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Resource management of enterprise cloud systems using layered queuing and historical performance models.

, , , , , and . IPDPS Workshops, page 1-8. IEEE, (2010)

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Resource management of enterprise cloud systems using layered queuing and historical performance models., , , , , and . IPDPS Workshops, page 1-8. IEEE, (2010)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)A Formative eAssessment Co-Design Case Study., , , , , and . ICALT, page 35-37. IEEE Computer Society, (2010)Mapping DAG-based applications to multiclusters with background workload., , , , , and . CCGRID, page 855-862. IEEE Computer Society, (2005)A Categorisation of Cloud Computing Business Models., , , and . CCGRID, page 509-512. IEEE Computer Society, (2010)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)Predicting the Effect on Performance of Container-Managed Persistence in a Distributed Enterprise Application., , , , , and . IPDPS, page 1-8. IEEE, (2007)An Investigation into the Application of Different Performance Prediction Techniques to e-Commerce Applications., , , and . IPDPS, IEEE Computer Society, (2004)Performance-Aware Load Balancing for Multiclusters., , , , and . ISPA, volume 3358 of Lecture Notes in Computer Science, page 635-647. Springer, (2004)