ENERGY EFFICIENT LOAD BALANCING FOR CLOUD DATA CENTER
DOI:
https://doi.org/10.22159/ajpcr.2017.v10s1.19604Keywords:
Cloud computing, Load balancing, OpenStackAbstract
Cloud computing is the latest trend in large-scale distributed computing. It provides diverse services on demand to distributive resources such as
servers, software, and databases. One of the challenging problems in cloud data centers is to manage the load of different reconfigurable virtual machines over one another. Thus, in the near future of cloud computing field, providing a mechanism for efficient resource management will be very significant. Many load balancing algorithms have been already implemented and executed to manage the resources efficiently and adequately. The objective of this paper is to analyze shortcomings of existing algorithms and implement a new algorithm which will give optimized load balancing
result.
Downloads
References
Cao J, Li K, Stojmenovic I. Optimal power allocation and load distribution for multiple heterogeneous multicore server processors across clouds and data centers. IEEE Trans Comput 2014;63(1):45-58.
Mohapatra S, Rekha KS, Mohanty S. A comparison of four popular heuristics for load balancing of virtual machines in cloud computing. Int J Comput Appl 2013;68(6):33-8.
Lamba S, Kumar D. A comparative study on load balancing algorithms with different service broker policies in cloud computing. Int J Comput Sci Inf Technol 2014;5(4):5671-7.
Abdulhussein AN, Joshi JH, Twinamatsiko AM, Lashkari AH, Sadeghi M. An Efficient Load Balancing Algorithm for virtualized Cloud Data Centers; 2014.
Kaur P, Kaur PD. Efficient and enhanced load balancing algorithms in cloud computing. Int J Grid Distrib Comput 2015;8:9-14.
Mashaly M, Kühn PJ. Load balancing in cloud-based content delivery networks using adaptive server activation/deactivation. Engineering and Technology (ICET), 2012 International Conference on IEEE; 2012.
Mahapatra S, Yuan X. Load balancing mechanisms in data center networks. The 7th International Conference Expo on Emerging Technologies for a Smarter World (CEWIT); 2010.
Singh A, Goyal P, Batra S. Anoptimized round robin scheduling algorithm for CPU scheduling. Int J Comput Electric Eng IJCEE 2010;2(7):2383-5.
Ahmed T, Singh Y. Analytic study of load balancing techniques using tool cloud analyst. Int J Eng Res Appl 2012;2:1027-30.
Rahman A, Liu X, Kong F. A survey on geographic load balancing based data center power management in the smart grid environment. IEEE Commun Surv Tutor 2014;16(1):214-33.
Shao H, Rao L, Wang Z, Liu X, Wang Z, Ren K. Optimal load balancing and energy cost management for internet data centers in deregulated electricity markets. IEEE Trans Parallel Distrib Syst 2014;25(10):2659-69.
Published
How to Cite
Issue
Section
The publication is licensed under CC By and is open access. Copyright is with author and allowed to retain publishing rights without restrictions.