A novel resource clustering model to develop an efficient wireless personal cloud environment

Kowsigan MOHAN; Balasubramanie PALANISAMY

Article Details

A novel resource clustering model to develop an efficient wireless personal cloud environment

Authors:

Kowsigan MOHAN | Balasubramanie PALANISAMY

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 3, pp.2156-2169

Document Type:

Article

Publication Date:

5/2019

Document Language:

Turkish

Document ID (Org No.):

2000734013

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

In the current era, cloud computing is the major focus of distributed computing and it helps in satisfying the requirements of the business world. It provides facilities on demand under all the parameters of the computing, such as infrastructure, platform, and software, across the globe. One of the major challenges in the cloud environment is to cluster the resources and schedule the jobs among the resource clusters. Many existing approaches failed to provide an optimal solution for job scheduling due to inefficient clustering of resources. In the proposed system, a novel algorithm called resource differentiation based on equivalence node potential (RDENP) is proposed for clustering the resources in a simulated wireless personal cloud environment. The performance evaluation is done among the existing and proposed approaches; as a result, the proposed RDENP algorithm produces the optimal solution for clustering the resources, which will lead to an efficient scheduling policy in a cloud environment in the future. To take this idea forward, an optimal energy consumption algorithm is to be designed to process the jobs among the resources and to minimize the infrastructure of the cloud environment by clustering the resources virtually.

Article Details

A novel resource clustering model to develop an efficient wireless personal cloud environment

Authors: Kowsigan MOHAN | Balasubramanie PALANISAMY

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 3, pp.2156-2169

Document Type: Article

Publication Date: 5/2019

Document Language: Turkish

Document ID (Org No.): 2000734013

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Kowsigan MOHAN | Balasubramanie PALANISAMY

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 3, pp.2156-2169

Document Type:

Article

Publication Date:

5/2019

Document Language:

Turkish

Document ID (Org No.):

2000734013

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632