International Conference on Computer and Knowledge Engineering

Home / 11th International Conference on Computer and Knowledge Engineering

A Self-Configurable Model for Cloud Resource Allocation

Authors :

Ali Bazghandi¹

1- Faculty of Computer Engineering & IT, Shahrood University of Technology

Keywords :

cloud, resource allocation, reliability, self-configuration, fault, nodes

Abstract :

Cloud computing is a technology in which shared resources (networks, servers, storage locations, applications and services) are available through an extensive and dynamic network, and the cloud user can get access to it as quickly as possible and at the lowest cost. Cloud resource management is the process of provisioning, dispatching and monitoring resources. Extensive research has been conducted in the field of resource management, which includes resource provisioning, resource allocation, resource adapting, resource mapping, resource modeling, resource prediction, and resource brokering. Many techniques and architectures have been presented in this field, each of which has its own characteristics. Since the automating of cloud resource management procedures has always been a desirable goal, also it has always been a challenge. Amount of reliability in cloud systems is a success resource management criteria. The occurrence of errors and failures in the cloud systems, in addition to creating legal and financial penalties, is also effective in losing the trust of cloud users. The aim of this research is to achieve an acceptable level of reliability and availability by providing a self-configurable cloud model for resource allocation.

Papers List

List of archived papers

AVID: A VARIATIONAL INFERENCE DELIBERATION FOR META-LEARNING

Alireza Javaheri - Arsham Gholamzadeh Khoee - Saeed Reza Kheradpisheh - Hadi Farahani - Mohammad Ganjtabesh

SUT: a new multi-purpose synthetic dataset for Farsi document image analysis

Elham Shabaninia - Fatemeh sadat Eslami - Ali Afkari Fahandari - Hossein Nezamabadi-pour

Low-Cost and Hardware Efficient Implementation of Pooling Layers for Stochastic CNN Accelerators

Mobin Vaziri - Hadi Jahanirad

Improvement of Credit Scoring by LSTM Autoencoder Model

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

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

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

Mona Moradi - Javad Hamidzadeh

Online Task Offloading and Scheduling in Fog-Cloud ‎Environment based on Reinforcement Learning

Ali Sheidaee - Leili Farzinvash - Alireza Sokhandan

An Analysis of Botnet Detection Using Graph Neural Network

Faezeh Alizadeh - Mohammad Khansari

Investigation of topological characteristics of Iranian railway network: A network science approach

Sina Firuzbakht - Mohammad Khansari

Evaluating the Impact of Traveling on COVID-19 Prevalence and Predicting the New Confirmed Cases According to the Travel Rate Using Machine Learning: A Case Study in Iran

Anita Ghandehari - Soheil Shirvani - Hadi Moradi