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Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter
Joint Authors
Loganathan, Shyamala
Mukherjee, Saswati
Source
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