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George D. Stamoulis
Researcher at Athens University of Economics and Business
Publications - 106
Citations - 1725
George D. Stamoulis is an academic researcher from Athens University of Economics and Business. The author has contributed to research in topics: The Internet & Common value auction. The author has an hindex of 22, co-authored 101 publications receiving 1663 citations. Previous affiliations of George D. Stamoulis include Massachusetts Institute of Technology & Foundation for Research & Technology – Hellas.
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Optimal communication algorithms for hypercubes
TL;DR: The algorithms proposed for these basic communication problems in a hypercube network of processors are optimal in terms of execution time and communication resource requirements; that is, they require the minimum possible number of time steps and packet transmissions.
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An incentives' mechanism promoting truthful feedback in peer-to-peer systems
TL;DR: The results show clearly that the mechanism detects and isolates effectively liar peers, while rendering lying costly, and diminishes the efficiency losses induced to sincere peers by the presence of large subsets of the population of peers that provide their ratings either falsely or according to various unfair strategies.
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Application of the many sources asymptotic and effective bandwidths to traffic engineering
TL;DR: In this article, the authors employ the theory of effective bandwidths, where the effective bandwidth depends not only on the statistical characteristics of the traffic stream, but also on a link's operating point through two parameters, the space and time parameters, which can be computed using the many sources asymptotic.
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On a lower bound for the redundancy of reliable networks with noisy gates
TL;DR: A proof is provided that a logarithmic redundancy factor is necessary for the reliable computation of the parity function by means of a network with noisy gates.
Proceedings ArticleDOI
Effective use of reputation in peer-to-peer environments
TL;DR: It is shown that the straightforward approach for peers to exploit the reputation metrics may lead to unexpectedly low efficiency for high-performing peers, and argues and justifies experimentally that the calculation of the reputation values has to be complemented by reputation-based policies that define the pairs of peers eligible to interact.