학술논문

Scalable design and algorithm for science DMZ by considering the nature of research traffic.
Document Type
Article
Source
Journal of Supercomputing. Mar2021, Vol. 77 Issue 3, p2979-2997. 19p.
Subject
*DESIGN science
*GREEDY algorithms
*CAPITAL investments
*HEURISTIC algorithms
Language
ISSN
0920-8542
Abstract
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. [ABSTRACT FROM AUTHOR]