شماره ركورد كنفرانس :
1677
عنوان مقاله :
Out-Network Traffic Terms: a Case Study in LinkedIn
عنوان به زبان ديگر :
Out-Network Traffic Terms: a Case Study in LinkedIn
پديدآورندگان :
Alibeigi Ali نويسنده , Munir AbuBakar نويسنده , Asemi Asefeh نويسنده , Asemi Adeleh نويسنده
كليدواژه :
Latency , LinkedIn , Node , Social network , traffic
عنوان كنفرانس :
هشتمين كنفرانس بين المللي تجارت الكترونيك با رويكرد بر اعتماد الكترونيك
چكيده لاتين :
Terms in the use of LinkedIn, as one of the
important elements in this website will serve an important
role in regulating the flow of traffic. The study of the
integration of these terms can be a significant step to avoid
congestion and (Users’) rejection in the network.
Integration of Traffic Control Terms (TCT) between
LinkedIn and other social networks is one of the best
solutions to establish consequent traffic flow out of the
network. Depending on the conditions, integration can be
done in different ways. This article examines the direct pass
and indirect pass methods. Node phase differences are key
elements for integration of LinkedIn considered in this
review. To calculate the optimal phasing and appropriate
phase difference, first the status of a user in LinkedIn has
been analyzed using software, and then the results have
been simulated by charting. In this article, the Integration
of TCT was done based on evaluation of the TCT
performance through determining the appropriate phase
differences and reference rule and calculating the
measurement of Latency (LT) in the main network port.
This latency was calculated as the difference of the expected
time and real time of connection or login to the network in
simulated conditions. The achieved results indicate that in
unsaturated conditions using indirect pass method and in
saturated conditions, due to rejection of user and inability
of network TCT, using indirect pass method is the best
choice for integration of the TCT for LinkedIn and other
social networks.
شماره مدرك كنفرانس :
2597914