Mobile Ad Hoc Grid deals with the challenges in resource discovery and job scheduling due to its mobility and power consumption. In this paper a new grid computing technique is implemented to manage the congestion control with job scheduling. The proposed addition of the mobile ad hoc network with in AHGL can offer maximum network utility. The model is implemented in the NS-2 network simulator.
The Modified Max weight algorithm (MM) manages traffic and schedules the prioritized jobs in mobile Ad hoc Grid Layer (m-AHGL) based on joint scheduling and congestion control along with the calculation of urgency weight and the proposed algorithm achieves network utility maximization with effective maintenance of Per Destination Queue (PDQ). The priority for the jobs to be scheduled are based upon the type of application, transmission rate and packet size. Amongst the above parameters, the nature of application is given importance in the calculation of priority. The proposed MM calculation of urgency weight for prioritized jobs controls congestion and also provides a solution for the arrival of two jobs with equal urgency weights.
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