Bechir Alaya
Task management is of a paramount importance because of the daily execution of more or less urgent and important tasks. In this paper, we propose a policy to indicate the necessary tasks and calculate their ranking, using a compromise between the available resources and the quality of service (QoS) granularity in the same task type. We applied a guaranteed technique in order to achieve an intelligent loss of tasks according to the importance of each task. A dynamicity of constraints was then used to attain an increase of availability, performance, reliability and system dependability. The results obtained from the proposed policy reveal that this type of policy can be extremely valuable for companies that wish to focus their efforts and resources to guarantee a satisfactory QoS for their clients.
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