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General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol.4(4): 383-388 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.441

A Unified Architecture for Optimal Resource Utilization in a Heterogeneous Cloud Environment

L. Arockiam and A. Stanislas
Abstract—Cloud computing is the latest effort in the field of computer technology in delivering computing resources as a service. It is a paradigm shift taken from computing as a product that is to be purchased to computing as a service that is delivered to consumers as ‘pay-per-use’ over the internet on clouds. The biggest challenge that the present business world faces in cloud computing is the lack of a single and standard architectural method that can meet the requirements of an enterprise cloud approach. In order to address this challenge, we present an architectural framework with an algorithm which enhances scalability in a unified cloud environment. It enables the service providers to manage and to allocate the resources according to the demand of the users. This paper provides a better understanding of the architectural designs for scalability in cloud computing, allocates the resources optimally to reduce the cost and maintains customer-provider relationship.

Index Terms—Scalability, unified architecture, cloud broker, service-allocator, service-provider.

The authors are with the Department of Computer Science, St. Joseph’s College (Autonomous), Tiruchirappalli (e-mail: larockiam@yahoo.co.in, stany_a@yahoo.com).

[PDF]

Cite: L. Arockiam and A. Stanislas, "A Unified Architecture for Optimal Resource Utilization in a Heterogeneous Cloud Environment," International Journal of Machine Learning and Computing vol.4, no. 4, pp. 383-388, 2014.

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