Systematic Scheduling of Jobs in Cloud Computing Environment for Efficient Utilization of Available Resources
Pooja Singh Kushwaha
Abstract
Open-access reader
Pooja Singh Kushwaha
Abstract
Open-access reader
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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