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A Brief Review on Prediction Methods for Cloud Resource Management

EasyChair Preprint no. 11368, version 2

Versions: 12history
9 pagesDate: November 23, 2023

Abstract

Nowadays, managing cloud resources appropriately is undoubtedly crucial to fully utilize computing resources in the cloud environment, and improve service quality. An effective resource management strategy is to forecast potential future cloud resource demands or abnormal events in order to schedule resources in advance. This study provides a brief overview of these resource prediction methods from the view of different prediction objects.

Keyphrases: Cloud brain, Cloud Computing, prediction model, resource management

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:11368,
  author = {Chenxing Kuang and Yunyun Qiu and Weipeng Cao and Zhijiao Xiao and Zhong Ming},
  title = {A Brief Review on Prediction Methods for Cloud Resource Management},
  howpublished = {EasyChair Preprint no. 11368},

  year = {EasyChair, 2023}}
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