Online optimization scheduling for scientific workflows with deadline constraint on hybrid clouds

2015 ◽  
Vol 28 (11) ◽  
pp. 3079-3095 ◽  
Author(s):  
Bing Lin ◽  
Wenzhong Guo ◽  
Xiuyan Lin
Keyword(s):  
Online Optimization ◽  
Scientific Workflows ◽  
Hybrid Clouds ◽  
Deadline Constraint ◽  
Optimization Scheduling

Hybrid scheduling for scientific workflows on hybrid clouds

2020 ◽  
Vol 181 ◽  
pp. 107438
Author(s):  
Amirmohammad Pasdar ◽  
Young Choon Lee ◽  
Khaled Almi’ani
Keyword(s):  
Scientific Workflows ◽  
Hybrid Scheduling ◽  
Hybrid Clouds

Cost Effective Heuristic workflow scheduling algorithm in Cloud under Deadline Constraint

2019 ◽  
Vol 12 ◽  
Author(s):  
Jasraj Meena ◽  
Manu Vardhan
Keyword(s):  
Cloud Computing ◽  
Scheduling Algorithm ◽  
Cost Effective ◽  
Scientific Workflow ◽  
Scientific Workflows ◽  
Workflow Scheduling ◽  
Performance Variation ◽  
Acquisition Delay ◽  
Very High ◽  
Deadline Constraint

Cloud computing is used to deliver IT resources over the internet. Due to the popularity of cloud computing, nowadays, most of the scientific workflows are shifted towards this environment. There are lots of algorithms has been proposed in the literature to schedule scientific workflows in the cloud, but their execution cost is very high as well as they are not meeting the user-defined deadline constraint. This paper focuses on satisfying the userdefined deadline of a scientific workflow while minimizing the total execution cost. So, to achieve this, we have proposed a Cost-Effective under Deadline (CEuD) constraint workflow scheduling algorithm. The proposed CEuD algorithm considers all the essential features of Cloud and resolves the major issues such as performance variation, and acquisition delay. We have compared the proposed CEuD algorithm with the existing literature algorithms for scientific workflows (i.e., Montage, Epigenomics, and CyberShake) and getting better results for minimizing the overall execution cost of the workflow while satisfying the user-defined deadline.

Cost and Energy Aware Scheduling Algorithm for Scientific Workflows with Deadline Constraint in Clouds

2018 ◽  
Vol 11 (4) ◽  
pp. 713-726 ◽  
Author(s):  
Zhongjin Li ◽  
Jidong Ge ◽  
Haiyang Hu ◽  
Wei Song ◽  
Hao Hu ◽  
...  
Keyword(s):  
Scheduling Algorithm ◽  
Scientific Workflows ◽  
Energy Aware ◽  
Energy Aware Scheduling ◽  
Deadline Constraint

Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds

2018 ◽  
pp. 708-714 ◽  
Author(s):  
Amirmohammad Pasdar ◽  
Khaled Almi’ani ◽  
Young Choon Lee
Keyword(s):  
Scientific Workflows ◽  
Hybrid Clouds

ON COMPARATIVE ANALYSIS OF PERFORMANCE OPTIMIZATION METHODS OF MULTI-PUMP UNITS

2020 ◽  
pp. 23-28
Author(s):  
A.I. Glushchenko ◽  
M.Yu. Serov
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Comparative Analysis ◽  
Performance Optimization ◽  
Optimization Methods ◽  
Online Optimization ◽  
New Approach ◽  
Advantages And Disadvantages ◽  
Analysis Of Performance

В статье рассматривается вопрос совершенствования системы управления параллельно-работающими насосными агрегатами с целью повышения энергоэффективности их работы. Проведено сравнение и выявление недостатков существующих методов решения рассматриваемой проблемы. Предложена идея нового подхода на базе онлайн оптимизации. The problem under consideration is improvement of the energy efficiency of a control system of parallel-running pump units. Known methods used to solve this problem are considered. Their advantages and disadvantages are shown. Finally, the idea of a new approach, which is based on online optimization, is proposed.

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