Optimal Performance Analysis of iBGP and eBGP in Internal and External WAN
Keywords:BGP, IP, Internet, Topology and Networks
BGPis a protocol responsible to provide communications between different autonomous systems and employed in internet. Demand for BGPperformance is growing as the internet evolves. The execution of IP systems relies upon a wide assortment of self-motivated circumstances. Transportation changes, gear disappointments, arranged upkeep, and topology changes in different parts of the Internet would all be able to debase execution. To keep up great execution, organize administrators should constantly reconfigure the steering conventions. Administrators arrange BGPto control how traffic streams to neighboring Autonomous Systems (ASes), and in addition how traffic navigates their systems. BGPis a good choice for use to inter-domain routing between different ASes using eBGP, it is not the best choice for use within the same AS using iBGP but it is still valid to use. It is a mandatory for use to carry the internet routing table through the AS.
 bahaa al-musawi, et al,â€ recurrence behaviour of bgp trafficâ€, telecommunication networks and applications conference (itnac), 2017.
 parvesh kaushal and mr. amarvir singh, â€œ performance and security analysis of border gateway protocolâ€, international journal of computer science trends and technology (ijcst) â€“ volume 3 issue 4, jul-aug 2015. j
 juniper networks, inc.,â€ bgp feature guideâ€, modified: 2018-06-21.
 P. Mohamed Shakeel; Tarek E. El. Tobely; Haytham Al-Feel; Gunasekaran Manogaran; S. Baskar., â€œNeural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensorâ€, IEEE Access, 2019, Page(s): 1
 tony dongliang feng, et al, â€œimplementation of bgp in a network simulatorâ€.
 Shakeel PM, Manogaran G., â€œProstate cancer classification from prostate biomedical data using ant rough set algorithm with radial trained extreme learning neural networkâ€, Health and Technology, 2018:1-9.https://doi.org/10.1007/s12553-018-0279-6
 L. Haoyu, L. Jianxing, N. Arunkumar, A. F. Hussein, and M. M. Jaber, â€œAn IoMT cloud-based real time sleep apnea detection scheme by using the SpO2 estimation supported by heart rate variability,â€ Futur. Gener. Comput. Syst., 2018.
 A. Meri et al., â€œModelling the Utilization of Cloud Health Information Systems in the Iraqi Public Healthcare Sector,â€ Telemat. Informatics, 2018.
 P. M. Shakeel, S. Baskar, V. R. S. Dhulipala, and M. M. Jaber, â€œCloud based framework for diagnosis of diabetes mellitus using K-means clustering,â€ Heal. Inf. Sci. Syst., vol. 6, no. 1, p. 16, 2018.
 P. M. Shakeel, S. Baskar, V. R. S. Dhulipala, S. Mishra, and M. M. Jaber, â€œMaintaining security and privacy in health care system using learning based Deep-Q-Networks,â€ J. Med. Syst., vol. 42, no. 10, p. 186, 2018.
 M. A. Mohammed et al., â€œGenetic case-based reasoning for improved mobile phone faults diagnosis,â€ Comput. Electr. Eng., 2018.
 S. K. Abd, S. A. R. Al-Haddad, F. Hashim, A. B. H. J. Abdullah, and S. Yussof, â€œEnergy-Aware Fault Tolerant Task offloading of Mobile Cloud Computing,â€ in Proceedings - 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2017, 2017.
 M. H. Ali, M. F. Zolkipli, M. A. Mohammed, and M. M. Jaber, â€œEnhance of extreme learning machine-genetic algorithm hybrid based on intrusion detection system,â€ J. Eng. Appl. Sci., vol. 12, no. 16, 2017.
 M. A. Mohammed et al., â€œE-government and its challenges in developing countries: Case study Iraqi e-government,â€ Soc. Sci., vol. 11, no. 17, pp. 4310â€“4319, 2016.
 M. B. Alazzam, A. S. H. Basari, A. S. Sibghatullah, M. R. Ramli, M. M. Jaber, and M. H. Naim, â€œPilot study of EHRs acceptance in Jordan hospitals by UTAUT2,â€ J. Theor. Appl. Inf. Technol., vol. 85, no. 3, 2016.
 M. K. Abd Ghani and M. M. Jaber, â€œWillingness to Adopt Telemedicine in Major Iraqi Hospitals: A Pilot Study,â€ Int. J. Telemed. Appl., vol. 2015, 2015.
 Shakeel, P.M., Tolba, A., Al-Makhadmeh, Zafer Al-Makhadmeh, Mustafa Musa Jaber, â€œAutomatic detection of lung cancer from biomedical data set using discrete AdaBoost optimized ensemble learning generalized neural networksâ€, Neural Computing and Applications,2019,pp1-14.https://doi.org/10.1007/s00521-018-03972-2
 afroza shultana tonny, â€œcomparative performance analysis of static and bgp route in a network using network simulator (ns2)â€, east west university, department of electronics & communications engineering.