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In [ 15], the authors obtained the response time distribution of a cloud system modelled by means of queuing theory on a classical M/M/m open network with m servers, assuming an exponential density function for the inter-arrival and service times (M).
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Since these systems usually have hundreds of thousands if not millions of users, we are talking about a huge volume of information being sent to the server (assuming a centralized topology which is the case in the vast majority of the commercial applications on this area).
If no error message comes back, however, can the originating server assume that the message arrived, safe and sound?
DNS Server assumes the role of an I-CSCF.
As the main server, we assume a server system that is built in a cloud environment.
Since it is unrealistic to modify the transport protocol for every server, we assume that proxy servers are located in each autonomous system (AS) network between the STAs and corresponding servers from which STAs are originally downloading data.
The servers are assumed to be able to connect to the trusted third parties.
As data files are usually pre-stored at application servers, we assume saturated traffic for data service.
Specifically, we had to think outside the box (in this case, servers) and assume that our target institutions might be 2000 ready, but that partners, suppliers and other parts of the network (both physical and digital) might not be.
The service capacity of the server is assumed to be composed of (N) service units.
The channel connecting the gateway to the authentication server is assumed to be authenticated and private.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com