An improved strategy to support multiple qos assessment for selecting content adaptation services
Content adaptation is a solution in providing ubiquitous access of the increasingly rich Internet multimedia contents (i.e., resources) to a variety of users’ requirement, along with their limited device’s capability (i.e., delivery contexts). Service Oriented Content Adaptation (SOCA) framework ena...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/7915/ http://eprints.uthm.edu.my/7915/1/JULIANA_BINTI_MOHAMED.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Content adaptation is a solution in providing ubiquitous access of the increasingly
rich Internet multimedia contents (i.e., resources) to a variety of users’ requirement,
along with their limited device’s capability (i.e., delivery contexts). Service Oriented
Content Adaptation (SOCA) framework enables users to use content adaptation
services on pay-as-you-go basis, thus demanding for a good quality of service (QoS).
One of the important QoS criteria is the maximum time that a user can wait (i.e.,
response time) for the output to be displayed. The service provider offers one
waiting time (QoS) during the advertisement, based on the fair load. However, the
advertised waiting time may not be deliverable accordingly during the actual service
execution due to a heavy load. Practically, the service provider should be able to
estimate a current deliverable response time before the Service Level Agreement
(SLA) settled. With the purpose of overcoming these constraints, this thesis will be
focusing on providing an improved strategy, called one-to-multiple assessment
strategy for SOCA framework, that focuses on assessing current waiting time and
evaluate its deliverability. The purpose of SLA assessor is to consider the current
QoS (server load) of other services negotiated for the other interrelated tasks. This is
performed by a function called a checker. In conclusion, the SLA assessor improves
the SLA settlement rate between users and content adaptation services. Also, it
reduces the extra overhead (i.e., communication step) to reconsidering another
service for a particular task compared to the existing one-to-one assessment strategy. |
|---|