Analysis on Non-Center Cloud Storage Architecture of Gluster

2014 ◽  
Vol 587-589 ◽  
pp. 2346-2349 ◽  
Author(s):  
Xiao Yang Liang
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
High Performance ◽  
Storage Systems ◽  
Low Cost ◽  
Storage System ◽  
Storage Device ◽  
Virtual Storage ◽  
Storage Resource ◽  
Technical Architecture

Cloud computing is based on cloud storage. Cloud storage through a variety of technical storage device abstraction into virtual storage resource pool. Compared with the traditional way of storage, it has the scalability and high performance, low cost and other advantages. Different cloud storage systems have different technical architecture and characteristics. From the perspective of metadata if there is a center node, with and without the typical cloud storage system to do a simple introduction and mainly for open source without Gluster center system are analyzed in focus.

Data Storage Technology and its Development Based on Cloud Computing

2013 ◽  
Vol 756-759 ◽  
pp. 1275-1279
Author(s):  
Lin Na Huang ◽  
Feng Hua Liu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
File System ◽  
Storage System ◽  
Distributed File System ◽  
Cloud Data ◽  
Storage Technology ◽  
Cloud Data Storage

Cloud storage of high performance is the basic condition for cloud computing. This article introduces the concept and advantage of cloud storage, discusses the infrastructure of cloud storage system as well as the architecture of cloud data storage, researches the details about the design of Distributed File System within cloud data storage, at the same time, puts forward different developing strategies for the enterprises according to the different roles that the enterprises are acting as during the developing process of cloud computing.

High-Throughput Encryption for Cloud Computing Storage System

2015 ◽  
pp. 2274-2287
Author(s):  
Yaser Jararweh ◽  
Ola Al-Sharqawi ◽  
Nawaf Abdulla ◽  
Lo'ai Tawalbeh ◽  
Mohammad Alhammouri
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
Storage System ◽  
Massive Data ◽  
Efficient Manner ◽  
Storage Security ◽  
Cloud Data ◽  
Cloud Data Storage

In recent years Cloud computing has become the infrastructure which small and medium-sized businesses are increasingly adopting for their IT and computational needs. It provides a platform for high performance and throughput oriented computing, and massive data storage. Subsequently, novel tools and technologies are needed to handle this new infrastructure. One of the biggest challenges in this evolving field is Cloud storage security, and accordingly we propose new optimized techniques based on encryption process to achieve better storage system security. This paper proposes a symmetric block algorithm (CHiS-256) to encrypt Cloud data in efficient manner. Also, this paper presents a novel partially encrypted metadata-based data storage. The (CHiS-256) cipher is implemented as part of the Cloud data storage service to offer a secure, high-performance and throughput Cloud storage system. The results of our proposed algorithm are promising and show the methods to be advantageous in Cloud massive data storage and access applications.

High-Throughput Encryption for Cloud Computing Storage System

2014 ◽  
Vol 4 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Yaser Jararweh ◽  
Ola Al-Sharqawi ◽  
Nawaf Abdulla ◽  
Lo'ai Tawalbeh ◽  
Mohammad Alhammouri
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
Storage System ◽  
Massive Data ◽  
Efficient Manner ◽  
Cloud Data ◽  
Block Algorithm ◽  
Cloud Data Storage

In recent years Cloud computing has become the infrastructure which small and medium-sized businesses are increasingly adopting for their IT and computational needs. It provides a platform for high performance and throughput oriented computing, and massive data storage. Subsequently, novel tools and technologies are needed to handle this new infrastructure. One of the biggest challenges in this evolving field is Cloud storage security, and accordingly we propose new optimized techniques based on encryption process to achieve better storage system security. This paper proposes a symmetric block algorithm (CHiS-256) to encrypt Cloud data in efficient manner. Also, this paper presents a novel partially encrypted metadata-based data storage. The (CHiS-256) cipher is implemented as part of the Cloud data storage service to offer a secure, high-performance and throughput Cloud storage system. The results of our proposed algorithm are promising and show the methods to be advantageous in Cloud massive data storage and access applications.

scholarly journals A Trusted-based Cloud Computing Virtual Storage System and Key Technologies

2015 ◽  
Vol 10 (4) ◽  
pp. 579 ◽  
Author(s):  
Kehe Wu ◽  
Long Chen ◽  
Yi Li
Keyword(s):  
Cloud Computing ◽  
Data Protection ◽  
Trusted Computing ◽  
Storage System ◽  
Storage Device ◽  
Relevant Research ◽  
Virtual Storage ◽  
Key Technologies ◽  
User Data ◽  
Block Storage

With the popularity of Cloud Computing, people become incresingly concern about security problems, especially the data security, which has become the biggest obstacle for the development of Cloud Computing. In order to protect confidentiality and integrity of user data in Cloud Computing, this paper firstly studies the relevant research works in fields of trusted computing and Cloud Computing data protection and secondly introduces the concept of trusted into Cloud Computing data protection, presents the concept of Trusted Virtual Block Storage Device (TVBSD) and designs the Trusted Cloud Computing Virtual Storage System (TCCVSS). And then, the key technologies such as isolation, block device encryption and two-way authentication are expounded in this paper. Finally, the result of experiments shows that the system and the related technologies can not only effectively ensure the security of user data, but also control the consequent performance overhead in a proper range.

