Mapping approach for multiscale emulation networks in heterogeneous environments
Pages 342 - 347
Abstract
As real network environments become increasingly complex, the scale of network emulation topologies is expanding. To address this problem, on the one hand, the multiscale integration emulation approach can effectively account for emulation fidelity and computational overhead; on the other hand, multiple heterogeneous physical clusters in parallel can provide a scalable resource environment. An important focus of current research is determining how to better map multiscale network emulation topologies to heterogeneous physical clusters while enhancing resource utilization and load balance. For this purpose, this paper proposes a multiscale integration mapping method for heterogeneous environments (MIM-HE) that uses the multiscale integration approach for mapping and realizes network mapping based on heterogeneous physical clusters. MIM-HE increases the feasible scale of emulation. Experiments show that compared with a method of load balancing based on METIS (MLBM) and random network mapping (RNM), MIM-HE reduces the load imbalance index by 44.68% and 81.81%, respectively, and the remote throughput index by 15.01% and 49.18%, respectively.
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Index Terms
- Mapping approach for multiscale emulation networks in heterogeneous environments
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Published In
December 2020
597 pages
ISBN:9781450387828
DOI:10.1145/3444370
Copyright © 2020 ACM.
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In-Cooperation
- Sun Yat-Sen University
- CARLETON UNIVERSITY: INSTITUTE FOR INTERDISCIPLINARY STUDIES
- Beijing University of Posts and Telecommunications
- Guangdong University of Technology: Guangdong University of Technology
- Deakin University
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Association for Computing Machinery
New York, NY, United States
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Published: 04 January 2021
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CIAT 2020
CIAT 2020: 2020 International Conference on Cyberspace Innovation of Advanced Technologies
December 4 - 6, 2020
Guangzhou, China
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CIAT 2020 Paper Acceptance Rate 94 of 232 submissions, 41%;
Overall Acceptance Rate 94 of 232 submissions, 41%
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