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Coupon replication systems
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Source IEEE/ACM Transactions on Networking (TON) archive
Volume 16 ,  Issue 3  (June 2008) table of contents
Pages 603-616  
Year of Publication: 2008
ISSN:1063-6692
Authors
Laurent Massoulié  Thomson Research Paris, Boulogne Cedex, France
Milan Vojnovic  Microsoft Research Ltd., Cambridge, UK
Publisher
IEEE Press  Piscataway, NJ, USA
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DOI Bookmark: 10.1109/TNET.2007.903992

ABSTRACT

Motivated by the study of peer-to-peer file swarming systems à la BitTorrent, we introduce a probabilistic model of coupon replication systems. These systems consist of users aiming to complete a collection of distinct coupons. Users enter the system with an initial coupon provided by a bootstrap server, acquire other coupons from other users, and leave once they complete their coupon collection. For open systems, with exogenous user arrivals, we derive stability condition for a layered scenario, where encounters are between users holding the same number of coupons. We also consider a system where encounters are between users chosen uniformly at random from the whole population. We show that sojourn time in both systems is asymptotically optimal as the number of coupon types becomes large. We also consider closed systems with no exogenous user arrivals. In a special scenario where users have only one missing coupon, we evaluate the size of the population ultimately remaining in the system, as the initial number of users Ngoes to infinity. We show that this size decreases geometrically with the number of coupons K. In particular, when the ratio K/log(N) is above a critical threshold, we prove that this number of leftovers is of order log(log(N)). These results suggest that, under the assumption that the bootstrap server is not a bottleneck, the performance does not depend critically on either altruistic user behavior or on load-balancing strategies such as rarest first.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Laurent Massoulié: colleagues
Milan Vojnovic: colleagues