Abstract
In order to charge the computer power in the grid, we have made an effort to work towards a standard pricing unit. Currently there is a lot of work done towards the development of grid economy models and architectures. But when it comes to charging, the usual metric which has been popularly used is $ per CPU per Hour which seems to be too simple. Our effort is to make this metric more meaningful to both grid service provider and client. We argue that in a particular grid host the metric should reflect the true load consumed by the clients and the delays caused due to the other loads. Further it should eventually reflect the network, memory etc consumed by the client as well.
Previously we have studied about the prediction in the grid after introducing the division of the load average at the kernel level. This gave more meaning to the historical load collection as CPU historical load data had been collected separately for each login user. Interestingly, later on the division of load strategy has been helpful in the development of a meaningful tariff mechanism and would be demonstrated in this paper.
Eventually this fare mechanism would be used to predict the computational costs, which would certainly contribute to the scheduling in the grid.
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Seneviratne, S., Levy, D.: Enhanced Host Load Prediction by Division of User Load Signal for Grid Computing. Submitted to Journal of Cluster Computing
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© 2005 Springer-Verlag Berlin Heidelberg
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Seneviratne, S., Levy, D. (2005). Introduction to a New Tariff Mechanism for Charging for Computer Power in the Grid. In: Hobbs, M., Goscinski, A.M., Zhou, W. (eds) Distributed and Parallel Computing. ICA3PP 2005. Lecture Notes in Computer Science, vol 3719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564621_37
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DOI: https://doi.org/10.1007/11564621_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29235-7
Online ISBN: 978-3-540-32071-5
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