Improve Mobile Agent Performance by using Knowledge-Based Content

Mobile agent technology is one of the mobile computing areas. This technology could be used in several types of applications, such as cloud computing, e-commerce, databases, distributed systems management, network management, etc. The purpose of this paper is to propose a new model for increasing the mobile agent systems performance. The performance is considered as one of the important factors that makes the system reliable. This paper suggests a knowledge-based content to be used to improve the mobile agent systems performance. In the beginning, this work started by conducting intensive survey about related models and mechanisms to investigate the gaps in the performance. A comparative discussion has been conducted between some researches issued and the proposed model. The proposed model has been described in full details based on the components. A scenario-based approach has been used to implement the proposed model by using .Net framework and C# language. The model has been tested and evaluated based on different scenarios. As findings, the overall performance has been improved by 83% when the knowledge-based content is used. In addition, the system performance will improve automatically by the time because the content of the knowledge is increased. The proposed model is suitable to be used in any type of mobile agent applications. The originality of the model is based on conducted survey and own knowledge.

@article{Ahmed2018,
  title     = {Improve Mobile Agent Performance by using Knowledge-Based Content},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Tarig Mohamed Ahmed and AL-Kharj},
  doi       = {10.14569/IJACSA.2018.090110},
  url       = {https://doi.org/10.14569/IJACSA.2018.090110}
}