Abstract
In this paper, we propose a dynamic pricing strategy which is based peer-to-peer grid computing used for a SLA_based super scheduling and greedy backfilling resource allocation mechanism. Our goal is making load balancing in the overall grid system, by changing the value of resources. Without any pricing policy in grid, because of increasing load of cheaper resources and lack of demands for expensive resources, system will be out of balance.
In this paper, our attention is towards the load factor in the overall system and the load factor on each resource. The rates of demand and supply for each resource are two other criteria for overall system price balancing in system. If the price of a resource is high its demand becomes low hence a price adjusting algorithm must be active to insure acceptable utilization of resources. On the other hand is the price of a resource is low it will receive many demands which in turn will increase the turnaround time of the requests. These algorithms are developed in this research and the overall effectiveness of the algorithm is evaluated. In result, we almost receive balancing state at overall system.
The key advantages of our approach are (1) increase in the total earning of resource owners and users, (2) increase in the number of resources being used, (3) increase in the number of accepted jobs, and (4) decrease in the rate of budget spent of users.
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Bazoubandi, R., Abdoli, F. (2015). A Dynamic Pricing Algorithm for Super Scheduling of Computational Grid. In: Sobh, T., Elleithy, K. (eds) Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering. Lecture Notes in Electrical Engineering, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-06773-5_60
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