Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter

المؤلفون المشاركون

Loganathan, Shyamala
Mukherjee, Saswati

المصدر

The Scientific World Journal

العدد

المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2015-09-15

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1079367