Research on Digital Library Based on Cloud Computing

2014 ◽  
Vol 1078 ◽  
pp. 448-451
Author(s):  
Xiao Wen Chen
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Digital Library ◽  
Digital Libraries ◽  
Information Service ◽  
Information Services ◽  
Cloud Services ◽  
Distributed Data ◽  
Distributed Data Storage ◽  
Massive Data Processing

In recent years, the development of digital libraries also encountered a lot of problems, the cloud computing was applied to digital libraries can solve the problem of information on demand and optimal scheduling of resources and transaction processing capabilities effectively, So as to achieve the purpose of improving the efficiency of resource of digital library and information security. From the digital library of cloud computing and personalized information services status in this paper, the study and found a problem about the digital library information services at this stage, let the virtualization cloud computing, the key technology of distributed data storage, massive data processing and cloud platforms used in building digital library of personalized information service with cloud platform, and deployment cloud services on the platform.

scholarly journals Towards Distributed Data Management in Fog Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Vasileios Moysiadis ◽  
Panagiotis Sarigiannidis ◽  
Ioannis Moscholios
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Large Scale ◽  
Fog Computing ◽  
Cloud Services ◽  
Smart Devices ◽  
Distributed Data ◽  
Storage Allocation ◽  
Huge Amount ◽  
Distributed Data Storage

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services in the physical proximity of mobile users. Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth. This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm. The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems. In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.

A Cloud-Oriented Reference Architecture to Digital Library Systems

2015 ◽  
pp. 466-489
Author(s):  
K. Palanivel ◽  
S. Kuppuswami
Keyword(s):  
Cloud Computing ◽  
Digital Library ◽  
Digital Libraries ◽  
Search Engines ◽  
Cloud Model ◽  
Frame Of Reference ◽  
Cloud Services ◽  
Reference Architecture ◽  
Information Retrieval Systems ◽  
Efficient Resource

Cloud computing is an emerging computing model which has evolved as a result of the maturity of underlying prerequisite technologies. There are differences in perspective as to when a set of underlying technologies becomes a “cloud” model. In order to categorize cloud computing services, and to expect some level of consistent characteristics to be associated with the services, cloud adopters need a consistent frame of reference. The Cloud Computing Reference Architecture (CCRA) defines a standard reference architecture and consistent frame of reference for comparing cloud services from different service providers when selecting and deploying cloud services to support their mission requirements. Cloud computing offers information retrieval systems, particularly digital libraries and search engines, a wide variety of options for growth and reduction of maintenance needs and encourages efficient resource use. These features are particularly attractive for digital libraries, repositories, and search engines. The dynamic and elastic provisioning features of a cloud infrastructure allow rapid growth in collection size and support a larger user base, while reducing management issues. Hence, the objective of this chapter is to investigate and design reference architecture to Digital Library Systems using cloud computing with scalability in mind. The proposed reference architecture is called as CORADLS. This architecture accelerates the rate at which library users can get easy, efficient, faster and reliable services in the digital environment. Here, the end user does not have to worry about the resource or disk space in cloud computing.

scholarly journals Enhancing Distributed Data Storage Security for Cloud Computing using AES algorithm

IJARCCE ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 752-755 ◽  
Author(s):  
Vasant S. Kakade ◽  
Akshay Kirve ◽  
Ankush Bhoir ◽  
Sagar Kadam
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Distributed Data ◽  
Distributed Data Storage ◽  
Storage Security ◽  
Aes Algorithm

A Cloud-Oriented Reference Architecture to Digital Library Systems

2014 ◽  
pp. 230-254
Author(s):  
K. Palanivel ◽  
S. Kuppuswami
Keyword(s):  
Cloud Computing ◽  
Digital Library ◽  
Digital Libraries ◽  
Search Engines ◽  
Cloud Model ◽  
Frame Of Reference ◽  
Cloud Services ◽  
Reference Architecture ◽  
Information Retrieval Systems ◽  
Efficient Resource

Cloud computing is an emerging computing model which has evolved as a result of the maturity of underlying prerequisite technologies. There are differences in perspective as to when a set of underlying technologies becomes a “cloud” model. In order to categorize cloud computing services, and to expect some level of consistent characteristics to be associated with the services, cloud adopters need a consistent frame of reference. The Cloud Computing Reference Architecture (CCRA) defines a standard reference architecture and consistent frame of reference for comparing cloud services from different service providers when selecting and deploying cloud services to support their mission requirements. Cloud computing offers information retrieval systems, particularly digital libraries and search engines, a wide variety of options for growth and reduction of maintenance needs and encourages efficient resource use. These features are particularly attractive for digital libraries, repositories, and search engines. The dynamic and elastic provisioning features of a cloud infrastructure allow rapid growth in collection size and support a larger user base, while reducing management issues. Hence, the objective of this chapter is to investigate and design reference architecture to Digital Library Systems using cloud computing with scalability in mind. The proposed reference architecture is called as CORADLS. This architecture accelerates the rate at which library users can get easy, efficient, faster and reliable services in the digital environment. Here, the end user does not have to worry about the resource or disk space in cloud computing.

Secure Distributed Data Storage in Cloud Computing

2011 ◽  
pp. 221-248 ◽  
Author(s):  
Yu Chen ◽  
Wei-Shinn Ku ◽  
Jun Feng ◽  
Pu Liu ◽  
Zhou Su
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Distributed Data ◽  
Distributed Data Storage
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