E
Eitan Altman
Researcher at French Institute for Research in Computer Science and Automation
Publications - 135
Citations - 2409
Eitan Altman is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Nash equilibrium & Wireless network. The author has an hindex of 28, co-authored 135 publications receiving 2273 citations. Previous affiliations of Eitan Altman include University of Avignon & University of Los Andes.
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Bandwidth tradeoff between TCP and link-level FEC
Chadi Barakat,Eitan Altman +1 more
TL;DR: By analysis and simulations, this paper shows how TCP performance varies as a function of the amount of FEC, and studies in detail this bandwidth tradeoff between TCP and FEC.
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Maximum damage malware attack in mobile wireless networks
TL;DR: It is proved that it is optimal for the attacker to defer killing of the infective nodes in the propagation phase until reaching a certain time and then start the slaughter with maximum effort, and a framework for identifying intelligent defense strategies that can limit the damage by appropriately selecting network parameters is revealed.
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Flow control using the theory of zero sum Markov games
TL;DR: It is shown that there exists an optimal stationary policy (such that the decisions depend only on the actual number of customers in the queue); it is of a threshold type, and it uses randomization in at most one state.
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TCP in presence of bursty losses
TL;DR: This paper analyzes the performance of a TCP-like flow control mechanism in a lossy environment, and shows that the time average of the transmission rate is indeed sensitive to the distribution of losses, and not just to the average loss rate.
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Decentralized Protection Strategies Against SIS Epidemics in Networks
TL;DR: In this paper, the authors consider decentralized optimal protection strategies when a virus is propagating over a network through an SIS epidemic process, where each node in the network can fully protect itself from infection at a constant cost, or the node can use recovery software, once it is infected.