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Updated: Jul 3, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

Modelling global computations with KLAIM.

Rocco De Nicola¹, Michele Loreti

¹Dipartimento di Sistemi e Informatica, Universtà di Firenze, Viale Morgagni 65, Florence, Italy. denicola@dsi.unifi.it

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|August 2, 2008

Summary

This summary is machine-generated.

Global Computing research introduces new models for mobile code and data over dynamic networks. This paper presents KLAIM, an experimental language for programming distributed systems with mobile components and tuple spaces.

Related Experiment Videos

Last Updated: Jul 3, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

Area of Science:

Global Computing
Distributed Systems
Agent-Based Systems

Background:

Global Computing addresses challenges in dynamic, wide-area networks.
Coordination and control of diverse components are critical.

Purpose of the Study:

Introduce KLAIM (Kernel Language for Agents Interaction and Mobility).
Provide a language for programming distributed systems with mobile components.

Main Methods:

Developed KLAIM, an experimental programming language.
Utilized multiple distributed tuple spaces for interaction.
Defined formal semantics for KLAIM.

Main Results:

KLAIM enables programming of distributed systems with mobile components.
The language facilitates interaction via distributed tuple spaces.
Formal semantics allow reasoning about system properties.

Conclusions:

KLAIM offers a novel approach to Global Computing.
Formal semantics support analysis of qualitative and quantitative system aspects.
The language is suitable for complex, dynamic distributed environments.