Simulation Framework for Modeling Large-Scale Distributed Systems
Dobre Ciprian, Cristea Valentin, Iosif C. Legrand

TL;DR
This paper introduces a distributed simulation framework capable of modeling large-scale, complex distributed systems efficiently, overcoming limitations of existing tools by leveraging distributed architecture to hide computational complexity.
Contribution
A novel distributed simulation system that enables modeling of complex systems without exposing users to high computational demands.
Findings
Supports very large and complex system modeling
Reduces computational effort for end-users
Enhances simulation scalability and usability
Abstract
Simulation has become the evaluation method of choice for many areas of distributing computing research. However, most existing simulation packages have several limitations on the size and complexity of the system being modeled. Fine grained simulation of complex systems such as Grids requires high computational effort which can only be obtained by using an underlying distributed architecture. We are proposing a new distributed simulation system that has the advantage of being able to model very complex distributed systems while hiding the computational effort from the end-user.
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Simulation Techniques and Applications · Advanced Data Storage Technologies
