Task Dependency of User Perceived Utility in Autonomic VoIP Systems

Abstract

The transmission of voice-over-Internet protocol (VoIP) network traffic is used in an increasing variety of applications and settings. Many of these applications involve communications where VoIP systems are deployed under unpredictable conditions with poor network support. These conditions make it difficult for users to configure and optimize VoIP systems and this creates a need for self configuring and self optimizing systems. To build an autonomic system for VoIP communications, it is valuable to be able to measure the user perceived utility of a system. In this paper we identify factors important to the estimation of user perceived utility in task dependent VoIP communications.

Internet Call Delay on Peer to Peer and Phone to Phone VoIP Network

“…There are three elements such as clarity, end-to-end delay, and echo emerges as the primary factors affecting voice quality, particularly in the case of VoIP over internet [1]. VoIP systems for field communications need to be deployed quickly to minimize response time [2]. Figure 1 represents the start point VoIP working process.…”

Synthesis of application-level utility functions for autonomic self-assessment

“…We briefly discuss here the set-up and outcome of a case study that is more thoroughly described in [25]. That case study involved a number of volunteer users of an IP teleconferencing system, and required them to try to perform various tasks that required pairwise remote communication, mediated through the IP conferencing system.…”

“…In those cases, we talk about subjective utility, as it reflects the goals and the values of those human subjects. For instance, in previous work co-authored by the second author, the elicitation of subjective utility is used to characterize a communication application [25]. In Autonomic computing, however, it would be desirable to move towards objective utility, and from elicitation to (at least partially) automated synthesis, since that leads to utility functions that faithfully fit the recorded usage and intended purpose of the target system.…”

“…That process is based on the statistical utility elicitation technique used in [25] for IP teleconferencing, but we have worked to extend it to cases in which the utility information is not provided by users. Our goal is to move from elicitation to automated synthesis, and substitute user perception with objective measures of behavioral parameters of the application, as observed, for example, by any client system using that application's services.…”