• Journal of the Korea Society for Simulation
• /
• v.26 no.4
• /
• pp.51-61
• /
• 2017

Hadoop platform is a representative storing and managing platform for big data. Hadoop consists of distributed computing system called MapReduce and distributed file system called HDFS. It is important to analyse the effectiveness according to the change of cluster constructions and several parameters. However, since it is hard to construct thousands of clusters and analyse the constructed system, simulation method is required to analyse the system. This paper proposes Hadoop simulator based on DEVS formalism which provides hierarchical and modular modeling. Hadoop simulator provides a retargetable experimental environment that is possible to change of various parameters, algorithms and models. It is also possible to design input models reflecting the characteristics of Hadoop applications. To maximize the user's convenience, the user interface, real-time model viewer, and input scenario editor are also provided. In this paper, we validate Hadoop Simulator through the comparison with the Hadoop execution results and perform various experiments.

• Journal of the Institute of Electronics Engineers of Korea SD
• /
• v.41 no.7
• /
• pp.43-52
• /
• 2004

This paper proposes an efficient functional verification environment of microprocessor. This verification environment consists of test vector generator part, simulator part, and comparator part. To enhance efficiency of verification, it use a bias random test vector generator. In a part of simulation, retargetable instruction level simulator is used for reference model. This verification environment is excellent to find error which is not detected by general test vector and will become a good guide to find new error type