A QoS optimization system for complex data cross-domain request based on neural blockchain structure

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A QoS optimization system for complex data cross-domain request based on neural blockchain structure Lianbing Deng1,2 • Daming Li1,3 • Zhiming Cai3 • Xiang Yao1 Received: 19 October 2018 / Accepted: 23 January 2019 Ó Springer-Verlag London Ltd., part of Springer Nature 2019

Abstract Various computing environments are constantly emerging which are using different technology platforms and security mechanisms from each other. The development of network technology makes cross-domain access between various systems necessary, which requires seamless information sharing and data exchange between systems, thus eliminating the phenomenon of information islands. With its unique consensus mechanism and compatible encryption algorithms, it has gradually attracted attention in various fields. Many people believe that blockchain technology is a revolution in Internet technology in the future, which is a huge innovation in information infrastructure technology as well. In order to ensure a high QoS of the data grid, the system needs to overcome many unstable factors of the network and the grid nodes. Resource (capability) reservation, copy deployment, buffer mechanism, parallel data transfer, and data storage and recovery are the main means to solve such problems. Above all, this paper proposed a QoS optimization system for complex data crossdomain request based on neural blockchain structure. Experimental results show that the proposed method has higher robustness and efficiency. Keywords Neural network  Blockchain  Network structure  Cross-domain request for complex data

1 Introduction From the earliest emergence of the concept of data center to the rapid development and widespread promotion, it has undergone several technological changes. Every revolution in data has given the data center a new impetus and new demands and challenges. The earliest data centers appeared in the early 1960s, and they were mainly used to store mainframes. Because of the high cost and complicated operation and maintenance of the system, the data center at that time was mainly used for military or scientific purposes. With the rapid development of information & Daming Li [email protected] 1

The Post-Doctoral Research Center, Zhuhai Da Hengqin Science and Technology Development Co., Ltd, Hengqin, China

2

Huazhong University of Science and Technology, Wuhan, China

3

Macau Big Data Research Centre for Urban Governance, City University of Macau, Macau, China

technology, data centers have gradually become popular. Since then, governments, enterprises, and organizations have begun to build their own data centers and provide various information services to internal or public [1, 2]. The demand for various information services has increased rapidly, and the size of data centers has continued to expand. In response to these demands, the performance of various hardware is rapidly increasing, and virtualization technology is beginning to be widely adopted in data centers. The technology at the t