0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
A Self-Configurable Model for Cloud Resource Allocation
Authors :
Ali Bazghandi
1
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
Robat-e-Beheshti: A Persian Wake Word Detection Dataset for Robotic Purposes
Parisa Ahmadzadeh Raji - Yasser Shekofteh
Robust Learning to Learn Graph Topologies
Navid Akhavan Attar - Ali Fahim
MIPS-Core Application Specific Instruction-Set Processor for IDEA Cryptography − Comparison between Single-Cycle and Multi-Cycle Architectures
Ahmad Ahmadi - Reza Faghih Mirzaee
Diagnosis of Depression Based on New Features Extractive from the Frequency Space of the EEG
Melika Changizi - Saeid Rashidi
Sports News Summarization Using Ensebmle Learning
Moein Sartakhti.salimi@gmail.com - Mohammad Javad Maleki Kahaki - Ahmad Yoosofan - Seyyed Vahid Moravvej
Decentralized Federated Learning in IoT Environments: A Hierarchical Approach
Majid Mohammadpour - Seyedakbar Mostafavi
Capturing Local and Global Features in Medical Images by Using Ensemble CNN-Transformer
Javad Mirzapour Kaleybar - Hooman Saadat - Hooman Khaloo
Design and Simulation of a Low PDP Full Adder by Combining Majority Function and TGDI Technique in CNTFET Technology
Mahsa Mohammadi
Real-Time Vehicle Detection and Classification in UAV imagery Using Improved YOLOv5
Mohammad Hossein Hamzenejadi - Hadis Mohseni
Enhancing Cloud Security with Federated CNN-LSTM: A Novel Approach to Intrusion Detection
Reyhaneh Ilaghi - Raheleh Ilaghi - Fereshteh Rahmani - Seyyed hamid Ghafoori
more
Samin Hamayesh - Version 43.7.0