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An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications.

, , , , , and . J. Supercomput., 34 (2): 93-111 (2005)

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Performance evaluation of scheduling applications with DAG topologies on multiclusters with independent local schedulers., , , and . IPDPS, IEEE, (2006)Dynamic Scheduling of Parallel Real-Time Jobs by Modelling Spare Capabilities in Heterogeneous Clusters., , , and . CLUSTER, page 2-10. IEEE Computer Society, (2003)Performance-Based Dynamic Scheduling of Hybrid Real-Time Applications on a Cluster of Hetrogeneous Workstations., , , and . Euro-Par, volume 2790 of Lecture Notes in Computer Science, page 195-200. Springer, (2003)Comparing Layered Queuing and Historical Performance Models of a Distributed Enterprise Application., , , , and . Parallel and Distributed Computing and Networks, page 608-613. IASTED/ACTA Press, (2005)Performance prediction for a code with data-dependent runtimes., , , , , and . Concurr. Comput. Pract. Exp., 20 (3): 195-206 (2008)An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications., , , , , and . J. Supercomput., 34 (2): 93-111 (2005)The impact of predictive inaccuracies on execution scheduling., , , and . Perform. Evaluation, 60 (1-4): 127-139 (2005)A Comparative Evaluation of Two Techniques for Predicting the Performance of Dynamic Enterprise Systems., , , , , and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 163-170. Central Institute for Applied Mathematics, Jülich, Germany, (2005)Performance feature identification by comparative trace analysis., and . Future Gener. Comput. Syst., 22 (3): 369-380 (2006)Allocating Non-Real-Time and Soft Real-Time Jobs in Multiclusters., , , , , and . IEEE Trans. Parallel Distributed Syst., 17 (2): 99-112 (2006)