scholarly journals Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing

2021 ◽  
Vol 15 (3) ◽  
pp. 25-33
Author(s):  
Abdolreza Pirhoseinlo ◽  
Nafiseh Osati Eraghi ◽  
Javad Akbari Torkestani
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Workflow Scheduling ◽  
Adaptive Workflow

Adaptive Workflow Scheduling on Cloud Computing Platforms with IterativeOrdinal Optimization

2015 ◽  
Vol 3 (2) ◽  
pp. 156-168 ◽  
Author(s):  
Fan Zhang ◽  
Junwei Cao ◽  
Kai Hwang ◽  
Keqin Li ◽  
Samee U. Khan
Keyword(s):  
Cloud Computing ◽  
Workflow Scheduling ◽  
Adaptive Workflow ◽  
Computing Platforms

Adaptive workflow scheduling for dynamic grid and cloud computing environment

2013 ◽  
Vol 25 (13) ◽  
pp. 1816-1842 ◽  
Author(s):  
Mustafizur Rahman ◽  
Rafiul Hassan ◽  
Rajiv Ranjan ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Workflow Scheduling ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Adaptive Workflow

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.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

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