Fault tolerance aware scheduling technique for cloud computing environment using dynamic clustering algorithm

2016 ◽  
Vol 29 (1) ◽  
pp. 279-293 ◽  
Author(s):  
Shafi’i Muhammad Abdulhamid ◽  
Muhammad Shafie Abd Latiff ◽  
Syed Hamid Hussain Madni ◽  
Mohammed Abdullahi
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Clustering Algorithm ◽  
Dynamic Clustering ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Scheduling Technique

scholarly journals A Comprehensive Study of Load Balancing Approaches in the Cloud Computing Environment and a Novel Fault Tolerance Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 130500-130526
Author(s):  
Muhammad Asim Shahid ◽  
Noman Islam ◽  
Muhammad Mansoor Alam ◽  
Mazliham Mohd Su'ud ◽  
Shahrulniza Musa
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Tolerance Approach ◽  
Comprehensive Study

scholarly journals A Study on Factors Contributing to Efficiency of Scheduling Algorithms in a Cloud Computing Environment; Overview of Several Algorithms

2015 ◽  
Vol 37 ◽  
pp. 427
Author(s):  
Minoo Soltanshahi ◽  
Aliakbar Niknafs
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Efficient Algorithm ◽  
System Performance ◽  
Scheduling Algorithms ◽  
Cloud Environment ◽  
Computing Environment ◽  
Shared Resources ◽  
Cloud Computing Environment ◽  
Tremendous Impact

Cloud computing is the latest distributed technology providing a rich environment of dynamically shared resources through virtualization, which can fulfill the requirements of users by allocating resources to programs. Any program in a cloud environment is delivered by workflows which are a series of interlinked tasks to accomplish a goal. One of the most important tasks in cloud computing is correct mapping of tasks onto resources. It is essential to schedule processes in distributed systems such as cloud, since it leaves a tremendous impact on the system performance. This is done by scheduling algorithms. Therefore, it is crucial to present and adopt an efficient algorithm in the cloud environment. This article attempted to examine the parameters effective in the efficiency of scheduling algorithms including deadline, cost constraint, balanced loading, power consumption and fault tolerance. Additionally, the performances of several algorithms were briefly discussed.

scholarly journals Design and implementation of endogenous security container based on union file system

2021 ◽  
Vol 2078 (1) ◽  
pp. 012080
Author(s):  
Fukang Xing ◽  
Zheng Zhang ◽  
Bolin Ma ◽  
Bingzheng Li
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Fault Tolerance ◽  
Data Processing ◽  
File System ◽  
Experimental Results ◽  
Computing Environment ◽  
Big Data Processing ◽  
Cloud Computing Environment ◽  
Design And Implementation

Abstract In order to solve the increasing attacks on container file system and the IO errors of containers in big data processing scenarios in cloud computing environment, a scheme based on the idea of heterogeneous redundancy in endogenous security and transformation of container union file system was proposed to improve the security and fault tolerance of containers. Based on the above scheme, experiments are carried out on Docker, the most popular container technology, and OverlayFS, the most representative union file system. The experimental results show that this scheme can improve the security and fault tolerance of containers on the premise of ensuring availability, and realize the endogenous security of containers.

Sign in / Sign up

Export Citation Format

Share Document