Abstract
As optimizations in the field of QoS maintenance continue to evolve and mitigate the effects of unpredictable nature of networks, implementing them in proper sequence to achieve the highest performance efficiency is the biggest challenge. Moreover, each such QoS implementation mechanism must be maintained adaptively to cope up with variations in the network or changes in the user scenarios. To resolve conflicts, the system must capture system policies, including end-to-end scheduling policies, policies to decide which application’s QoS to degrade when there are not enough resources to provide the desired QoS to all applications, and admissions control policies. In this chapter, an optimization algorithm is proposed driven by real-time heuristic incremental state-space search that fulfills the aim of maintaining adaptive QoS in multiple call scenarios and under diverse network conditions by applying the available QoS optimization techniques in proper sequence.
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