Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter
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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/983018 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832563998435835904 |
|---|---|
| author | Shyamala Loganathan Saswati Mukherjee |
| author_facet | Shyamala Loganathan Saswati Mukherjee |
| author_sort | Shyamala Loganathan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8c0db5c74ed14a2a8d5a62b9ea2ad19a |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-8c0db5c74ed14a2a8d5a62b9ea2ad19a2025-02-03T01:12:02ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/983018983018Job Scheduling with Efficient Resource Monitoring in Cloud DatacenterShyamala Loganathan0Saswati Mukherjee1Department of Information Science and Technology, Anna University, Tamil Nadu 600025, IndiaDepartment of Information Science and Technology, Anna University, Tamil Nadu 600025, IndiaCloud 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.http://dx.doi.org/10.1155/2015/983018 |
| spellingShingle | Shyamala Loganathan Saswati Mukherjee Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter The Scientific World Journal |
| title | Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter |
| title_full | Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter |
| title_fullStr | Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter |
| title_full_unstemmed | Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter |
| title_short | Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter |
| title_sort | job scheduling with efficient resource monitoring in cloud datacenter |
| url | http://dx.doi.org/10.1155/2015/983018 |
| work_keys_str_mv | AT shyamalaloganathan jobschedulingwithefficientresourcemonitoringinclouddatacenter AT saswatimukherjee jobschedulingwithefficientresourcemonitoringinclouddatacenter |