Negotiating and Enforcing QoS and SLAs in Grid and Cloud Computing
GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
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This paper presents an analytical discussion of parallel database aggregate algorithms (as count, sum, average,etc.) on Grids, compares the findings to the classical generalized multiprocessor framework, and describes an optimization algorithm to maximize performance for a heterogenous environment. In this context we develop a concise and comprehensive analytical model for database sub-queries with parallel aggregate operators. Based on these results the paper proves that by smart enhancement exploiting the heterogeneity of the Grid the performance of the algorithms for aggregate operations can be increased remarkably.