Cloud computing is becoming one of the most escalating technologies that have got huge potentials in enterprises and
markets. Clouds can makes possible to access any applications and associated data from anywhere. Companies are able to rent resources
from cloud for storage and many other computational purposes so that their infrastructure cost can be reduced significantly. On the other
hand it can make use of company wide access to applications, based on pay-as-you-go model. Hence there is no need to take licenses for
individual products. However one of the major pitfalls in cloud computing is to optimizing the resources. Because of the uniqueness of
the model, resource allocation is performed to minimizing the costs. The other challenges of resource allocation are to fulfill the customer
demands as requirements. In this paper, various resource allocation strategies and their challenges are discussed in detail. It is supposed
that this paper will be beneficiary both cloud users and researchers in overcoming the challenges faced.
Published In:IJCSN Journal Volume 7, Issue 2
Date of Publication : April 2018
Pages : 67-73
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Tables : 01
Mukta Chaturvedi : received her M.C.A.
degree from Punjab Technical University,
Jalandhar and A level certificate course from
DOEACC, New Delhi. She is pursuing her Ph.D.
from Career Point University, Kota. Her research
interest in cloud computing. She has published a
research papers in International Journal.
Dr. Hemant Kumar Garg : received the Bachelors
degree in Computer Engineering from the
University of Amravti of Amravati, India in 1991,
and the M.Tech. Degree in Computer Science
from the BIT, Ranchi, India in 2002, and Ph.D.
degree in Computer Engineering from JNU,
Jaipur, India. In 1994, he joined the Computer
Engineering Department, Department of Technical Education,
Govt. of Rajasthan, Rajasthan State, INDIA, where he is
currently working as a Lecturer (Selection Scale). He published a
book on “Electronic Communication and Data Communication”.
Dr. Garg is a Council Member of Computer Division, Rajasthan
Chapter, Institution of Engineers, India. He also has many
publications in National and International Journals and
conferences. His areas of interests include Ad Hoc networking;
cloud Computing and its Applications.
This paper addresses the theoretic study of various
dynamic resource allocation techniques in cloud
environment. These models are classified based on
their strategies, and a discussion of their strengths
and limitations is supported by a comparison table.
Finally, research directions and findings from our
literature review are included, and hopefully they will
help in motivating future research to determine
optimal RA solutions for cloud environments. The
detail description of the techniques is summarized
and also summarizes the advantages with parameters
of the various techniques in cloud computing
environment.
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