In the emerging wireless Internet environment involving m-commerce and other mobile applications, an increasing number of users are likely to adopt mobile transactions. These transactions are likely to have very diverse requirements and some of them may require significant amount of network resources and/or bounded delays. Most quality-of-service research in wireless networks has hitherto focused on call or connection-level QoS. Many mobile transactions are expected to be distinct from the previously investigated applications in their criticality, level of resource required, and in their group characteristics. Examples of such transactions are ones involving a financial value. These unique requirements of mobile transactions necessitate introduction of new metrics for quality-of-service. To measure QoS effectiveness of mobile transactions, two new metrics, namely transaction completion probability and transaction response time are introduced in this research. Moreover, it is well known that wireless networks are constrained for bandwidth. Mobile transactions are expected to require varying degree of bandwidth which makes the resource allocation only at connection level very inefficient. This research proposes a new framework to support QoS requirements of mobile transactions by allocating bandwidth at connection and transaction levels. The proposed framework helps in achieving a balance between transaction completion probability and the response time. Simulation and analytical modeling are used to evaluate the QoS metrics under varying network and traffic scenarios and to validate the effectiveness of the new framework. The results show that the balanced transaction and connection level resource allocation can improve the probability of transactions completion and resource utilization but at the cost of slightly increased response time.
| Identifer | oai:union.ndltd.org:GEORGIA/oai:digitalarchive.gsu.edu:cis_diss-1006 |
| Date | 17 July 2006 |
| Creators | Ahluwalia, Punit |
| Publisher | Digital Archive @ GSU |
| Source Sets | Georgia State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Computer Information Systems Dissertations |
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