TY - GEN

T1 - On the scalability of centralized control

AU - Feitelson, Dror G.

PY - 2005

Y1 - 2005

N2 - Scalability of clusters and MPPs is typically discussed in terms of limits on growth: something which grows at a rate of O(log p) (where p is the number of processors) is said to be more scalable than something whose growth rate is O(p). But in practice p does not grow without limits. We therefore suggest that discussions of scalability should take time into account. System sizes grow with time, so larger systems need to be supported - but only after some time. And in particular, there is no real need to support arbitrarily large systems right now. Surprisingly, when time is thus put into the picture, we find that centralized control is actually quite scalable. The reason is that the capabilities of a centralized control node grow at a fast pace due to Moore's law. This seems to be more than enough in order to manage current growth patterns displayed by parallel systems.

AB - Scalability of clusters and MPPs is typically discussed in terms of limits on growth: something which grows at a rate of O(log p) (where p is the number of processors) is said to be more scalable than something whose growth rate is O(p). But in practice p does not grow without limits. We therefore suggest that discussions of scalability should take time into account. System sizes grow with time, so larger systems need to be supported - but only after some time. And in particular, there is no real need to support arbitrarily large systems right now. Surprisingly, when time is thus put into the picture, we find that centralized control is actually quite scalable. The reason is that the capabilities of a centralized control node grow at a fast pace due to Moore's law. This seems to be more than enough in order to manage current growth patterns displayed by parallel systems.

UR - http://www.scopus.com/inward/record.url?scp=33746281728&partnerID=8YFLogxK

U2 - 10.1109/IPDPS.2005.307

DO - 10.1109/IPDPS.2005.307

M3 - Conference contribution

AN - SCOPUS:33746281728

SN - 0769523129

SN - 0769523129

SN - 9780769523125

T3 - Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005

BT - Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005

T2 - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005

Y2 - 4 April 2005 through 8 April 2005

ER -