QOS Modeling and Analysis using QML in Mobile Computing Environment

Abstract

Mobile computing systems are different from fixed distributed system owing newlineto its non-functional properties of the system which are related to the mobility. The newlinefactors that define a mobile computing system are: application, middleware, newlineoperating system (OS), mobile terminal, and mobile communication system. Quality newlineof service (QoS) in mobile computing systems is therefore the combination of QoS newlinecharacteristics and QoS mechanisms across the system. Quality of service is the newlineability to provide different priority to different applications, users, or data flows, or newlineto guarantee a certain level of performance to a data flow. For presenting a general newlineQoS framework, modeling is defined using Quality of service modeling language newline(QML) in Mobile Computing Environment which is based on combinations and newlineextension of existing QoS frameworks. QML is designed to support QoS newlinecharacteristics such as reliability, performance, security, and timing. newlineNetwork designing techniques are complicated and quite complex. The QML newlinecan help in reducing the network design complexity. QML is widely used modeling newlinelanguage in the development processes. It is quite adapted for the specification of newlinenon-functional aspect such as QoS. The overall aim of this research is to perform newlinemodeling of the QoS in mobile computing environment using modeling languages newlineQML and analyzing QoS parameters using of tools. It will add to QML the ability to newlinespecify and handle the QoS that will be used in the mobile computing environment. newlineA new technique of improving the congestion control and security of the newlineMANET has been devised. QoS performance of the same has been evaluated using newlinethe various parameters of the network system measurement. After this modification, newlineit is observed that the performance of the protocol is improved. The analysis and newlinemeasurements of the QoS parameters using tools (e.g. NS-2) is done, and then a newlinecomparison between the Design times QoS parameters to Actual parameters is newlineperformed. It is also proposed to find out the differences and causes of