An ensemble CPU load prediction algorithm using a Bayesian information criterion and smooth filters in a cloud computing environment-Reference-Cited by-同舟云学术

An ensemble CPU load prediction algorithm using a Bayesian information criterion and smooth filters in a cloud computing environment

Published:2018-09-24 Issue:12 Volume:48 Page:2257-2277
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw: Pract Exper

Author:

Tofighy Sajjad¹^ORCID,Rahmanian Ali A.²^ORCID,Ghobaei-Arani Mostafa³^ORCID

Affiliation:

1. Faculty of Electrical and Computer Engineering; Tarbiat Modares University; Tehran Iran

2. Department of Computer Science & Engineering and Information Technology, School of Electrical and Computer Engineering; Shiraz University; Shiraz Iran

3. Department of Computer Engineering; Qom Islamic Azad University; Qom Iran

Publisher

Wiley

Subject

Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/spe.2641/fullpdf

Reference40 articles.

1. Essentials of Cloud Computing

2. An autonomic resource provisioning approach for service-based cloud applications: a hybrid approach;Ghobaei-Arani;Futur Gener Comput Syst,2018

3. An autonomic approach for resource provisioning of cloud services;Ghobaei-Arani;Cluster Comput,2016

4. Big media healthcare data processing in cloud: a collaborative resource management perspective;Das;Cluster Comput,2017

5. Yang L Foster I Schopf JM Homeostatic and tendency-based CPU load predictions 2003 Nice, France

Cited by 42 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. Towards a semi-supervised ensemble clustering framework with flexible weighting mechanism and constraints information;Engineering Applications of Artificial Intelligence;2024-10

2. An electricity price and energy-efficient workflow scheduling in geographically distributed cloud data centers;Journal of King Saud University - Computer and Information Sciences;2024-10

3. Energy-efficient routing protocols for UWSNs: A comprehensive review of taxonomy, challenges, opportunities, future research directions, and machine learning perspectives;Journal of King Saud University - Computer and Information Sciences;2024-09

4. Improved snake optimization-based task scheduling in cloud computing;Computing;2024-08-07

5. Auto-scaling mechanisms in serverless computing: A comprehensive review;Computer Science Review;2024-08