Abstract
In this paper, Audio QoE assessment experiments were conducted by using network parameters such as packet loss and reorder. The network model was created by using three computers, which includes sender, receiver, and middle between Linux based router machines was configured. NetEm tool was used to disturb the on-going network traffic to real-time packet loss and reorder in the broadcasting environment. VLC player was used to broadcasting and recording audio from sender to receiver machines and audios were presented to users to listen, and assign ratings according to their level of satisfaction. The results show the user’s satisfaction level is decreased when packet loss and reorder level is increased in audio streams. The user accepted a certain level of network traffic disturbance, however, the increment of disturbance in network traffic damage the audio quality below the then acceptable level. This research work will help to cloud service providers to provide QoE to users according to singed in service level agreements.
Highlights
Nowadays audio streaming is commonly used around the world such as audio conference, online learning, and music listening from clouds and voice over internet protocol (VOIP) commercial usage for cheaper call abroad [1, 2, 3]
The motivation behind the using of packet loss and reordering is that in packet loss situation data is lost and which will never recover, so in this situation, users cannot understand during the listening of audios, which word is vanished from the stream
This situation is worse than packet reordering, where packets arrived on the destination without sequence and streams were mixed, but data was not lost
Summary
Nowadays audio streaming is commonly used around the world such as audio conference, online learning, and music listening from clouds and VOIP commercial usage for cheaper call abroad [1, 2, 3]. User likes to play high quality (HQ) music from online clouds and radio stations and organizations provides these service in HQ to ensure user’s satisfaction to continue to access their services. Service providers motive to provide quality of service (QoS) to their customers but slow networks, mobility of users cause packet loss and delay, which decrease the quality of experience of end users [14, 15]. Organizations did not know the acceptable level of packet loss or reorder in audio streaming, so there is need to analyse the acceptable level of QoE of the end user’s on packet loss and reorder factors during the accessing to audio services.
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