Marko Obrovac
University of Rennes
12 Papers
49 Citations
Marko Obrovac is an academic researcher from University of Rennes. The author has contributed to research in topics: Programming paradigm & Distributed algorithm. The author has an hindex of 5, co-authored 12 publications. Previous affiliations of Marko Obrovac include French Institute for Research in Computer Science and Automation.
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Papers
A protocol for the atomic capture of multiple molecules on large scale platforms
Marin Bertier,Marko Obrovac,Cédric Tedeschi +2 more
- 03 Jan 2012
TL;DR: A protocol for the atomic capture of molecules participating in concurrent reactions distributed and evolving over a large scale platform is proposed and proof of liveness, as well as intensive simulation results showing the efficiency and limited overhead of the protocol are given.
Adaptive atomic capture of multiple molecules
TL;DR: A protocol for the atomic capture of multiple molecules participating in concurrent reactions distributed and evolving over a large-scale platform is proposed and given an overview of the course of execution when a program contains multiple rules and provide a rule-changing mechanism.
6
Deployment and Evaluation of a Decentralised Runtime for Concurrent Rule-based Programming Models
Marko Obrovac,Cédric Tedeschi +1 more
- 03 Jan 2013
TL;DR: Rule-based programming is regarded as a promising model in this quest for adequate programming abstractions for these platforms, but while these models are gaining a lot of attention, there is a demand for generic tools able to run such models at large scale.
•Journal Article
Distributed Chemical Computing: A Feasibility Study.
Marko Obrovac,Cédric Tedeschi +1 more
TL;DR: The theoretical analysis as well as the experimental campaign conducted on a first prototype establish the viability of the framework proposed, thus lifting a barrier towards the full adoption of the chemical model.
5
On the Feasibility of a Distributed Runtime for the Chemical Programming Model
Marko Obrovac,Cédric Tedeschi +1 more
- 21 May 2012
TL;DR: This paper studies the possibility of building a distributed execution environment for chemical programs using a generic peer-to-peer-based runtime model and distributed algorithms for large scale chemical computing, and discusses the feasibility and performance of such a runtime.
5