I<SUP>2</SUP>CLOUDMAN: DQN-Enhanced ILP Model for Optimal Virtual Machine Placement and Migration in Cloud Data Centers


Dogan O. D., Mert N. K., SCHMİDT K. V., SCHMİDT K. V.

33rd Conference on Signal Processing and Communications Applications-SIU-Annual, İstanbul, Türkiye, 25 - 28 Haziran 2025, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu66497.2025.11111900
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Efficient resource allocation in cloud data centers (CDCs) for Infrastructure as a Service (IaaS) remains a critical challenge due to fluctuating workloads, power consumption constraints, and the need to minimize Service Level Agreement (SLA) violations. This paper proposes I(2)CLOUDMAN (Intelligent ILP CLOUD MANagement), a novel approach combining Integer Linear Programming (ILP) with a Deep Q-Network (DQN) to optimize virtual machine (VM) creat and migration. The ILP model minimizes power consumption while maximizing resource utilization, and the DQN dynamically adjusts the critical ILP parameters based on real-time workload conditions. This hybrid solution offers a scalable and adaptive framework for modern CDCs, effectively balancing operational efficiency and SLA compliance.