Enhancing the Scientific Workflow Scheduling by Adaptive Approaches with Convex Optimization in Cloud Environment

2021 ◽  
Author(s):  
Ramandeep Sandhu ◽  
Kamlesh Lakhwani
Keyword(s):  
Convex Optimization ◽  
Scientific Workflow ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Adaptive Approaches

Scientific workflow scheduling based on data transformation graph for remote sensing application

2021 ◽  
Author(s):  
Zhuojing tian ◽  
Zhenchun huang ◽  
Yinong zhang ◽  
Yanwei zhao ◽  
En fu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Genetic Algorithm ◽  
Data Transformation ◽  
Scientific Workflow ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Sensing Applications ◽  
Random Algorithm ◽  
Remote Sensing Applications ◽  
Sensing Application

<p><strong>Abstract: </strong>As the amount of data and computation of scientific workflow applications continue to grow, distributed and heterogeneous computing infrastructures such as inter-cloud environments provide this type of application with a great number of computing resources to meet corresponding needs. In the inter-cloud environment, how to effectively map tasks to cloud service providers to meet QoS(quality of service) constraints based on user requirements has become an important research direction. Remote sensing applications need to process terabytes of data each time, however frequent and huge data transmission across the cloud will bring huge performance bottlenecks for execution, and seriously affect the result of QoS constraints such as makespan and cost. Using a data transformation graph(DTG) to study the data transfer process of global drought detection application, the specific optimization strategy is obtained based on the characteristics of application and environment, and according to this, one inter-cloud workflow scheduling method based on genetic algorithm is proposed, under the condition of satisfying the user’s QoS constraints, the makespan the cost can be minimized. The experimental results show that compared with the standard genetic algorithm, random algorithm, random algorithm, and round-robin algorithm, the optimized genetic algorithm can greatly improve the scheduling performance of data computation-intensive scientific workflows such as remote sensing applications and reduce the impact of performance bottlenecks.</p><p><strong>Keywords: </strong>scientific workflow scheduling; inter-cloud environment; remote sensing application; data transformation graph;</p>

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.

A Review of PSO-Based Task and Workflow Scheduling Analysis in Cloud Environment

2021 ◽  
Author(s):  
Arti Ranjan ◽  
Inderpreet Kaur ◽  
Anika Bhardwaj ◽  
Vishnu Sharma
Keyword(s):  
Workflow Scheduling ◽  
Cloud Environment ◽  
Scheduling Analysis

Exploration of Secured Workflow Scheduling Models in Cloud Environment: A Survey

2018 ◽  
Author(s):  
Akindipe Olusegun Francis ◽  
Bugingo Emmanuel ◽  
Defu Zhang ◽  
Wei Zheng ◽  
Yingsheng Qin ◽  
...  
Keyword(s):  
Workflow Scheduling ◽  
Cloud Environment ◽  
Scheduling Models
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