Optimizing the performance of optimization in the cloud environment–An intelligent auto-scaling approach-Reference-Cited by-同舟云学术

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Optimizing the performance of optimization in the cloud environment–An intelligent auto-scaling approach

Published:2019-12 Issue: Volume:101 Page:909-920
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Simic Visnja,Stojanovic Boban,Ivanovic Milos

Funder

Ministry of Education, Science and Technological Development, Republic of Serbia

SILICOFCM

NVIDIA

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference44 articles.

1. Guest editors introduction: Special issue on scientific cloud computing;Keahey;IEEE Trans. Cloud Comput.,2016

2. Understanding the performance and potential of cloud computing for scientific applications;Sadooghi;IEEE Trans. Cloud Comput.,2017

3. pIpsCloud: High performance cloud computing for remote sensing big data management and processing;Wang;Future Gener. Comput. Syst.,2018

4. Next generation cloud computing: New trends and research directions;Varghese;Future Gener. Comput. Syst.,2018

5. Genetic Algorithms in Search, Optimization and Machine Learning;Goldberg,1989

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1. Auto-Scaling Techniques in Cloud Computing: Issues and Research Directions;Sensors;2024-08-28

2. Data replication and scheduling in the cloud with optimization assisted work flow management;Multimedia Tools and Applications;2024-01-30

3. Proactive resource management for cloud of services environments;Future Generation Computer Systems;2024-01

4. Identifying optimal architectures of physics-informed neural networks by evolutionary strategy;Applied Soft Computing;2023-10

5. Cloning-based virtual machine pre-provisioning for resource-constrained edge cloud server;Cluster Computing;2023-06-07

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