China Huayi Broadcasting Corporation

Fuzhou, China

China Huayi Broadcasting Corporation

Fuzhou, China

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Zhou J.,leu | Jiao G.,leu | Zhang X.,China Huayi Broadcasting Corporation
Energy Education Science and Technology Part A: Energy Science and Research | Year: 2014

Aimed at the phenomenon of the leakage from the hole of high pressure buried gas pipeline,the simulation of buried gas pipeline pinhole leakage heat absorption rate and stationary and transient temperature field is simulated. Using the finite element analysis software ANSYS Workbench 14.0 to simulation verification the special frozen soil caused by gas release. The results show that the natural gas pipeline pinhole leakage can lead to frozen soil in a few times. At beginning the frozen soil’s curtain increase rapidly, with the time going the curtain increase slowly until transient. © Sila Science. All rights reserved.


Jiao G.,leu | Zhou J.,leu | Zhu T.,China Huayi Broadcasting Corporation | Zhao Z.,leu
Energy Education Science and Technology Part A: Energy Science and Research | Year: 2014

Aimed at the special frozen soil caused by nature gas pipeline leakage excavation engineering requirements, choosing water jet to excavation the special soil. Using fluid mechanics to research on the principle of water jet cutting of frozen soil. And though the water jet cutting of different properties of frozen soil, analysis the cutting effect influence of pumping pressure, water jet traverse speed, jet distance, cutting angle and frozen soil moisture content. The experiment shows that the depth of cutting is in proportion to water jet drive pumping pressure, the water jet traverse speed is faster the depth of cutting is lighter, with the water jet traverse speed raising there is a maximum cutting area, if the cutting area is maximum the water jet traverse speed is the best. If the jet distance is 2mm~3mm the cutting effect is the best. The cutting angle is in proportion to the depth of cutting, if the cutting angle is 90°the depth of cutting is deepest. The depth of cutting is decreasing with the frozen soil moisture content increasing. © Sila Science. All Rights Reserved.


Fan P.,China HuaYi Broadcasting Corporation
Proceedings - 2014 Asia-Pacific Services Computing Conference, APSCC 2014 | Year: 2014

Nowadays, more and more applications are moving to cloud computing. How to deploy these applications optimally is a great challenge. Many cloud applications, such as scientific applications, are large-scale distributed systems that are deployed on a lot of distributed cloud nodes, and there are a lot of communications between these nodes. Therefore, taking the communication latency between cloud nodes into consideration during the deployment will better the performance of the application. However, the communication latency between nodes cannot be obtained in some scenarios, in which the communication latency monitor daemon is crashed in some cloud nodes. In this paper, we propose a communication latency predict-based method for deploying applications on cloud to address this challenge. Our method predicts the missing value of communication latency via collaborative filtering. And then the clustering-based method is applied to deploy applications on cloud based on the complete communication latency information. Comprehensive experiments are conducted by employing a well-known MPI benchmark and comparing the performance of our method with those of other methods. The experimental results show the effectiveness of our method. © 2014 IEEE.


Fan P.,China HuaYi Broadcasting Corporation | Chen Z.,National University of Defense Technology | Wang J.,National University of Defense Technology | Zheng Z.,Chinese University of Hong Kong | Lyu M.R.,Chinese University of Hong Kong
International Journal of Web and Grid Services | Year: 2014

Nowadays, more and more scientific applications are moving to cloud computing. The optimal deployment of scientific applications is critical for providing good services to users. Scientific applications are usually topology-aware applications. Therefore, considering the topology of a scientific application during the development will benefit the performance of the application. However, it is challenging to automatically discover and make use of the communication pattern of a scientific application while deploying the application on cloud. To attack this challenge, in this paper, we propose a framework to discover the communication topology of a scientific application by pre-execution and multi-scale graph clustering, based on which the deployment can be optimised. In addition, we present a set of efficient collective operations for cloud based on the common interconnect topology. Comprehensive experiments are conducted by employing a well-known MPI benchmark and comparing the performance of our method with those of other methods. The experimental results show the effectiveness of our topologyaware deployment method. © 2014 Inderscience Enterprises Ltd.

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