2016•International Journal of Computer ApplicationsOpen access

Systematic Scheduling of Jobs in Cloud Computing Environment for Efficient Utilization of Available Resources

Pooja Singh Kushwaha

Open full text 0 citations

Abstract

Cloud computing provide many services on demand to their end users, and customer can borrow those resources from CSP on only pay-per-use basis.There are many issues arises day by day in cloud computing environment.Job scheduling is one of the major issues.In scheduling we are focusing on to execute maximum no. of user's jobs by utilizing minimum no. of resources which is available in cloud computing.Also scheduling of user's jobs defines how to allocate an appropriate resource to these request come from end users to finish task in minimum time.In this research paper, we are introducing cloud computing, job scheduling and Artificial Neural Network (ANN) based task allocation model has been proposed to increase the performance of the cloud computing system and also find the optimal system cost.

Open-access reader

About this research paper

What this paper is about

Cloud computing provide many services on demand to their end users, and customer can borrow those resources from CSP on only pay-per-use basis.There are many issues arises day by day in cloud computing environment.Job scheduling is one of the major issues.In scheduling we are focusing on to execute maximum no. of user's jobs by utilizing minimum no. of resources which is available in cloud computing.Also scheduling of user's jobs defines how to allocate an appropriate resource to these request come from end users to finish task in minimum time.In this research paper, we are introducing cloud computing, job scheduling and Artificial Neural Network (ANN) based task allocation model has been proposed to increase the performance of the cloud computing system and also find the optimal system cost.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Cloud computing provide many services on demand to their end users, and customer can borrow those resources from CSP on only pay-per-use basis.There are many issues arises day by day in cloud computing environment.Job scheduling is one of the major issues.In scheduling we are focusing on to execute maximum no. of user's jobs by utilizing minimum no. of resources which is available in cloud computing.Also scheduling of user's jobs defines how to allocate an appropriate resource to these request come from end users to finish task in minimum time.In this research paper, we are introducing cloud computing, job scheduling and Artificial Neural Network (ANN) based task allocation model has been proposed to increase the performance of the cloud computing system and also find the optimal system cost.

Key concepts: Computer science, Cloud computing, Scheduling (production processes), Distributed computing, Operating system, Operations management, Economics

Related papers

Back to paper searchBrowse research topicsOriginal source
Systematic Scheduling of Jobs in Cloud Computing Environment for Efficient Utilization of Available Resources — Research Paper | ScholarLens