An Analysis on Effective Classification Method for Massive Data in Cloud Computing Environment

2014 ◽  
Vol 513-517 ◽  
pp. 2315-2319
Author(s):  
Qian Wang
Keyword(s):  
Cloud Computing ◽  
Optimization Problem ◽  
Mining Area ◽  
Automatic Classification ◽  
Massive Data ◽  
Multi Objective Optimization ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Network Information ◽  
Simulation And Experiment

The network information in cloud computing environment is in the format of massive data with high dimension features. In order to increase the accuracy of massive data automatic classification, this paper proposes a relevant massive data classification algorithm. This algorithm first transfers the features of the massive data in the cloud computing environment into one multi-objective optimization problem. In the specific mining area, the algorithm associatively classifies the massive data information and the selective standard is the high accuracy. The simulation and experiment test the performance of the algorithm which shows the algorithm can effectively classify the features of the massive data in the cloud computing. The algorithm can increase the accuracy and efficiency of the automatic classification which is an effective method for massive data.

scholarly journals Research on Information Security in Cloud Computing Environment

2016 ◽  
Vol 3 (1) ◽  
pp. 42
Author(s):  
Quanhui Ren ◽  
Hui Gao
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Reference Model ◽  
Rapid Development ◽  
Computing Environment ◽  
Computing Technology ◽  
Cloud Computing Environment ◽  
Network Information ◽  
Security Issues ◽  
Security Problem

<span style="color: black; line-height: 115%; font-family: 'Calibri','sans-serif'; font-size: 12pt; mso-fareast-font-family: Calibri; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">In order to adapt to rapid development of network information technology, the application of cloud computing technology is increasingly widespread. However, the security problem in the cloud computing environment has not been effectively resolved. Currently, the research on this problem is getting more attention from the industry. In order to further investigate the information security issues of cloud computing environment, this article not only discusses the basic concept, characteristics and service model of cloud computing, but also focuses on the cloud computing security reference model and cloud cube model. In this paper, the information security problems and concrete solutions in the former cloud computing environment are discussed from different aspects.</span>

scholarly journals Proposed Proactive Digital Forensic Approach for Cloud Computing Environment

2018 ◽  
Vol 7 (4.15) ◽  
pp. 12
Author(s):  
Ganthan Narayana Samy ◽  
Nurazean Maarop ◽  
Doris Hooi-Ten Wong ◽  
Fiza Abdul Rahim ◽  
Noor Hafizah Hassan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Digital Forensics ◽  
Massive Data ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Digital Forensic ◽  
Multi Stakeholder

There are many challenges for the digital forensic process in the cloud computing due to the distinguished features of the cloud computing environment. Many of well-known digital forensic methods and tools are not suitable for cloud computing environment. The multi-tenancy, multi-stakeholder, Internet-based, dynamics expendability, and massive data, logs and datasets are examples of the cloud computing environment features that make conducting digital forensics in the cloud computing environment a very difficult task. Therefore, there is a need to develop an appropriate digital forensic approach for cloud computing environment. Thus, this paper proposed a proactive digital forensic approach for cloud computing environment. 

Simulation on Data Energy-Efficient Scheduling Model of Cloud Computing

2014 ◽  
Vol 644-650 ◽  
pp. 1822-1825
Author(s):  
Hong Liang Guo ◽  
He Long Yu
Keyword(s):  
Cloud Computing ◽  
Massive Data ◽  
Computing Environment ◽  
Business Systems ◽  
Cloud Computing Environment ◽  
Scheduling Model ◽  
The Face ◽  
Computing Environments ◽  
Massive Data Processing ◽  
Energy Efficient Scheduling

Under the cloud computing environment, massive data is widely used in many fields. In the face of cloud computing environments with massive data center, an efficient scheduling model need to be established. In order to solve massive data processing inefficiencies, redundant business systems and data silos and other issues, this paper proposes a scheduling model of migrating technology based on efficiency optimization virtual machine to meet the massive data efficiently scheduling requirements. Experimental results show that the improved algorithm can effectively advance the efficiency of cloud computing massive data scheduling, with high feasibility and applicability.

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