scholarly journals Normalized Transfer of Bulk Data By Using UDP In Dedicated Networks

Author(s):  
Kurmachalam Ajay Kumar ◽  
Saritha Vemuri ◽  
Ralla Suresh

High speed bulk data transfer is an important part of many data-intensive scientific applications. TCP fails for the transfer of large amounts of data over long distance across high-speed dedicated network links. Due to system hardware is incapable of saturating the bandwidths supported by the network and rise buffer overflow and packet-loss in the system. To overcome this there is a necessity to build a Performance Adaptive-UDP (PA-UDP) protocol for dynamically maximizing the implementation under different systems. A mathematical model and algorithms are used for effective buffer and CPU management. Performance Adaptive-UDP is a supreme protocol than other protocols by maintaining memory processing, packetloss processing and CPU utilization. Based on this protocol bulk data transfer is processed with high speed over the dedicated network links.

2003 ◽  
Vol 86 (11) ◽  
pp. 57-65 ◽  
Author(s):  
Satoshi Kotabe ◽  
Masashi Hashimoto ◽  
Kazuo Hagimoto

2016 ◽  
Vol 29 (4) ◽  
pp. e3846
Author(s):  
Xu Zhang ◽  
Naijie Gu ◽  
Junjie Su

2011 ◽  
Vol 341-342 ◽  
pp. 868-872
Author(s):  
Hui Xin Zhang ◽  
Yan Lu Zheng ◽  
Yan Ran Chen ◽  
Hai Guang Yang

To match, test, and determine the working conditions and correctness of each function of the aircraft measurement system. This article proposes a design of equivalent test platform which can produce digital and analog signals for the self-testing of measurement system. By using the ethernet protocol chip W5300 to achieve the high-speed communication between host computer and equivalent device. Communication uses UDP unicast data transfer mode with advantages of high-speed and long-distance transmission, and the Phenomenon of data packet loss is not easy in transmission.


2019 ◽  
Vol 9 (21) ◽  
pp. 4541
Author(s):  
Syed Asif Raza Shah ◽  
Seo-Young Noh

Large scientific experimental facilities currently are generating a tremendous amount of data. In recent years, the significant growth of scientific data analysis has been observed across scientific research centers. Scientific experimental facilities are producing an unprecedented amount of data and facing new challenges to transfer the large data sets across multi continents. In particular, these days the data transfer is playing an important role in new scientific discoveries. The performance of distributed scientific environment is highly dependent on high-performance, adaptive, and robust network service infrastructures. To support large scale data transfer for extreme-scale distributed science, there is the need of high performance, scalable, end-to-end, and programmable networks that enable scientific applications to use the networks efficiently. We worked on the AmoebaNet solution to address the problems of a dynamic programmable network for bulk data transfer in extreme-scale distributed science environments. A major goal of the AmoebaNet project is to apply software-defined networking (SDN) technology to provide “Application-aware” network to facilitate bulk data transfer. We have prototyped AmoebaNet’s SDN-enabled network service that allows application to dynamically program the networks at run-time for bulk data transfers. In this paper, we evaluated AmoebaNet solution with real world test cases and shown that how it efficiently and dynamically can use the networks for bulk data transfer in large-scale scientific environments.


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