信息物理系统数据格式交换性能研究
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摘要
信息物理系统(Cyber Physical System,CPS)作为下一代智能感知系统,有效的将虚拟世界与物理世界进行融合,实现计算、通信、控制协同工作。CPS技术构成包括多方面,涉及军工、消防、交通、医疗等各大领域。由于CPS各节点间的数据传输存在规模性、动态性、异构性,选择一种合适的数据交换格式是提高系统传输效率的关键。目前数据间的交换多使用文本格式,针对XML、JSON的数据传输方式,其传输格式复杂,压缩文件体积较大,效率较低;相比较,Google推出的Protocol Buffer二进制传输格式在传输时效方面更具优势。本文主要以异构网关中不同格式的数据转换性能为研究重点,通过不同传输格式传输时效性的对比,并采用具有优势的Protocol Buffer方式对CPS系统数据进行封解包。
The Cyber Physical System(CPS) is a new generation intelligent system that integrates the virtual world with the physical world to achieve computing,communication and control. The GPS technical composition is related to military,fire,traffic,medical care and other major areas. The data transmission between CPS nodes is characterized by mass scale, dynamics and heterogeneity,so the key to improve the transmission efficiency of the system is to choose a suitable data exchange format. The current data exchange is generally in text format. The transmission format of XML, JSON is complex and relatively inefficient, and the compressed files are larger. In contrast, the binary transmission format Protocol Buffer introduced by Google performs better in transmission efficiency. In this paper,we mainly focus on the data conversion performance of different formats in heterogeneous gateways. By comparing the efficiency between different transmission formats,the more advantageous Protocol Buffer is employed to encapsulate and unpack the CPS system data.
The Cyber Physical System(CPS) is a new generation intelligent system that integrates the virtual world with the physical world to achieve computing,communication and control. The GPS technical composition is related to military,fire,traffic,medical care and other major areas. The data transmission between CPS nodes is characterized by mass scale, dynamics and heterogeneity,so the key to improve the transmission efficiency of the system is to choose a suitable data exchange format. The current data exchange is generally in text format. The transmission format of XML, JSON is complex and relatively inefficient, and the compressed files are larger. In contrast, the binary transmission format Protocol Buffer introduced by Google performs better in transmission efficiency. In this paper,we mainly focus on the data conversion performance of different formats in heterogeneous gateways. By comparing the efficiency between different transmission formats,the more advantageous Protocol Buffer is employed to encapsulate and unpack the CPS system data.
引文
[1] 王少林,李祥明,李永刚等. 基于Protocol Buffer的航天测控数据交换模式研究[J]. 遥测遥控,2014,33(4):55-60.
[2] 张涛,黄强,毛磊雅等. 一个基于JSON的对象序列化算法[J]. 计算机工程与应用,2007,43(15):98-133.
[3] 王凯,纪筱鹏. 基于 Protocol Buffer的压缩算法在智能移动系统中的研究与实现[D]. 中国海洋大学,2015.
[4] 田源,潘晨光,丁杰. Protocol Buffer在即时通讯系统中的应用研究[J]. 现代电子技术,2014,37(5):32-38.
[5] 陈玮,贾宗璞. 利用JSON降低XML数据冗余的研究[J]. 计算机应用与软件,2012,29(9):188-206.
[6] 殷昊,沈奇威,王纯. Protobuf在Android企业云通讯录中的应用[J]. 电信科学,2012,33(9):148-151.
[7] 黎作鹏,张天驰,张菁. 信息物理融合系统(CPS)研究综述[J]. 计算机科学,2011,38(9):25-31.
[8] Kewei Li,Qingwei Liu,Furong Wang,et al. Joint Optimal Congestion Control and Channel Assignment for Multi-Radio Multi-Channel Wireless Networks in Cyber-Physical Systems[J]. Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing,2009,27(1):456-460
[9] Jay Lee,Bohua Qiu. Industrial Big Data The revolutionary transformation and value creation in INDUSTRY 4.0 Era[M]. China Machine Press,2015.
[10] 高静,段会川.JSON序列化机制与传输效率研究[D]. 山东师范大学,2011.
[2] 张涛,黄强,毛磊雅等. 一个基于JSON的对象序列化算法[J]. 计算机工程与应用,2007,43(15):98-133.
[3] 王凯,纪筱鹏. 基于 Protocol Buffer的压缩算法在智能移动系统中的研究与实现[D]. 中国海洋大学,2015.
[4] 田源,潘晨光,丁杰. Protocol Buffer在即时通讯系统中的应用研究[J]. 现代电子技术,2014,37(5):32-38.
[5] 陈玮,贾宗璞. 利用JSON降低XML数据冗余的研究[J]. 计算机应用与软件,2012,29(9):188-206.
[6] 殷昊,沈奇威,王纯. Protobuf在Android企业云通讯录中的应用[J]. 电信科学,2012,33(9):148-151.
[7] 黎作鹏,张天驰,张菁. 信息物理融合系统(CPS)研究综述[J]. 计算机科学,2011,38(9):25-31.
[8] Kewei Li,Qingwei Liu,Furong Wang,et al. Joint Optimal Congestion Control and Channel Assignment for Multi-Radio Multi-Channel Wireless Networks in Cyber-Physical Systems[J]. Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing,2009,27(1):456-460
[9] Jay Lee,Bohua Qiu. Industrial Big Data The revolutionary transformation and value creation in INDUSTRY 4.0 Era[M]. China Machine Press,2015.
[10] 高静,段会川.JSON序列化机制与传输效率研究[D]. 山东师范大学,2011.