Please wait ...
0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
Virtual machine consolidation using SLA-aware genetic algorithm placement for data centers with non-stationary workloads
Authors :
Hossein Monshizadeh Naeen
1
1- Department of Computer and Information Technology Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
Keywords :
Cloud Computing; Green IT; SLA violation; VM Consolidation; Genetic Algorithms; Stochastic Proccess
Abstract :
Cloud computing is a computing model based on computer networks such as the Internet that provides a new model for the provision, use and delivery of computing services (including infrastructure, software, and platform) using network facilities. In fact, Cloud service providers provide services to cloud users based on user demand, and users pay as much as they need to use cloud resources. Until recently, efficiency was one of the most important concern in the problem of data center resources provisioning, but now, due to high energy costs, the issue of reducing energy consumption has also become very important. Dynamic virtual machine (VM) consolidation is one of the technologies that has been considered for green computing in cloud data centers. In this paper, we present a service level agreement aware system based on genetic algorithms for consolidation of VMs in an Infrastructure as a Service (IaaS) Cloud environment. The proposed approach considers workloads as non-stationary stochastic processes, and automatically models workloads as stationary processes using a dynamic sliding window method. Simulation results in the CloudSim confirms that the proposed VM consolidation algorithms in this paper provides significant cost savings.
Papers List
List of archived papers
Optimizing Foreign Exchange Trading Performance Through Reinforcement Machine Learning Framework
Ervin Gubin Moung - Hani Yasmin Binti Murnizam - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Lorita Angeline
Plant Disease Detection Using Dynamic Knowledge Distillation and Attention Mechanism
Mohammad Ghasemi Arian - Mohammad Hossein Yaghmaee Moghaddam
Dynamic Knowledge Enhanced Neural Fashion Trend Forecasting with Quantile Loss
Fatemeh Rooholamini - Reza Azmi - Mobina Khademhossein - Maral Zarvani
Graph-Cut-Based Semantic Optimization for Temporal Action Segmentation
Mohanna Ansari - Ehsan Fazl-Ersi
Energy-Aware Dynamic Digital Twin Placement in Mobile Edge Computing
Mahdi Hematyar - Zeinab Movahedi
An Efficient Planning Method for Autonomous Navigation of a Wheeled-Robot based on Deep Reinforcement Learning
Ali Salimi Sadr - Mahdi Shahbazi Khojasteh - Hamed Malek - Armin Salimi-Badr
TCAR: Thermal and Congestion-Aware Routing Algorithm in a Partially Connected 3D Network on Chip
Majid Nezarat - Masoomeh Momeni
A Cost-Sensitive Genetic Algorithm for Customer Segmentation in Auto Insurances
Alireza Khajenoori - Mohammad Saniee Abadeh - Mohsen Mohammadzadeh
Improving Motor Imagery Classification in BCI Systems Using EMD and Multi-Layer CNNs
Reza Arghand - Ali Chaibakhsh - Moein Radman
Probabilistic Short-Term Load Forecasting Using GBDT-Based Sister Forecasts and Ensemble Methods
Hossein Shahinzadeh - Hamed Nafisi - Amirafshin Zamani - Saiedeh Mehrabani-Najafabadi - Arezou Mahmoudi - Farshad Ebrahimi
more
Samin Hamayesh - Version 44.9.3