Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter

Joint Authors

Loganathan, Shyamala
Mukherjee, Saswati

Source

The Scientific World Journal

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-09-15

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

Cloud computing is an on-demand computing model, which uses virtualization technology to provide cloud resources to users in the form of virtual machines through internet.

Being an adaptable technology, cloud computing is an excellent alternative for organizations for forming their own private cloud.

Since the resources are limited in these private clouds maximizing the utilization of resources and giving the guaranteed service for the user are the ultimate goal.

For that, efficient scheduling is needed.

This research reports on an efficient data structure for resource management and resource scheduling technique in a private cloud environment and discusses a cloud model.

The proposed scheduling algorithm considers the types of jobs and the resource availability in its scheduling decision.

Finally, we conducted simulations using CloudSim and compared our algorithm with other existing methods, like V-MCT and priority scheduling algorithms.

American Psychological Association (APA)

Loganathan, Shyamala& Mukherjee, Saswati. 2015. Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1079367

Modern Language Association (MLA)

Loganathan, Shyamala& Mukherjee, Saswati. Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter. The Scientific World Journal No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1079367

American Medical Association (AMA)

Loganathan, Shyamala& Mukherjee, Saswati. Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1079367

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1079367