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Auto-Scaling Techniques in Cloud Computing: Issues and Research Directions [PDF]

open access: yesSensors
In the dynamic world of cloud computing, auto-scaling stands as a beacon of efficiency, dynamically aligning resources with fluctuating demands. This paper presents a comprehensive review of auto-scaling techniques, highlighting significant advancements ...
Saleha Alharthi   +3 more
doaj   +6 more sources

Performance-Cost Trade-Off in Auto-Scaling Mechanisms for Cloud Computing [PDF]

open access: yesSensors, 2022
Cloud computing has been widely adopted over the years by practitioners and companies with a variety of requirements. With a strong economic appeal, cloud computing makes possible the idea of computing as a utility, in which computing resources can be ...
Iure Fé   +8 more
doaj   +4 more sources

Predictive auto-scaling with OpenStack Monasca [PDF]

open access: yesProceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing, 2021
Accepted at 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC'21)
Lanciano G.   +4 more
core   +11 more sources

Framework for Efficient Auto-Scaling of Virtual Network Functions in a Cloud Environment [PDF]

open access: yesSensors, 2022
Network Function Virtualization (NFV) offers an alternate method to design, deploy and manage network services. The NFV decouples network functions from the dedicated hardware and moves them to the virtual servers so that they can run in the software ...
Saima Zafar   +3 more
doaj   +2 more sources

An SDN-Based Solution for Horizontal Auto-Scaling and Load Balancing of Transparent VNF Clusters [PDF]

open access: yesSensors, 2021
This paper studies the problem of the dynamic scaling and load balancing of transparent virtualized network functions (VNFs). It analyzes different particularities of this problem, such as loop avoidance when performing scaling-out actions, and ...
Alejandro Llorens-Carrodeguas   +4 more
doaj   +2 more sources

On the Analysis of Inter-Relationship between Auto-Scaling Policy and QoS of FaaS Workloads [PDF]

open access: yesSensors
A recent development in cloud computing has introduced serverless technology, enabling the convenient and flexible management of cloud-native applications.
Sara Hong   +3 more
doaj   +2 more sources

Auto-Scaling of Geo-Based Image Processing in an OpenStack Cloud Computing Environment

open access: yesRemote Sensing, 2016
Cloud computing is a base platform for the distribution of large volumes of data and high-performance image processing on the Web. Despite wide applications in Web-based services and their many benefits, geo-spatial applications based on cloud computing ...
Sanggoo Kang, Kiwon Lee
doaj   +3 more sources

A review on fixed threshold based and adaptive threshold based auto-scaling techniques in cloud computing [PDF]

open access: yesMATEC Web of Conferences
Cloud computing has evolved as an effective technology in the past few years. It is playing an important role in information technology. The main characteristics and challenges of cloud computing are 100% availability and Scalability.
Ali Khan Asif   +2 more
doaj   +3 more sources

Towards Yo-Yo attack mitigation in cloud auto-scaling mechanism

open access: yesDigital Communications and Networks, 2020
Cloud platforms could automatically scale underlying network resources up and down in response to changes in the traffic load. Such an auto-scaling mechanism can largely enhance the elasticity and scalability of cloud platforms. However, it may introduce
Xiaoqiong Xu   +5 more
doaj   +3 more sources

Prediction-based auto-scaling of scientific workflows [PDF]

open access: yesProceedings of the 9th International Workshop on Middleware for Grids, Clouds and e-Science, 2011
In this paper we propose a novel method for auto-scaling data-centric workflow tasks. Scaling is achieved through a prediction mechanism where the input data load on each task within a workflow is used to compute the estimated task execution time. Through load prediction, the framework can take informed decisions on scaling multiple workflow tasks ...
Reginald Cushing   +3 more
core   +6 more sources

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