The week's pick
Reseach Article
A Review of Load Balancing Technique in Public Cloud Environments using Combination of Heuristic Function and Probability Clustering
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 47 |
| Year of Publication: 2018 |
| Authors: Rahul Dongarde, Devashri Deoskar, Amit Saxena |
10.5120/ijca2018917313
|
Rahul Dongarde, Devashri Deoskar, Amit Saxena . A Review of Load Balancing Technique in Public Cloud Environments using Combination of Heuristic Function and Probability Clustering. International Journal of Computer Applications. 180, 47 ( Jun 2018), 32-34. DOI=10.5120/ijca2018917313
Abstract
The utility of public cloud environments is increases in current scenario of information technology. The performance and capacity of cloud environments enhanced the performance of information technology-based application. the major issue in cloud network is allocation of resource and execution of task. For the management of resource and task cloud computing uses load balancing technique. the load balancing technique, balance the load factor over the cloud environments. In this paper presents the review of cloud computing load balancing based on different heuristic-based function and clustering technique. the clustering technique gives the concept of dynamic load balancing. The heuristic based balancing technique used various algorithm such as genetic algorithm, particle swarm optimization and many more swarm-based algorithm.
References
- Jia Zhao, Kun Yang, Xiaohui Wei, Yan Ding, Liang Hu, and Gaochao Xu “A Heuristic Clustering-Based Task Deployment Approach for Load Balancing Using Bayes Theorem in Cloud Environment” IEEE Transactions on Parallel And Distributed Systems, VOL. 27, 2016. Pp 305-316.
- Atyaf Dhari, Khaldun I. Arif “An Efficient Load Balancing Scheme for Cloud Computing” Indian Journal of Science and Technology, Vol 10, 2014. Pp 1-8.
- C.Antony, C.Chandrasekar “A Hybrid Multi-Threaded Task Scheduling and Knapsack Load Balancing in Multiple Cloud Centers” International Journal Of Engineering And Computer Science ISSN: 2319-7242 Volume 6 Issue 2 Feb. 2017, Page No. 20324-20332.
- Liang Tong, Yong Li and Wei Gao “A Hierarchical Edge Cloud Architecture for Mobile Computing” IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications. Pp 1-9.
- Yunan Zhai, Ming Hu, and Jia Zhao “An Energy-efficient Task Scheduling Approach based on Firefly Algorithm” Journal of Residuals Science & Technology, Vol. 13, No. 8, 2016, Pp 38-384.
- Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia “Above the Clouds: A Berkeley View of Cloud Computing” 2009. Pp 1-23.
- Saurabh Kumar Garg, Steve Versteeg and Rajkumar Buyya “SMICloud: A Framework for Comparing and Ranking Cloud Services” Pp 1-9.
- Wei-Tek Tsai, Xin Sun, Janaka Balasooriya “Service-Oriented Cloud Computing Architecture” Seventh International Conference on Information Technology, IEEE, 2010. Pp 684-689.
- Saurabh Kumar Garg, Steve Versteeg, Rajkumar Buyya “A framework for ranking of cloud computing services” Future Generation Computer Systems, 2013, 1012–1023.
- Jesus Garcıa-Galana, Pablo Trinidada, Omer F. Ranab, Antonio Ruiz-Cortes “Automated Configuration Support for Infrastructure Migration to the Cloud” Preprint submitted to Future Generation Computer Systems, 2015. Pp 1-19.
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