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We become increasingly dependent on online services; therefore, their availability and correct behavior become increasingly important. Software replication is a popular technique for ensuring that computer systems continue to provide a correct service even ...
Since their invention more than half a century ago, computers have gone from being just an handful of expensive machines each filling an entire room, to being an integral part of almost every aspect of modern life. Nowadays computers are everywhere: in our ...
Coordinating component behaviour and, in particular, concurrent access to resources is among the key difficulties of building large concurrent systems. To address this, developers must be able to manipulate high-level concepts, such as Finite State Machine ...
State machine replication reduces distributed to centralized computing. Any sequential service, modeled by a state machine, can be replicated over any number of processes and made highly available to all of them. At the heart of this fundamental reduction ...
We consider a very simple Mealy machine ( two nontrivial states over a two-symbol alphabet), and derive some properties of the semigroup it generates. It is an infinite, finitely generated semigroup, and we show that the growth function of its balls behave ...
Cutting-edge CMOS neurochips, which consist of a Microelectrode Array (MEA) manufactured on top of CMOS circuitry, allow the recording of the electrical activity of neural networks in-vitro, and their stimulation. As CMOS technology continues to scale down ...
We show that, with k-set consensus, any number of processes can emulate k state machines of which at least one progresses. This generalizes the celebrated universality of consensus which enables to build a state machine that always progresses. Besides some ...
This paper investigates the use of features based on posterior probabilities of subword units such as phonemes. These features are typically transformed when used as inputs for a hidden Markov model with mixture of Gaussians as emission distribution (HMM/G ...
When it comes to performance, embedded systems share many problems with their higher-end counterparts. The growing gap between top processor frequency and memory access speed, the memory wall, is one such problem. Driven, in part, by low energy consumption ...
This paper investigates the use of features based on posterior probabilities of subword units such as phonemes. These features are typically transformed when used as inputs for a hidden Markov model with mixture of Gaussians as emission distribution (HMM/G ...
