Abstract
Resource allocation (RA) is one of the most important stages of distributed query processing in Data Grid systems. Recently, a number of papers that propose different methods for RA were published. To deal with specific characteristics of the data grid systems, such as dynamicity, heterogeneity and large-scale, many studies extend classic methods from distributed and parallel databases domains. Others invite fundamentally different methods based on incentives for autonomous nodes. The present study provides a brief description, qualitative comparison and performance evaluation of the most interesting approaches (extended classic and incentive-based) for RA. Both approaches are promising and appropriate for successful data grid systems.
This work was supported in part by the French National Research Agency ANR, PAIRSE Project, Grant number -09-SEGI-008.
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Epimakhov, I., Hameurlain, A., Dillon, T., Morvan, F. (2011). Resource Scheduling Methods for Query Optimization in Data Grid Systems. In: Eder, J., Bielikova, M., Tjoa, A.M. (eds) Advances in Databases and Information Systems. ADBIS 2011. Lecture Notes in Computer Science, vol 6909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23737-9_14
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