TY - JOUR
T1 - Routing through networks with hierarchical topology aggregation
AU - Awerbuch, Baruch
AU - Du, Yi
AU - Khan, Bilal
AU - Shavitt, Yuval
N1 - Funding Information:
We are grateful to O. Shriki, H. Sompolinsky, and D. Hansel for providing us with their model neuron. This work was supported by Lucent Technologies and MIT.
PY - 1998
Y1 - 1998
N2 - In the future, global networks will consist of a hierarchy of subnetworks called domains. For reasons of both scalability and security, domains will not reveal details of their internal structure to outside nodes. Instead, these domains will advertise only a summary, or aggregated view, of their internal structure, e.g., as proposed by the ATM PNNI standard. This work compares, by simulation, the performance of several different aggregation schemes in terms of network throughput (the fraction of attempted connections that are realized), and network control load (the average number of crankbacks per realized connection). The simulation emulate a connection oriented network with a PNNI-like hierarchical source routing algorithm. Our main results are: (1) minimum spanning tree is a good aggregation scheme; (2) exponential link cost functions perform better than min-hop routing; (3) our suggested logarithmic update scheme that determine when re-aggregation should be computed can significantly reduce the computational overhead due to re-aggregation with a negligible decrease in performance.
AB - In the future, global networks will consist of a hierarchy of subnetworks called domains. For reasons of both scalability and security, domains will not reveal details of their internal structure to outside nodes. Instead, these domains will advertise only a summary, or aggregated view, of their internal structure, e.g., as proposed by the ATM PNNI standard. This work compares, by simulation, the performance of several different aggregation schemes in terms of network throughput (the fraction of attempted connections that are realized), and network control load (the average number of crankbacks per realized connection). The simulation emulate a connection oriented network with a PNNI-like hierarchical source routing algorithm. Our main results are: (1) minimum spanning tree is a good aggregation scheme; (2) exponential link cost functions perform better than min-hop routing; (3) our suggested logarithmic update scheme that determine when re-aggregation should be computed can significantly reduce the computational overhead due to re-aggregation with a negligible decrease in performance.
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M3 - Article
AN - SCOPUS:0002206787
SN - 0926-6801
VL - 7
SP - 57
EP - 73
JO - Journal of High Speed Networks
JF - Journal of High Speed Networks
IS - 1
ER -