A comprehensive survey of Fault Tolerance techniques in Cloud Computing

2015 ◽  
Author(s):  
Himanshu Agarwal ◽  
Anju Sharma
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Comprehensive Survey

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

scholarly journals Fault Tolerance Techniques and Comparative Implementation in Cloud Computing

2013 ◽  
Vol 64 (14) ◽  
pp. 37-41 ◽  
Author(s):  
Prasenjit KumarPatra ◽  
Harshpreet Singh ◽  
Gurpreet Singh
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance

scholarly journals A Survey on Mobile Edge Computing: Focusing on Service Adoption and Provision

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Kai Peng ◽  
Victor C. M. Leung ◽  
Xiaolong Xu ◽  
Lixin Zheng ◽  
Jiabin Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Networks ◽  
Edge Computing ◽  
Computation Offloading ◽  
Battery Life ◽  
Mobile Edge Computing ◽  
Service Adoption ◽  
Comprehensive Survey ◽  
And Storage ◽  
Execution Delay

Mobile cloud computing (MCC) integrates cloud computing (CC) into mobile networks, prolonging the battery life of the mobile users (MUs). However, this mode may cause significant execution delay. To address the delay issue, a new mode known as mobile edge computing (MEC) has been proposed. MEC provides computing and storage service for the edge of network, which enables MUs to execute applications efficiently and meet the delay requirements. In this paper, we present a comprehensive survey of the MEC research from the perspective of service adoption and provision. We first describe the overview of MEC, including the definition, architecture, and service of MEC. After that we review the existing MUs-oriented service adoption of MEC, i.e., offloading. More specifically, the study on offloading is divided into two key taxonomies: computation offloading and data offloading. In addition, each of them is further divided into single MU offloading scheme and multi-MU offloading scheme. Then we survey edge server- (ES-) oriented service provision, including technical indicators, ES placement, and resource allocation. In addition, other issues like applications on MEC and open issues are investigated. Finally, we conclude the paper.

Fault Tolerance in Cloud Computing- An Algorithmic Approach

2020 ◽  
pp. 307-316 ◽  
Author(s):  
Md. Robiul Alam Robel ◽  
Subrato Bharati ◽  
Prajoy Podder ◽  
Md. Raihan-Al-Masud ◽  
Sanjoy Mandal
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Algorithmic Approach

Effect of Fault Tolerance in the Field of Cloud Computing

2019 ◽  
pp. 297-305 ◽  
Author(s):  
A. H. M. Shahariar Parvez ◽  
Md. Robiul Alam Robel ◽  
Mohammad Abdur Rouf ◽  
Prajoy Podder ◽  
Subrato Bharati
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance

scholarly journals Factors Affecting Fault Tolerance during Load Balancing in Cloud Computing

2021 ◽  
Vol 12 (11) ◽  
pp. 1523-1533
Author(s):  
Bidush Kumar Sahoo , Et. al.
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
South India ◽  
Analysis Tool ◽  
Factors Affecting ◽  
Software Firms ◽  
Statistical Analysis Tool ◽  
Cost Efficient ◽  
Support Cost

Cloud computing is built upon the advancement of virtualization and distributed computing to support cost-efficient usage of computing resources and to provide on demand services. After methodical analysis on various factors affecting fault tolerance during load balancing is performed and it is concluded that the factors influencing fault tolerance in load balancing are cloud security, adaptability etc. in comparatively more software firms. In this paper, we have created a model for various IT industries for checking the fault tolerance during Load balancing. An exploration is done with the help of some renowned IT farms and industries in South India. This work consists of 20 hypotheses which may affect the fault tolerance during load balancing in South India. It is verified by using potential statistical analysis tool i.e. Statistical Package for Social Science (SPSS).

scholarly journals Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

2016 ◽  
Vol 4 (1) ◽  
pp. 129 ◽  
Author(s):  
Narasimha Rao Vajjhala ◽  
Ervin Ramollari
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Fault Tolerance ◽  
Competitive Advantage ◽  
Computer Architecture ◽  
Financial Resources ◽  
Future Research ◽  
Current Trends ◽  
Low Performance ◽  
Research Frontiers

Big Data has been listed as one of the current and future research frontiers by Gartner. Large-sized companies are already investing on and leveraging big data. Small-sized and medium-sized enterprises (SMEs) can also leverage big data to gain a strategic competitive advantage but are often limited by the lack of adequate financial resources to invest on the technology and manpower. Several big data challenges still exist especially in computer architecture that is CPU-heavy but I/O poor. Cloud computing eliminates the need to maintain expensive computing hardware and software. Cloud computing resources and techniques can be leveraged to address the traditional problems associated with fault tolerance and low performance causing bottlenecks to using big data. SMEs can take advantage of cloud computing techniques to avail the advantages of big data without significant investments in technology and manpower. This paper explores the current trends in the area of big data using cloud resources and how SMEs can take advantage of these technological trends. The results of this study will benefit SMEs in identifying and exploring possible opportunities and also understanding the challenges in leveraging big data.

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