Abstract | ||
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Ant Colony Optimization (ACO) is a problem-solving technique inspired by the behavior of real-world ant colony. ACO-based routing also has high potential on balancing the traffic load in the domain of Network-on-Chip (NoC), where the performance is generally dominated by traffic distribution and routing. Since the pheromone in ACO provides both spatial and temporal network information, we find ACO-based routing suitable for reducing the probability of deadlock and its penalty. With the three schemes inspired by the behavior of ants and named as ACO-based Deadlock-Aware Routing (ACO-DAR), our simulation shows that the occurrence of deadlock can be greatly suppressed and the network performance also improves as a consequence. Moreover, ACO-DAR makes use of the existing hardware of the original ACO-based routing, so the area overhead is minor and ACO-DAR is thus cost-effective. |
Year | DOI | Venue |
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2012 | 10.1109/SiPS.2012.14 | SiPS |
Keywords | Field | DocType |
traffic load,ant colony optimisation,network routing,aco-based deadlock-aware fully-adaptive routing,network performance,aco-based deadlock-aware routing,ant colony optimization,resource allocation,problem-solving technique,aco-dar,problem solving,traffic distribution,temporal network information,traffic load balancing,spatial network information,network-on-chip systems,fully-adaptive routing,aco-based routing,area overhead,original aco-based routing,network-on-chip,deadlock-aware routing,noc,existing hardware,network on chip | Link-state routing protocol,Multipath routing,Dynamic Source Routing,Hierarchical routing,Policy-based routing,Computer science,Static routing,Computer network,Routing domain,Real-time computing,Distributed computing,Zone Routing Protocol | Conference |
ISSN | ISBN | Citations |
2162-3562 | 978-1-4673-2986-6 | 4 |
PageRank | References | Authors |
0.40 | 12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kuan-Yu Su | 1 | 5 | 0.78 |
Hsien-Kai Hsin | 2 | 78 | 5.90 |
En-Jui Chang | 3 | 101 | 8.76 |
An-Yeu (Andy) Wu | 4 | 97 | 7.92 |