Advances in Grid Computing by Zoran Constantinescu

By Zoran Constantinescu

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4 shows one example of resource definition by XML language. The requirement of memory must be completely satisfied by the resource, but the assignment of the memory more than requirements can not improve performance. Thus the requirement of memory is not used in aggregated QoS parameters in equation 14. Therefore the weight of bandwidth is the weight of CPU subtracted from one. The CPU power and bandwidth have a main role in improving turnaround time and if the broker assigns stronger CPU or more bandwidth, this assignment will cause the reduction of turnaround time.

Also, the client introduces a weight for each parameter to show the importance of the parameter. The weights range from 0 to 1 and the sum of all the weights is equal to one. We multiply the weight into (qires / qitask) as mentioned in (4). Finally the best match resource will be the one that can provide the maximum of summation in (4). Note that matching is done by aggregating QoS parameters which simplifies the matching method. You may say that using aggregated QoS parameters, some requirements may be neglected.

You may say that using aggregated QoS parameters, some requirements may be neglected. This argument can be addressed by the introduction of the proper weights. If user assigns a higher weight for a QoS parameter, the requirement surely will be met. The proposed aggregation in (4) has one more advantage, whereas the overheads and matching time is concerned. It is obvious that the matching time for aggregated QoS is a fraction of time when we do not aggregate the k parameters. The three methods for matching are proposed by using summation in (4).

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