Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and Opportunities
The deployment of virtual machines (VMs) within the Infrastructure as a Service (IaaS) layer across public, private, or hybrid cloud infrastructures is prevalent in various organisational settings for hosting essential business services. However, achieving rapid elasticity, or autoscaling, and ensur...
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MDPI AG
2025-03-01
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| author | Thushantha Lakmal Betti Pillippuge Zaheer Khan Kamran Munir |
| author_facet | Thushantha Lakmal Betti Pillippuge Zaheer Khan Kamran Munir |
| author_sort | Thushantha Lakmal Betti Pillippuge |
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| description | The deployment of virtual machines (VMs) within the Infrastructure as a Service (IaaS) layer across public, private, or hybrid cloud infrastructures is prevalent in various organisational settings for hosting essential business services. However, achieving rapid elasticity, or autoscaling, and ensuring quality of service amidst fluctuating service demands and available computing resources present significant challenges. Unlike the Platform as a Service (PaaS) and Software as a Service (SaaS) layers, where cloud providers offer managed elasticity features, the VMs at the IaaS layer often lack such capabilities. This paper scrutinises the constraints surrounding the rapid elasticity of VMs within single and hybrid cloud environments at the IaaS layer. It provides a critical analysis of the existing research gaps, emphasising the necessity for the horizontal elasticity of VMs extended across hybrid clouds, coupled with predictive capabilities integrated into the elasticity mechanism. This paper’s focus is particularly beneficial in scenarios where workloads require VM provisioning from multiple clouds to eliminate vendor lock-in and enhance quality of service (QoS) assurances, especially in instances of platform failures. Through critical examination, several research challenges are identified, delineating the existing research gap and outlining future research directions. This paper contributes to the research challenges of VM elasticity in complex cloud environments and underscores the imperative for innovative solutions to address these challenges effectively. |
| format | Article |
| id | doaj-art-6efea37d7c4f49e88851f4a6fe774630 |
| institution | DOAJ |
| issn | 2673-8392 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-6efea37d7c4f49e88851f4a6fe7746302025-08-20T02:42:40ZengMDPI AGEncyclopedia2673-83922025-03-01513710.3390/encyclopedia5010037Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and OpportunitiesThushantha Lakmal Betti Pillippuge0Zaheer Khan1Kamran Munir2Computer Science Research Centre (CSRC), School of Computing and Creative Technologies, College of Arts, Technology and Environment, University of the West of England (UWE), Bristol BS16 1QY, UKComputer Science Research Centre (CSRC), School of Computing and Creative Technologies, College of Arts, Technology and Environment, University of the West of England (UWE), Bristol BS16 1QY, UKComputer Science Research Centre (CSRC), School of Computing and Creative Technologies, College of Arts, Technology and Environment, University of the West of England (UWE), Bristol BS16 1QY, UKThe deployment of virtual machines (VMs) within the Infrastructure as a Service (IaaS) layer across public, private, or hybrid cloud infrastructures is prevalent in various organisational settings for hosting essential business services. However, achieving rapid elasticity, or autoscaling, and ensuring quality of service amidst fluctuating service demands and available computing resources present significant challenges. Unlike the Platform as a Service (PaaS) and Software as a Service (SaaS) layers, where cloud providers offer managed elasticity features, the VMs at the IaaS layer often lack such capabilities. This paper scrutinises the constraints surrounding the rapid elasticity of VMs within single and hybrid cloud environments at the IaaS layer. It provides a critical analysis of the existing research gaps, emphasising the necessity for the horizontal elasticity of VMs extended across hybrid clouds, coupled with predictive capabilities integrated into the elasticity mechanism. This paper’s focus is particularly beneficial in scenarios where workloads require VM provisioning from multiple clouds to eliminate vendor lock-in and enhance quality of service (QoS) assurances, especially in instances of platform failures. Through critical examination, several research challenges are identified, delineating the existing research gap and outlining future research directions. This paper contributes to the research challenges of VM elasticity in complex cloud environments and underscores the imperative for innovative solutions to address these challenges effectively.https://www.mdpi.com/2673-8392/5/1/37hybrid cloudreactive autoscalingproactive autoscalingelasticityvirtual machine autoscalingautoscaling at IaaS layer |
| spellingShingle | Thushantha Lakmal Betti Pillippuge Zaheer Khan Kamran Munir Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and Opportunities Encyclopedia hybrid cloud reactive autoscaling proactive autoscaling elasticity virtual machine autoscaling autoscaling at IaaS layer |
| title | Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and Opportunities |
| title_full | Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and Opportunities |
| title_fullStr | Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and Opportunities |
| title_full_unstemmed | Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and Opportunities |
| title_short | Horizontal Autoscaling of Virtual Machines in Hybrid Cloud Infrastructures: Current Status, Challenges, and Opportunities |
| title_sort | horizontal autoscaling of virtual machines in hybrid cloud infrastructures current status challenges and opportunities |
| topic | hybrid cloud reactive autoscaling proactive autoscaling elasticity virtual machine autoscaling autoscaling at IaaS layer |
| url | https://www.mdpi.com/2673-8392/5/1/37 |
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