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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(1): 31-38 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.382

A Survey on Resource Allocation and Monitoring in Cloud Computing

Mohd Hairy Mohamaddiah, Azizol Abdullah, Shamala Subramaniam, and Masnida Hussin
Abstract—The cloud provider plays a major role especially providing resources such as computing power for the cloud subscriber to deploy their applications on multiple platforms anywhere; anytime. Hence the cloud users still having problem for resource management in receiving the guaranteed computing resources on time. This will impact the service time and the service level agreements for various users in multiple applications. Therefore there is a need for a new resolution to resolve this problem. This survey paper conducts a study in resource allocation and monitoring in the cloud computing environment. We describe cloud computing and its properties, research issues in resource management mainly in resource allocation and monitoring and finally solutions approach for resource allocation and monitoring. It is believed that this paper would benefit both cloud users and researchers for further knowledge on resource management in cloud computing.

Index Terms—Resource allocation, resource monitoring, cloud computing, resource management.

The authors are with the Department of Communication Technology and Network, Faculty of Computer Science and Information Technology,University Putra Malaysia, 43400 UPM Serdang Selangor Malaysia (Corresponding author: Azizol Abdullah; e-mail: kelatedotcom@gmail.com, {azizol, shamala, masnida}@fsktm.upm.edu.my).

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Cite:Mohd Hairy Mohamaddiah, Azizol Abdullah, Shamala Subramaniam, and Masnida Hussin, "A Survey on Resource Allocation and Monitoring in Cloud Computing," International Journal of Machine Learning and Computing vol.4, no. 1, pp. 31-38, 2014.

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