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Scalable design and algorithm for science DMZ by considering the nature of research traffic
The Journal of Supercomputing ( IF 2.5 ) Pub Date : 2020-07-13 , DOI: 10.1007/s11227-020-03383-y
Chankyun Lee , Minseok Jang , Minki Noh , Woojin Seok

This paper explores the nature of scientific research traffic on the Korea research environment open network. Based on these investigations, we propose a scalable design and algorithm for the science demilitarization zone (DMZ). The proposed design allows users to share a data-transfer node (DTN), which is essential but costly equipment in the Science DMZ. The proposed iterative greedy algorithm attempts to minimize the peak traffic of the shared DTNs. By considering state-of-the-art DTN and practical research traffic, the proposed design and algorithm achieve up to 79% capital expenditure (CAPEX) reduction from that of a reference design of the Science DMZ where a DTN is allocated per user. The proposed algorithm achieves a 5-order-of-magnitude reduction in computation time at the cost of acceptable CAPEX overheads compared to those of the minimum-CAPEX solutions.

中文翻译:

考虑研究流量性质的科学DMZ可扩展设计和算法

本文探讨了韩国科研环境开放网络上科研流量的性质。基于这些调查,我们为科学非军事区 (DMZ) 提出了一种可扩展的设计和算法。提议的设计允许用户共享数据传输节点 (DTN),这是 Science DMZ 中必不可少但昂贵的设备。提出的迭代贪婪算法试图最小化共享 DTN 的峰值流量。通过考虑最先进的 DTN 和实际研究流量,所提出的设计和算法实现了高达 79% 的资本支出 (CAPEX) 比科学 DMZ 的参考设计减少了 79%,其中每个用户分配了一个 DTN。
更新日期:2020-07-13
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