Design and Implementation of Big Data Multimedia Fusion Platform Based on Cloud Computing

At present, the facial recognition is largely using in the criminal investigation for the identification of suspects, the information from the informants, however, is very hard to obtain the main feature and to draw it accurately because of the affection of mood, light, visual differences and so on. However, with some computer technology, combining the resource from big data and cloud computing platform, the success rate of the search and recognition could be greatly improved. Therefore this article will bring out a facial drawing system based on big data and cloud computing platform.

Download Full-text

Design and implementation of endogenous security container based on union file system

Journal of Physics Conference Series ◽

10.1088/1742-6596/2078/1/012080 ◽

2021 ◽

Vol 2078 (1) ◽

pp. 012080

Author(s):

Fukang Xing ◽

Zheng Zhang ◽

Bolin Ma ◽

Bingzheng Li

Keyword(s):

Cloud Computing ◽

Big Data ◽

Fault Tolerance ◽

Data Processing ◽

File System ◽

Experimental Results ◽

Computing Environment ◽

Big Data Processing ◽

Cloud Computing Environment ◽

Design And Implementation

Abstract In order to solve the increasing attacks on container file system and the IO errors of containers in big data processing scenarios in cloud computing environment, a scheme based on the idea of heterogeneous redundancy in endogenous security and transformation of container union file system was proposed to improve the security and fault tolerance of containers. Based on the above scheme, experiments are carried out on Docker, the most popular container technology, and OverlayFS, the most representative union file system. The experimental results show that this scheme can improve the security and fault tolerance of containers on the premise of ensuring availability, and realize the endogenous security of containers.

Download Full-text

Design and Implementation of Storage System Based on Big Data

MATEC Web of Conferences ◽

10.1051/matecconf/201822801012 ◽

2018 ◽

Vol 228 ◽

pp. 01012

Author(s):

Biao Wan

Keyword(s):

Cloud Computing ◽

Big Data ◽

Cloud Storage ◽

Storage System ◽

Massive Data ◽

Storage Model ◽

Design And Implementation ◽

The Times ◽

Storage Technologies ◽

And Storage

In the era of big data, the storage of massive data has become an important issue that enterprises need to solve. However, the existing storage model hinders the pace of the times, and new storage technologies and storage models that adapt to the development of the times must be studied. This paper first summarizes and summarizes the problems faced by Big Data, then proposes and analyzes popular cloud storage and cloud computing for storage problems, discusses its structure and models, introduces such technologies, and will lead the development of the times.

Download Full-text

Challenges and Cloud Computing Environments Towards Big Data

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset207277 ◽

2014 ◽

pp. 203-208

Author(s):

Kiran Kumar S V N Madupu

Keyword(s):

Data Mining ◽

Cloud Computing ◽

Big Data ◽

Technology Development ◽

Computing Environments ◽

Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

Download Full-text

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i7.114 ◽

2017 ◽

Vol 7 (7) ◽

pp. 137

Author(s):

. Monika ◽

Pardeep Kumar ◽

Sanjay Tyagi

Keyword(s):

Cloud Computing ◽

Big Data ◽

Large Data ◽

Workflow Scheduling ◽

Cloud Environment ◽

Computing Environment ◽

Scientific Application ◽

Cloud Computing Environment ◽

Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

Download Full-text

Issues in security and privacy of big data

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i12.482 ◽

2018 ◽

Vol 7 (12) ◽

pp. 1

Author(s):

Shaveta Bhatia

Keyword(s):

Cloud Computing ◽

Big Data ◽

Approximate Method ◽

Biomedical Research ◽

Cyber Security ◽

Data Science ◽

Third Party ◽

Security And Privacy ◽

Security Threats ◽

The Third

The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity. It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

Download Full-text