DCSEAug 2, 2016

Parametric, Probabilistic, Timed Resource Discovery System

arXiv:1608.00656v1
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of ensuring reliable execution of distributed applications on resources, but it is incremental as it builds on existing modeling techniques without introducing a new paradigm.

The paper tackles the challenge of verifying distributed resource discovery and reservation systems by presenting a semi-formal model using probabilistic timed automata, which is timed, parametric, and probabilistic, posing a challenge for parameter synthesis.

This paper presents a fully distributed resource discovery and reservation system. Verification of such a system is important to ensure the execution of distributed applications on a set of resources in appropriate conditions. A semi-formal model for his system is presented using probabilistic timed automata. This model is timed, parametric and probabilistic, making it a challenge to the parameter synthesis community.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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