| dc.creator |
Mongi, Alex, F. |
|
| dc.date |
2020-03-25T08:25:35Z |
|
| dc.date |
2020-03-25T08:25:35Z |
|
| dc.date |
2015 |
|
| dc.date.accessioned |
2022-10-20T13:47:41Z |
|
| dc.date.available |
2022-10-20T13:47:41Z |
|
| dc.identifier |
Mongi, Alex. F. (2015). A conceptual framework for QoE measurement and management in networked systems. International Journal of Computer Applications, 112(8), 0975 – 8887. |
|
| dc.identifier |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.695.9209 |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/2368 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/2368 |
|
| dc.description |
Full Text Article. Also available at: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.695.9209 |
|
| dc.description |
Network management of real time applications demands a new approach for an effective service quality provision. The traditional approach of network management based on Quality of Service (QoS) parameters like jitter, throughput, delay and loss cannot give enough details of how user quality demands. Therefore network management approach must start from user’s point of view to the network side. This kind of approach is called a user-centric network management approach which ensures that end users quality of experience (QoE) is maintained. Most of network management systems have manage and monitor network performance without knowing what users are experiencing. This paper propose a framework to measure and manage QoE in networked systems. It is clear that a network which can identify user’s quality requirement and optimize itself will simply meet users’ demands, and hence users’ satisfaction which is define as QoE. Another key issue which has not been implemented by existing systems is the issue of compensation. If network systems at the time of requesting cannot offer resources enough to meet users’ demands, then users should be compensated. In achieving those requirements, the proposed framework is designed with five key elements which are QoE predictor, Network Management & Mediation System (NMMS), Resource Allocations &Management System (RAMS), Service Level Agreement Management System (SLAMS) and Billing System (BS). |
|
| dc.language |
en |
|
| dc.publisher |
Foundation of Computer Science |
|
| dc.subject |
QoE Measurement |
|
| dc.subject |
Networked systems |
|
| dc.subject |
Throughput |
|
| dc.subject |
Network management |
|
| dc.subject |
User-centric network |
|
| dc.subject |
Network performance |
|
| dc.subject |
Mediation system |
|
| dc.subject |
Billing system |
|
| dc.subject |
QoE predictor |
|
| dc.title |
A conceptual framework for QoE measurement and management in networked systems |
|
| dc.type |
Article |
|