Increasing of wireless application and the Internet usages lead to a new emerging technology, Wireless Internet. An adaptive application that can adapt to a high variable environment is needed. According to the Quality of Service (QoS) concept, QoS management is needed to ensure that the Service License Agreement (SLA) between client and server will be executed. This paper proposes a generic model for an adaptive QoS management application. A general QoS management model is presented as a framework of a system. An end-to-end QoS management functions on server-level and client-level are provided to maximize all users' satisfaction and each user satisfaction, respectively. End-to-end transmission delay is considered as a case study of the QoS management functions.

A generic model for an adaptive QoS management application

This paper presents an empirical study of non-preemptive Multicriteria-Based, called MCB for short, scheduling policy. MCB scheduling policy uses multiple criteria of each request: arrival time, deadline, and processing time, to balance the requirements on both client and server sites. Weighted aggregation method is applied in this study to conduct the different measurements to a single figure of merit. For the empirical study, an M/G/1 queuing simulation system is implemented with MATLAB to represent a general server's incoming request scheduling system. Comparative simulation results of MCB with best effort scheduling policy on an overload situation show that MCB is an optimal scheduling policy.

Wijak Srisujjalertwaja

Papers

A generic model for an adaptive QoS management application

An Empirical Study on Multicriteria Scheduling