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Prioritized flow control is a type of QoS provisioning in which each class is provided a different QoS by assigning priority to one class over another in terms of allocating resources. It is an effective means to provide service differentiation to different class of service in mobile ad hoc networks. So the objective is to achieve a desired level of service to high-priority flows so that the wireless medium is completely utilized using adaptive rate control. In this paper, we propose to design QoS architecture for Bandwidth Management and Rate Control in MANET. Our proposed QoS architecture contains an adaptive bandwidth management technique which measures the available bandwidth at each node in real-time and it is then propagated on demand by the QoS routing protocol. The source nodes perform call admission control for different priority of flows based on the bandwidth information provided by the QoS routing. The network bandwidth utilization is monitored continuously and network congestion is detected in advance. Then a rate control mechanism is used to regulate best-effort traffic.

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Grids have emerged as paradigms for the next generation parallel and distributed computing. Computational Grid can be defined as large-scale high-performance distributed computing environments that provide access to high-end computational resources. Grid scheduling is the process of scheduling jobs over grid resources. Improving overall system performance with a lower turn around time is an important objective of Grid scheduling. In this paper a Priority Based Scheduling Algorithm is proposed. In this algorithm a new parameter named "priority" has been taken into consideration. The algorithm classifies the jobs into high, medium and low categories based on their priority. The priority assignment is done by considering the computational power of job and level of parallelism. The value for level of parallelism is assigned based on the amount of parallelism exhibited by the job and the amount of parallelism exhibited by the available resources. Generally, a job, which needs high computational power and exhibits low parallelism is given a high priority. Prioritizing the jobs in this way can improve the performance of computational grids. The effectiveness of our algorithm is evaluated through simulation results and its superiority over other known algorithms is demonstrated.

Abstract-In Mobile ad hoc networks, the unstable transport layer and inhibited amount of traffic being carried out by the network is owing to the high packet loss rates and frequent topological changes. It is essential that least available bandwidth and end-to-end latency along with congestion around a link are integrated in a QoS-based routing metric for MANETs. In this paper we develop a QOS-based, Robust Multipath Routing (QRMR) protocol for mobile ad hoc networks to allot weights to individual links, depending on the metrics link quality, channel quality and end-to-end delay. The individual link weights are combined into a routing metric to validate the load balancing and interference between links using the same channel. Consequently, the traffic is balanced and the network capacity is improved as the weight value assists the routing protocol to evade routing traffic through congested area. Subsequently, the selection of the proportion of traffic to be routed to each neighbor is made to perform routing such that the weight of the node is a possible minimum. We illustrate the robustness of our protocol as it accomplishes increased packet delivery ratio with reduced latency, through simulation results.