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The Lighthouse Project proposes a house. Named a House it had to address inhabitation: for whom was defined by each student. Additionally the Lighthouse had to include a public function. Light was considered as an attractor and conductor of flows in the ur ...
New entrants in postal markets usually set up delivery networks by concentrating on urban areas and large business customers. This implies that they operate their network highly centralized - at least in early phases of entrance. ...
Let {X(t), t is an element of R-N} be a fractional Brownian motion in R-d of index H. If L(0,I) is the local time of X at 0 on the interval I subset of R-N, then there exists a positive finite constant c(=c(N,d,H)) such that ...
The k-set-agreement problem consists for a set of n processes to agree on less than k among n possibly different Values, each initially known to only one process. The problem is at the heart of distributed computing and generalizes the celebrated consensus ...
Among all classes of faults, Byzantine faults form the most general modeling of value faults. Traditionally, in the Byzantine fault model, faults are statically attributed to a set of up to t processes. This, however, implies that in this model a process a ...
Former PhD students, post-docs and junior researchers of the Section de chimie et biochimie now holding positions at different universities and private companies remember the time they spent in Geneva and give an account of how this has set off and influen ...
We study f -resilient services, which are guaranteed to operate as long as no more than f of the associated processes fail. We prove three theorems asserting the impossibility of boosting the resilience of such services. Our first theorem allows any connect ...
Networks on Chip (NoC) has emerged as the paradigm for designing scalable communication architecture for Systems on Chips (SoCs). Avoiding the conditions that can lead to deadlocks in the network is critical for using NoCs in real designs. Methods that can ...
We study the problem of distributed estimation, where a set of nodes are required to collectively estimate some parameter of interest from their measurements. Distributed implementations avoid the use of a fusion center and distribute the processing and co ...