Downloads: 112 | Views: 266
Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014 | Popularity: 6.7 / 10
A Survey on an Optimum Load Balancing for Large Data on Cloud Using Machine Learning
Shailesh B Galande, Sachin Patil
Abstract: Bulky Data denotes to the huge volumes of data gathered since ages which is tedious to examine and handle using common database management tool. So we have to implement large data with data mining using linear programming or machine learning. However user can perform operation at dynamically on cloud computing. These concepts not only implement data mining operation on cloud but also perform load balancing operation. With cloud data services, it is common place for data to be not only stored in the cloud, but also to be shared across multiple users. This system of Cloud storage enables loading of data in the cloud servers efficiently and allows the user to tackle with the data without any difficulty of the resources. In the previous system, the data is deposited in the cloud using active data operation with a single cloud service provider. The cost and the Quality of service provided to the user are limited as provided by CSP. In this paper, the partitioning method is anticipated for the data repository which stores data on multiple CSPs, ensuring data security by partitioning the data which avoids the local copy at the client side. This method provides and guarantees high cloud repository integrity, improved error localization and easy identication of misbehaving server. To attain this, mobile data integrity checking concept and partition allocation using linear programming is implemented to improve the performance of cloud storage.
Keywords: Bulky Data, Machine Learning, CSPs, QoS, Cloud computing, Load balancing
Edition: Volume 3 Issue 12, December 2014
Pages: 1423 - 1426
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 5 | Weekly Hits: ⮙4 | Monthly Hits: ⮙4
Analysis Study Research Paper, Computer Science & Engineering, India, Volume 13 Issue 1, January 2024
Pages: 516 - 519I-Vote Android Application for Internet-Voting
Rahul Kumar, Hima Saxena, Dr. Suman Sharma
Downloads: 190 | Weekly Hits: ⮙6 | Monthly Hits: ⮙6
Survey Paper, Computer Science & Engineering, India, Volume 7 Issue 1, January 2018
Pages: 81 - 84Novel Approach to Virtual Machine Migration In Cloud Computing Environment - A Survey
Priyanka H, Dr. Mary Cherian
Downloads: 0
Research Paper, Computer Science & Engineering, India, Volume 13 Issue 9, September 2024
Pages: 1075 - 1080Improving Health Information Security in Mobile Cloud Computing with Blockchain and Modular Encryption Techniques
Vikasa Bheemashankara Pateela, K Rahul Krishna, Dr. Krishna Kumar P R, Triveni N
Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Review Papers, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022
Pages: 1007 - 1011Cloud Computing in Science and Technology: A Review
Rupinder Kaur
Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Proposals or Synopsis, Computer Science & Engineering, India, Volume 11 Issue 9, September 2022
Pages: 837 - 842An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing Using Deep Learning
Bharathi K.