A New Hybrid Storage System Base on Openstack

2014 ◽  
Vol 556-562 ◽  
pp. 5371-5376
Author(s):  
Ding Wei Wu ◽  
Qiang Wu ◽  
Xi Cheng Fu ◽  
Zhi Zhong Ye ◽  
Jia Lun Lin
Keyword(s):  
Big Data ◽  
Data Storage ◽  
High Performance ◽  
File System ◽  
Storage Systems ◽  
Low Cost ◽  
Storage System ◽  
Small Data ◽  
Hybrid Storage ◽  
Hybrid Storage System

In recent years, hybrid storage has gradually become a hotspot in the research of data storage owing to its high-performance and low cost. An OpenStack-based hybrid storage system is presented in this paper. According to the characteristics, the data is divided into small data, big data and temporary data in this hybrid storage system; meanwhile a storage strategy, combining database storage system, the virtual file system and servers file system, is designed. In the application of iCampus project, this proposed hybrid storage system shows better performance and higher efficiency than the traditional single storage systems.

Effect of Rack-Aware Placement in Cloud Storage System

2011 ◽  
Vol 121-126 ◽  
pp. 4446-4450
Author(s):  
Zhen Huang ◽  
Yuan Yuan ◽  
Yu Xing Peng
Keyword(s):  
Cloud Computing ◽  
Markov Model ◽  
Cloud Storage ◽  
Storage Systems ◽  
Rapid Development ◽  
Storage System ◽  
Data Reliability ◽  
Correlated Failures ◽  
Industry Community

We are witnessing the rapid development of Cloud Computing techniques and services. Cloud Storage is widely applied in nowadays research and industry community. One of the most hottest topic in cloud storage is the data reliability. To ensure reliability under the condition of inexpensive hardware, several techniques are discussed and applied. We simplify and analyze the data reliability by a markov model, which includes the discussion of correlated failures and rack-aware placement. Our model aims to tell the effect of rack-aware placement for cloud storage systems.

A facile new modified method for the preparation of a new cerium-doped lanthanium cuperate perovskite energy storage system using nanotechnology

2021 ◽  
Author(s):  
Mervette El Batouti ◽  
H. A. Fetouh
Keyword(s):  
Solar Cells ◽  
Energy Storage ◽  
Dielectric Loss ◽  
Storage Systems ◽  
Low Cost ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Ponds ◽  
Modified Method ◽  
Ferroelectric Perovskite

New ferroelectric perovskite sample: excellent dielectric, negligible dielectric loss for energy storage systems such as solar cells, solar ponds, and thermal collectors has been prepared at low cost using nanotechnology.

A New Approach in Cloud Computing User Authentication

Web Services ◽  
2019 ◽  
pp. 1393-1410
Author(s):  
Alaa Hussein Al-Hamami ◽  
Rafal A. Al-Khashab
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
User Authentication ◽  
Low Cost ◽  
Remote Access ◽  
Security And Privacy ◽  
Main Concern ◽  
Security Measures ◽  
User Privacy ◽  
Is Security

Cloud computing provides the full scalability, reliability, high performance and relatively low cost feasible solution as compared to dedicated infrastructure. These features make cloud computing more attractive to users and intruders. It needs more and complex security measures to protect user privacy and data centers. The main concern in this chapter is security, privacy and trust. This chapter will give a discussion and a suggestion for using cloud computing to preserve security and privacy. The malicious hacker and other threats are considering the major cause of leaking security of the personal cloud due to centralized location and remote accesses to the cloud. According to attacks, a centralized location can be easier target rather than several goals and remote access is insecure technologies which offer a boundary of options for attackers to infiltrate enterprises. The biggest concern is attackers that will use the remote connection as a jumping point to get deeper into an organization.

A Cloud-Aware Distributed Object Storage System to Retrieve Large Data via HTML5-Enabled Web Browsers

2016 ◽  
pp. 25-45 ◽  
Author(s):  
Ahmet Artu Yıldırım ◽  
Dan Watson
Keyword(s):  
High Performance ◽  
Storage Systems ◽  
Storage System ◽  
Large Data ◽  
Web Browsers ◽  
Cloud Infrastructure ◽  
Scalable Storage ◽  
Distributed Object ◽  
Object Storage ◽  
Restful Web Service

Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, It's seen that distributed object storage systems play an important role at back-end in achieving this success. In this chapter, overall information of the current state-of –the-art storage systems are given which are used for reliable, high performance and scalable storage needs in data centers and cloud. Then, an experimental distributed object storage system (CADOS) is introduced for retrieving large data, such as hundreds of megabytes, efficiently through HTML5-enabled web browsers over big data – terabytes of data – in cloud infrastructure. The objective of the system is to minimize latency and propose a scalable storage system on the cloud using a thin RESTful web service and modern HTML5 capabilities.

Sign in / Sign up

Export Citation Format

Share Document