International Conference on Computer and Knowledge Engineering

Home / 13th International Conference on Computer and Knowledge Engineering

A Review on Machine Learning Methods for Workload Prediction in Cloud Computing

Authors :

Mohammad Yekta¹ Hadi Shahriar Shahhoseini²

1- School of Electrical Engineering, Iran University of Science and Technology 2- School of Electrical Engineering, Iran University of Science and Technology

Keywords :

Workload Prediction،Cloud Computing،Resource Provisioning،Machine Learning،Deep Learning

Abstract :

As technology advances, the volume of data and computing requirements has increased significantly. Personal computers are no longer sufficient to meet the computational and storage needs of users' data. This has led to the emergence of cloud computing, a new technology that transfers computational and data-processing tasks from PCs to data centers. Cloud computing offers resources in the form of infrastructure, platforms, and software as services, all accessible to users through the Internet. Resource provisioning is a critical aspect of cloud computing. To effectively allocate resources, accurate prediction of cloud workloads is essential. Workload prediction plays a crucial role in enhancing efficiency, reducing costs, optimizing cloud performance, maintaining a high level of quality of service, and minimizing energy consumption. In this paper, we conduct a comprehensive review of the most significant machine learning algorithms used for workload prediction. The algorithms are categorized and discussed, while also highlighting open issues and challenges that could serve as potential directions for future research.

Papers List

List of archived papers

Enhanced Autoencoder-based Clustering for Message Analysis in Binary Protocols

Mohaddese Nemati - Shiva Mahmoudzadeh - Mehdi Teimouri

Enhancing Vehicle Make and Model Recognition with 3D Attention Modules

Narges Semiromizadeh - Omid Nejati Manzari - Shahriar B. Shokouhi - Sattar Mirzakuchaki

Automatic Detection and Risk Assessment of Session Management Vulnerabilities in Web Applications

Nasrin Garmabi - Mohammad Ali Hadavi

Smart Home Connectivity: Identifying the Best IoT Application Layer Protocols

Hossein Shahinzadeh - Zohreh Azani - Sundus F. Al-Hameedawi - S. Mohammadali Zanjani - Saiedeh Mehrabani-Najafabadi - Mohammadreza Hemmati

Ensemble-Based Fraud Detection: A Robust Approach Evaluated on IEEE-CIS

Fatemeh Moradi - Mehran Tarif - Mohammadhossein Homaei

FinTNet: From Tweets to Trades

Dorsa Tavakoli - Saman Haratizadeh

Instance Selection from Skewed Class Distributions by Using the multi-objective optimizer

Mona Moradi - Javad Hamidzadeh

Deep Learning-Based Malaysian Sign Language (MSL) Recognition: Exploring the Impact of Color Spaces

Ervin Gubin Moung - Precilla Fiona Suwek - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Wei Leong Khong

Distilled BERT Model In Natural Language Processing

Yazdan Zandiye Vakili - Avisa Fallah - Hedieh Sajedi

Improvement of Credit Scoring by LSTM Autoencoder Model

Milad Sattari Maleki - Seyedeh Niusha Motevallian - Faezehsadat Hosseini - Mohammad Sabokrou - Hamidreza Soltanalizadeh Maleki