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Scalable design and algorithm for science DMZ by considering the nature of research traffic.
- Source :
- Journal of Supercomputing; Mar2021, Vol. 77 Issue 3, p2979-2997, 19p
- Publication Year :
- 2021
-
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]
- Subjects :
- DESIGN science
GREEDY algorithms
CAPITAL investments
HEURISTIC algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 09208542
- Volume :
- 77
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Supercomputing
- Publication Type :
- Academic Journal
- Accession number :
- 148678603
- Full Text :
- https://doi.org/10.1007/s11227-020-03383-y