A Graph-Based Mathematical Model for an Efficient Load Balancing and Fault Tolerance in Cloud Computing

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.

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Factors Affecting Fault Tolerance during Load Balancing in Cloud Computing

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i11.6079 ◽

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).

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

IEEE Access ◽

10.1109/access.2020.3009184 ◽

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

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A new approach to improve load balancing for increasing fault tolerance and decreasing energy consumption in cloud computing

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) ◽

10.1109/kbei.2015.7436178 ◽

2015 ◽

Cited By ~ 4

Author(s):

Ali Moghtadaeipour ◽

Reza Tavoli

Keyword(s):

Cloud Computing ◽

Energy Consumption ◽

Fault Tolerance ◽

Load Balancing ◽

New Approach

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Fault Tolerance Based Load Balancing Approach for Web Resources in Cloud Environment

The International Arab Journal of Information Technology ◽

10.34028/iajit/17/2/10 ◽

2019 ◽

Vol 17 (2) ◽

pp. 225-232 ◽

Cited By ~ 1

Author(s):

Anju Shukla ◽

Shishir Kumar ◽

Harikesh Singh

Keyword(s):

Cloud Computing ◽

Fault Tolerance ◽

Load Balancing ◽

Resource Selection ◽

High Performance ◽

Low Cost ◽

Area Network ◽

Wide Area Network ◽

Task Execution ◽

Index Value

Cloud computing consists group of heterogeneous resources scattered around the world connected through the network. Since high performance computing is strongly interlinked with geographically distributed service to interact with each other in wide area network, Cloud computing makes the architecture consistent, low-cost, and well-suited with concurrent services. This paper presents a fault tolerance load balancing technique based on resource load and fault index value. The proposed technique works in two phases: resource selection and task execution. The resource selection phase selects the suitable resource for task execution. A resource with least resource load and fault index value is selected for task execution. Further task execution phase sets checkpoints at various intervals for saving the task state periodically. The checkpoints are set at various intervals based on resource fault index. When a task is executed on a resource, fault index value of selected resource is updated accordingly. This reduces the checkpoint overhead by avoiding unnecessary placements of checkpoints. The proposed model is validated on CloudSim and provides improved performance in terms of response time, makespan, throughput and checkpoint overhead in comparison to other state-of-the-art methods.

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Load balancing in cloud computing

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i1.1.9709 ◽

2017 ◽

Vol 7 (1.1) ◽

pp. 306 ◽

Cited By ~ 1

Author(s):

Sudhir Kumar M ◽

P Chakravarthi ◽

B Jagadeesh ◽

M Sai Prakash

Keyword(s):

Cloud Computing ◽

Fault Tolerance ◽

Load Balancing ◽

Service Oriented Architectures ◽

Customer Base ◽

Internet Of Services ◽

Service Oriented ◽

Distributed Solutions ◽

Pros And Cons ◽

Technical Issues

The expected take-up of Cloud, based on settled research in Web administrations, systems, utility figuring, disseminated processing and virtualization, will get many favorable circumstances cost, changeability and approachability for benefit clients. These advantages are foreseen to propel drive the requirements for Cloud organizations, growing both the Cloud's customer base and the extent of Cloud foundations. This has implications for many technical issues in Service Oriented Architectures and Internet of Services (IoS)-type applications; including fault tolerance, large accessibility and adaptability. Focal to these issues will be the stronghold for successful balancing load techniques. Balancing load includes allocating assignments to every processor and limiting the time for the execution program. Practically speaking, it will be conceivable even to execute the applications on any machine of overall distributed frameworks. We are going to talk the possible distributed solutions proposed for balancing load and pros and cons of load balancing.

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