Elastic Data Warehousing: Adapting To Fluctuating Workloads With Cloud-Native Technologies

S Ahmadi - Journal of Knowledge Learning and Science …, 2023 - jklst.org
This research focuses on the development of elastic data warehousing while adapting to
changing workloads with the help of cloud-based technologies. The traditional methods of …

Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey

J Dogani, R Namvar, F Khunjush - Computer Communications, 2023 - Elsevier
The long-held dream of computing as a service was realized with the emergence of cloud
computing. Recently, fog and edge computing have been introduced as extensions of cloud …

AI-based resource allocation: Reinforcement learning for adaptive auto-scaling in serverless environments

L Schuler, S Jamil, N Kühl - 2021 IEEE/ACM 21st International …, 2021 - ieeexplore.ieee.org
Serverless computing has emerged as a compelling new paradigm of cloud computing
models in recent years. It promises the user services at large scale and low cost while …

si3-Industry: A Sustainable, Intelligent, Innovative, Internet-of-Things Industry

A Kumar, A Nayyar - A roadmap to Industry 4.0: Smart production, sharp …, 2020 - Springer
Industry 4.0 is a digital revolution being witnessed in the present generation whereby the
aim is to digitize the entire manufacturing process with minimal human or manual …

Deep learning-based autoscaling using bidirectional long short-term memory for kubernetes

NM Dang-Quang, M Yoo - Applied Sciences, 2021 - mdpi.com
Presently, the cloud computing environment attracts many application developers to deploy
their web applications on cloud data centers. Kubernetes, a well-known container …

A queuing theory model for fog computing

L Mas, J Vilaplana, J Mateo, F Solsona - The Journal of Supercomputing, 2022 - Springer
Under many scenarios where resources may be scarce or a good Quality of Service is a
requirement, appropriately sizing components and devices is one of the main challenges …

Why is it not solved yet? challenges for production-ready autoscaling

M Straesser, J Grohmann, J von Kistowski… - Proceedings of the …, 2022 - dl.acm.org
Autoscaling is a task of major importance in the cloud computing domain as it directly affects
both operating costs and customer experience. Although there has been active research in …

Sustainable development in industry 4.0

SR Sangwan, MPS Bhatia - A roadmap to industry 4.0: Smart production …, 2020 - Springer
The manufacturing industries nowadays is rapidly changing towards customized production
and the need for today's industry involves the manufacturing process which is both digital …

Auto-scaling techniques for IoT-based cloud applications: a review

S Verma, A Bala - Cluster Computing, 2021 - Springer
Cloud and IoT applications have inquiring effects that can strongly influence today's ever-
growing internet life along with necessity to resolve numerous challenges for each …

gym-hpa: Efficient auto-scaling via reinforcement learning for complex microservice-based applications in kubernetes

J Santos, T Wauters, B Volckaert… - NOMS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Containers have revolutionized application deployment and life-cycle management in
current cloud platforms. Applications have evolved from large monoliths to complex graphs …