Jist Swans Network Simulator stands for java in simulation time. We offer JIST project as a high performance discrete event simulation engine over a standard java virtual machine for academic project. And also we proposed a new prototype to build discrete event simulators called virtual machine based simulation which unify traditional system and language based simulator design we ensure an efficient simulation result to display output.
In that process, We perform existing highly optimized simulation runtime in time & memory consumption. We determine JIST swans network simulator projects with raw event throughput, support process oriented simulation and C based parse engine simulation using a fraction of memory.
We developed more than 90+ projects JIST Swans Network simulator with various approaches.
Using java, we provide large benefits such as large library, well known to many developers, easy to use, garbage collection, type safety, and good IDE support and platform independence.
We support JIST event scheduling with support and optimistic execution which cross VM boundaries and transparent for application.
Delivery of events is simply a method call, where virtual machine checks compability of source & destination when receiving events no additional type checking is required by receiving entity.
We delivery transfer class files, no source file is required. For simulation we use existing libraries & protocol implementation.
When there is no explicit event data structure, there is no overhead for marshalling / demarshalling data.
Using RMI, reference even based beyond VM boundaries.
Function of embedded simulation in Jist:
We implement the function of embedded simulation for research scholars are:
Transparent: Imply separation of efficiency from correctness.
Standard: Write simulation in conventional as opposed to domain specific language designed explicit for simulation.
Correctness: Assumed pre conditions which simulate programs compute valid & useful results.
Efficient: Denote optimize simulation program statistically and also dynamically by considering simulation state & event constraints to general purpose optimization.
Design & implementation in Jist project: We implement & design Jist project from science direct papers.
We implement the benefits for MS students are: