizes subscription costs from both the provider and consumer perspectives. The experimental results show that the hybrid model dynamically allocates resources to applications instantly and maintains higher resource utilization than horizontal elasticity, vertical elasticity, and Docker.
Keywords:
Cloud Computing
Elasticity
Auto-scaling
Docker Container
MAPE
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Cluster Computing-The Journal of Networks Software Tools and Applications
IF:
4.1
Papers:
5.1K
Citations:
7.5K

Organization

N
national institute of technology (nit system)
Scholars:
4.0W
Papers: 3.7W
Citations: 31
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