Energy Aware Task Scheduling Algorithms in Cloud Environment: A Survey

2017 ◽  
pp. 631-639
Author(s):  
Debojyoti Hazra ◽  
Asmita Roy ◽  
Sadip Midya ◽  
Koushik Majumder
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithms ◽  
Cloud Environment ◽  
Energy Aware

Research on Intelligent Algorithms for Energy-Aware Scheduling in Computational Grids

2014 ◽  
Vol 926-930 ◽  
pp. 3187-3190
Author(s):  
Yu Jing Wang ◽  
Lin Wu ◽  
Chao Kun Yan
Keyword(s):  
Energy Consumption ◽  
Task Scheduling ◽  
Scheduling Algorithms ◽  
Computational Grids ◽  
Energy Aware ◽  
Intelligent Algorithms ◽  
Complete Problem ◽  
Energy Aware Scheduling ◽  
Np Complete

As the features in Computational Grids such as heterogeneous and dynamic, grid task scheduling is an NP-complete problem. For existing energy consumption in CGs ,and based on the study of scheduling algorithms and energy, this thesis selects four kinds of intelligent algorithms GA, DE, HC and SA to analysis and implementation, and relatively researchs their makespan and energy consumption for energy-aware scheduling.

scholarly journals REVIEW OF TASK SCHEDULING METHODS FOR REAL TIME TASKS IN CLOUD ENVIRONMENT

2020 ◽  
Vol 5 (1) ◽  
pp. 85-89
Author(s):  
Dinkan Patel ◽  
Anjuman Ranavadiya
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Task Scheduling ◽  
Virtual Machines ◽  
Dynamic Scheduling ◽  
Scheduling Algorithms ◽  
Minimum Time ◽  
Cloud Environment ◽  
Static Scheduling ◽  
On Demand

Cloud Computing is a type of Internet model that enables convenient, on-demand resources that can be used rapidly and with minimum effort. Cloud Computing can be IaaS, PaaS or SaaS. Scheduling of these tasks is important so that resources can be utilized efficiently with minimum time which in turn gives better performance. Real time tasks require dynamic scheduling as tasks cannot be known in advance as in static scheduling approach. There are different task scheduling algorithms that can be utilized to increase the performance in real time and performing these on virtual machines can prove to be useful. Here a review of various task scheduling algorithms is done which can be used to perform the task and allocate resources so that performance can be increased.

scholarly journals Comparison of Task Scheduling Algorithms in Cloud Environment

2018 ◽  
Vol 9 (5) ◽  
Author(s):  
Babur Hayat Malik ◽  
Mehwashma Amir ◽  
Bilal Mazhar ◽  
Shehzad Ali ◽  
Rabiya Jalil ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithms ◽  
Cloud Environment

$$\varvec{Q}ET$$ Q E T : a QoS-based energy-aware task scheduling method in cloud environment

2017 ◽  
Vol 20 (4) ◽  
pp. 3199-3212 ◽  
Author(s):  
Shengjun Xue ◽  
Yiyun Zhang ◽  
Xiaolong Xu ◽  
Guowen Xing ◽  
Haolong Xiang ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Cloud Environment ◽  
Energy Aware ◽  
Scheduling Method
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