Analysis of the Data Mining Application Based on Cloud Computing

2013 ◽  
Vol 397-400 ◽  
pp. 2426-2429
Author(s):  
Xiao Hui Li ◽  
Wei Liu ◽  
Le Le Wang
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Network Technology ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Massive Information ◽  
Data Mining Application

Cloud computing as a new network technology has been widely used in various fields, a important role of cloud computing is the storage and management for massive information data, therefore the cloud computing provides a good platform for data mining. This paper first describes simply on cloud computing, and then expounds and analyzes data mining application which based on cloud computing, finally introduces the data mining application based on cloud computing platform.

The Development of Data Mining System Based on Cloud Computing

2014 ◽  
Vol 926-930 ◽  
pp. 2280-2283
Author(s):  
Qiong Ren
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Current Data ◽  
Mining System ◽  
Computing Platform ◽  
Data Mining Algorithms ◽  
Cloud Computing Platform ◽  
Data Mining System ◽  
Process Cost ◽  
Mining Algorithms

With the increasing of input data size, process cost will be very long, for the explosive growth of the Internet data even reached the point of single machine can handle. This article mainly introduces the architecture of the concept of cloud computing and, the mainstream of the analysis of the current data mining algorithms, based on cloud computing to develop the data mining system, providing the operation feasibility of data mining in cloud computing platform, having strong guiding significance.

scholarly journals LOAD BALANCING IN CLOUD ENVIRONMENT: A REVIEW

2016 ◽  
Vol 15 (8) ◽  
pp. 6986-6990
Author(s):  
Sheenam Kamboj ◽  
Mr. Navtej Singh Ghumman
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Computing Platform ◽  
Side Load ◽  
Virtualization Technology ◽  
Cloud Computing Platform ◽  
Demand Changes

An essential role of cloud computing platform is to dynamically balance the load among the different servers in order to improve resource utilization and to avoid hotspots. Load balancing (LB) is done on both sides i.e. on provider as well as on consumer side. On provider side, load balancing is the problem of allocating virtual machines to servers at runtime. Virtual Machine need to be reassigned so that servers do not get overloaded as demand changes. On consumer side application load can be balanced which provides efficiency to the consumers. On cloud computing platform, load balancing of the entire system can be dynamically handled by  using virtualization technology through which itÂbecomes possible to remap virtual machine and physical resources according to  the change in load. However, in order to improve performance, the virtual machines have to fully utilize its resources and services by adapting to computing environment dynamically. The load balancing with proper allocation of resources must be guaranteed in order to improve resource utility.

Cloud libraries

2015 ◽  
Vol 32 (8) ◽  
pp. 19-23 ◽  
Author(s):  
Mayank Yuvaraj
Keyword(s):  
Cloud Computing ◽  
Design Methodology ◽  
Theoretical Foundation ◽  
Literature Survey ◽  
Extensive Literature ◽  
Content Type ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Theoretical Foundations

Purpose – The present paper is an attempt to describe in detail the concept of Cloud computing in conjunction with libraries. It describes in detail about Cloud libraries, transition of libraries toward Cloud, its need, features, Cloud library components, types of Cloud libraries, Cloud library infrastructure, key players as well as role of Cloud librarians. Design/methodology/approach – Based on an extensive literature survey, the basic conceptions of Cloud libraries were developed. Findings – Various concepts of Cloud libraries have been proposed in the literature that will be instrumental in understanding the theoretical foundations of Cloud libraries. Originality/value – Till date no any theoretical foundation exists on the concept of Cloud libraries. The paper is one of the first attempts to give shape to the libraries based on Cloud computing platform.

Discussion about Big Data Mining Based on Hadoop

2013 ◽  
Vol 380-384 ◽  
pp. 2063-2066
Author(s):  
Zhong Hua Deng ◽  
Bing Fan ◽  
Ying Jun Lu ◽  
Zhi Fang Li
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Computing Platform ◽  
Big Data Mining ◽  
Cloud Computing Platform ◽  
Technical Framework

As a Cloud computing platform, Hadoop has huge advantages in Data mining. The main aspects of Hadoop for data mining are discussed. A technical framework for big data mining based on Hadoop is analyzed.

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