NewMetricsforBGP
Abstract
Through Software Defined Network, routes obtained through Border Gateway Protocol can be modified to improve latency
or select a shorter path. With the same tool that perform the above actions, you can modify routes, for example, to avoid
autonomous systems in certain countries or some other policy that may help, for example, security.

• Was the study experimental or non-experimental? Explain, tell us what made that clear.  This study is an experimental study.  Three study entities, in this case internet service providers, where selected as the focal groups for completing this experiment.  Each sample consisted of monitoring latency times between two of the ISPs to a predetermined endpoint and determining which of the ISPs had the better latency times in the transfer of data between point A and B.  The experiment was the transfer of data across the wire in order to obtain comparative information on the time it took to complete the transfer.
• Was the research qualitative or quantitative? Again, explain. This study was quantitative.  It was conducted by obtaining data on a ratio of numbers presented through analyzing the network metrics of multiple samples of endpoint networks.  In each sample, two endpoint networks were monitored and a ratio of numbers was obtained indicating the difference in latency times between the two sample networks.  The assumption was that the network with the lower latency time was deemed to be the more efficient network path.
• What was the population studied?  Even though the study entities consisted of two internet service providers in Mexico and one International service provider, the population must be inferred to be the entire world population given the dynamics of the internet and how traffic is routed across it as a whole.
• What sample was used for this study?  Three internet service providers, two based in Mexico, and one International.  Network traffic was captured and analyzed from samples collected between combinations of the two providers (provider A and B, Provider B and C, etc.) until all combinations were exhausted.
• What was the method of measurement?
  • If the research was quantitative, was the measurement scale used, Nominal, Ordinal, Interval, or Ratio? The data collected was measured as a ratio of network metrics, giving direct attention to network latency in an effort to determine the quickest path between two network locations.
  • If the research was qualitative, what data was collected? Not applicable.
• What was the method of analysis?
  • If the research was quantitative, what statistical tools were used to analyze the data?  Graphical representations (tables) where used to display the latency ratios of the sampled path on the two providers being compared, and tables where used to give a side by side comparison of the minimum and maximum variance of the two providers.  Other tables used display routes that are quasi optimized by the router itself, allowing for further scrutiny and software optimization.  The final tables display autonomous routes that are included in internet route announcements.  These autonomous routes are considered wrong and should not be included in the path.
  • If the research was qualitative, in what manner was the data analyzed?  Not applicable.
• What was the conclusion of the study? Upon the completion of this study and data analysis, it was concluded that better traffic engineering could be accomplished by the implementation of software defined networks on external computer devices that are capable of outperforming the limited border gateway protocol functions built into routers.  Administering a software defined network on peripheral PC allows for the complete management of all border gateway routes housed by all routers, thus allowing for the efficient management of all network traffic within the net.
•  Why is this study useful to you? Explain in detail. My focus of study in the College of Informatics is Computer Networking and Telecommunications.  In laymen terms, my specialty will be the constructions and maintenance of efficient and reliable data networks.   This study is a simple yet elegant solutions to making the transport of data between two points across the net as fast as possible.  To study the metrics of transport between two endpoints on the net, determine which routes are most efficient, and then to create a software defined program that takes advantage of the most efficient routes to their fullest by instructing the router with the best solution to traffic management is, in my opinion, pure genius.  Using the information I obtained from this study will allow me to possible construct the same scenario and apply it to the networks of my business clients, thus improving the quality of the transport of data on their network by decreasing the latency times.  Time is money and saving time will save money.
• What would be the next logical step in extending this study?  Clearly the next logical step to extending this study is to bring more locations on board with different network demand, setup this study in the same way, and apply the same obtained results to the sampled network and determine if the application of these modifications do improve the performance of the network traffic by decreasing latency times.  Only by repeating this study on additional networks with different demands and obtaining the same improvement results will guarantee that this study is truly valid and worth rolling out to the IT community as a network latency improvement theory.

References
Elguea, L. & Martinez-Rios, F. (2019, May 17). New metrics to modify BGP routes based on SDN.  Retrieved from https://cpb-us-e1.wpmucdn.com/ltblogs.fhsu.edu/dist/4/284/files/2021/03/NewMetricsforBGP.pdf