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The technology uses TCP / IP as the basic means of communication, adding a custom data communication protocol, through the integration of distributed storage scheduling ideas, multiple FPGA development board simulation into a large number of storage devices, through the unified mapping of the target data protocol Processing, to achieve data security, stable and reliable cloud storage, and because...
Data outsourcing has become quite popular in recent years. While the rapid development of cloud storage service, it brings about many new security challenges. One of the biggest concerns with cloud data storage is that of data integrity at untrusted cloud servers. For example, when individual users store important data files in cloud servers, the data files may be damaged or corrupted because of cloud...
Social network users are connected based on shared interests, ideas, association with different groups, etc. Common social networks such as Facebook and Twitter have hundreds of millions or even billions of users scattered all around the world sharing interconnected data. Users demand low latency access to not only their own data but also their friends' data. However, social network service providers...
The avionics system is an important part of modern fighters, and the analysis and processing of large data generated by the avionics system can provide some guidance for the pilot's decision-making. After analyzing the existing distributed framework, a multi-platform avionics data system is designed and implemented to solve the problem that heterogeneous real-time data generated by a large number...
Online social networks make it more convenient for people to find and communicate with other people based on shared interests, ideas, association with different groups, etc. Common social networks such as Facebook and Twitter have hundreds of millions or even billions of users scattered all around the world sharing interconnected data. Users demand low latency access to not only their own data but...
Data reliability and storage costs are two primary concerns for current Cloud storage systems. To ensure data reliability, the widely used multi-replica (typically three) replication strategy in current Clouds incurs a huge extra storage consumption, resulting in a huge storage cost for data-intensive applications in the Cloud in particular. In order to reduce the Cloud storage consumption while meeting...
Smart grid has become the most complicated interconnected system in human society. With the advanced sensor infrastructure, the smart grid will continuously generate unprecedented data volume. This paper gives an overview discussion of the big data management & analysis in the smart grid. Firstly, this paper identifies the basic requirements of the big data analysis in the smart grid. Secondly,...
The powerful data storage and data processing abilities of cloud computing (CC) and the ubiquitous data gathering capability of wireless sensor network (WSN) complement each other in CC-WSN integration, which is attracting growing interest from both academia and industry. However, job scheduling for CC integrated with WSN is a critical and unexplored topic. To fill this gap, this paper first analyzes...
Cloud computing has been flourishing in past years because of its ability to provide users with on-demand, flexible, reliable, and low-cost services. With more and more cloud applications being available, data security protection becomes an important issue to the cloud. In order to ensure data security in cloud data storage, a novel triple encryption scheme is proposed in this paper, which combines...
Nowadays, large-scale Cloud-based applications have put forward higher demand for storage ability of data centres. Data in the Cloud need to be stored with high efficiency and cost effectiveness while meeting the requirement of reliability. While in current Cloud systems, typical 3-replicas data replication strategies are applied for data reliability, in this paper we propose a novel cost-effective...
Many scientific workflows are data intensive where a large volume of intermediate data is generated during their execution. Some valuable intermediate data need to be stored for sharing or reuse. Traditionally, they are selectively stored according to the system storage capacity, determined manually. As doing science on cloud has become popular nowadays, more intermediate data can be stored in scientific...
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