Research on Hot-Threshold based dynamic resource management in the cloud

Recent advancements in cloud computing have significantly increased its importance across various sectors. As sensors, devices, and customer demands have become more diverse, workloads have become increasingly variable and difficult to predict. Cloud providers, connected to multiple physical servers...

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Bibliographic Details
Published inInternational Journal of Advanced Culture Technology(IJACT) Vol. 12; no. 3; pp. 471 - 479
Main Authors 김건우, 문석재, 박병준
Format Journal Article
LanguageEnglish
Published 국제문화기술진흥원 30.09.2024
Subjects
과학기술학
Cloud Computing
Container Orchestration
Resource Provisioning
Machine learning
Resource Scheduling
Integrated Environmental Management
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Table of Contents:
  • Abstract 1. INTRODUCTION 2. RELATED WORK 3. PROPOSED SYSTEM 3.1 Proposed Scheduler Overall Components 3.2 System Sequence Diagram 3.3 Hot-Threshold Scheduler Algorithm 4. EXPERIMENTS AND RESULTS 5. CONCLUSION Acknowledge References