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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 9, 2021.
Abstract: Bioinformatics is research intensive field where agents operate in highly dynamic environment. Due to extensive research in this domain leads to basic but important problems for the researchers that are (1) Bandwidth (2) storage and (3) computation. We are using agent migration approach to reduce the network load and resolve the resource problem for the client by using server side resources for the computations on large data. The proposed approach does not demand extra storage and extensive computational resources on clients slide fsage. It solves the problem of bandwidth, storage, computation. Our results show that this approach saves the time of the user up to 12.5 % approximately, depending on the size of the data. Similarly the agent can work like a mashup to get heterogeneous data from different service providers and presents in homogeneous shape to its owner.
Shakir Ullah Shah, Abdul Hameed, Jamil Ahmad, Hafeez Ur Rehman Safia Fatima and Muhammad Amin, “Data Dissemination for Bioinformatics Application using Agent Migration” International Journal of Advanced Computer Science and Applications(IJACSA), 12(9), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120977
@article{Shah2021,
title = {Data Dissemination for Bioinformatics Application using Agent Migration},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120977},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120977},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {9},
author = {Shakir Ullah Shah and Abdul Hameed and Jamil Ahmad and Hafeez Ur Rehman Safia Fatima and Muhammad Amin}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.