A novel task scheduling approach based on dynamic queues and hybrid meta-heuristic algorithms for cloud computing environment

2018 ◽  
Vol 21 (4) ◽  
pp. 1797-1820 ◽  
Author(s):  
Hicham Ben Alla ◽  
Said Ben Alla ◽  
Abdellah Touhafi ◽  
Abdellah Ezzati
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Heuristic Algorithms ◽  
Computing Environment ◽  
Cloud Computing Environment

Task Scheduling Using an Adaptive PSO Algorithm in Cloud Computing Environment

2018 ◽  
pp. 419-426
Author(s):  
B. Sivaramakrishna ◽  
T. V. Rao
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Electricity Generation ◽  
Heuristic Algorithms ◽  
Renewable Energy Sources ◽  
Optimal Solution ◽  
Pso Algorithm ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Adaptive Pso

Now-a-days energy planners are aiming to increase the use of renewable energy sources and nuclear to meet the electricity generation. But till now coal-based power plants are the major source of electricity generation. The problem of task scheduling is one of the most important steps in taking advantage of the cloud computing environment. Various experiments show that although it is almost impossible to have an optimal solution, it seems that there is a more optimal solution using heuristic algorithms. This work compares three heuristic approaches to scheduling cloud environment tasks. These approaches are the PSO algorithm, the ACO, and the adaptive PSO algorithm for efficient task scheduling. The goal of all three of these algorithms is to generate an optimal schedule to minimize task completion time.

scholarly journals Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment

PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0176321 ◽  
Author(s):  
Syed Hamid Hussain Madni ◽  
Muhammad Shafie Abd Latiff ◽  
Mohammed Abdullahi ◽  
Shafi’i Muhammad Abdulhamid ◽  
Mohammed Joda Usman
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Heuristic Algorithms ◽  
Performance Comparison ◽  
Computing Environment ◽  
Cloud Computing Environment

A novel task scheduling scheme in a cloud computing environment using hybrid biogeography-based optimization

2018 ◽  
Vol 23 (21) ◽  
pp. 11035-11054 ◽  
Author(s):  
Zhao Tong ◽  
Hongjian Chen ◽  
Xiaomei Deng ◽  
Kenli Li ◽  
Keqin Li
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Scheduling Scheme
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