Dynamic Provisioning of Cloud Resources Based on Workload Prediction-Reference-Cited by-同舟云学术

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Dynamic Provisioning of Cloud Resources Based on Workload Prediction

Published:2019 Issue: Volume: Page:41-49
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Bhagavathiperumal Sivasankari,Goyal Madhu

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-7150-9_5

Reference11 articles.

1. Aslanpour MS, Ghobaei-Arani M, Nadjaran Toosi A (2017) Auto-scaling web applications in clouds: a cost-aware approach. J Netw Comput Appl 95:26–41

2. Roy N, Dubey A, Gokhale A (2011) Efficient autoscaling in the cloud using predictive models for workload forecasting. In: 2011 IEEE 4th international conference on cloud computing

3. Ghobaei-Arani M, Jabbehdari S, Pourmina MA (2016) An autonomic resource provisioning approach for service-based cloud applications: a hybrid approach. Future Generation Comput Syst

4. Yang J et al (2014) A cost-aware auto-scaling approach using the workload prediction in service clouds. Inf Syst Front 16(1):7–18

5. Qu C, Calheiros RN, Buyya R (2016) A reliable and cost-efficient auto-scaling system for web applications using heterogeneous spot instances. J Netw Comput Appl 65:167–180

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resource Auto‐Scaling;Resource Management on Distributed Systems;2024-09-06

2. Analysis of Workloads for Cloud Services;2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD);2022-08-04

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