Affiliations: Department of Industrial Engineering, Arizona State
University, Tempe, AZ, USA
Note: [] Corresponding author: Professor Nong Ye, Department of
Industrial Engineering, Arizona State University, Box 875906, Tempe, AZ
85287-5906, USA. Tel.: +1 480 965 7812; Fax: +1 480 965 8692; E-mail:
nongye@asu.edu
Abstract: In this paper, we present quality of service (QoS) metrics for
various network applications based on human factors and technology attributes.
The first term, human factors, addresses human perception of different kinds of
media, such as conventional text, audio and video. The second term, technology
attributes, represents the different technological aspects of these network
applications, such as time-dependence and symmetry. Both of these terms are key
factors that lead to variations of requirements for QoS. Establishing these
requirements is paramount to providing QoS on computer networks and the
Internet. With the metrics presented in this paper we can provide the criteria
necessary for such QoS assurance.