Limits...
Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter.

Loganathan S, Mukherjee S - ScientificWorldJournal (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Information Science and Technology, Anna University, Tamil Nadu 600025, India.

ABSTRACT
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.

No MeSH data available.


System architecture of the proposed model.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC4587428&req=5

fig1: System architecture of the proposed model.

Mentions: In a cloud, the end users' service requests are considered as job and the job is assigned to a virtual machine (VM). In the proposed model, the hosts are assumed to be homogeneous physical machines (or servers) that contain the computational power where the VMs are deployed. Since the proposed algorithm focuses on the available cores and memory, adaptation of the proposed model in a heterogeneous environment is a straight forward task. The architecture of the proposed cloud model is shown in Figure 1 and notations used in the system model are described in Notations Section.


Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter.

Loganathan S, Mukherjee S - ScientificWorldJournal (2015)

System architecture of the proposed model.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4587428&req=5

fig1: System architecture of the proposed model.
Mentions: In a cloud, the end users' service requests are considered as job and the job is assigned to a virtual machine (VM). In the proposed model, the hosts are assumed to be homogeneous physical machines (or servers) that contain the computational power where the VMs are deployed. Since the proposed algorithm focuses on the available cores and memory, adaptation of the proposed model in a heterogeneous environment is a straight forward task. The architecture of the proposed cloud model is shown in Figure 1 and notations used in the system model are described in Notations Section.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Information Science and Technology, Anna University, Tamil Nadu 600025, India.

ABSTRACT
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.

No MeSH data available.