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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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Analytics for resiliency in the mainframe., , , , , and . IBM J. Res. Dev., (2013)Resource management of enterprise cloud systems using layered queuing and historical performance models., , , , , and . IPDPS Workshops, page 1-8. IEEE, (2010)IBM Research Division cloud computing initiative., , , , , , , , , and 1 other author(s). IBM J. Res. Dev., 53 (4): 1 (2009)Adaptive Algorithms for Managing a Distributed Data Processing Workload., , , , and . IBM Syst. J., 36 (2): 242-283 (1997)Autonomic Load Balancing with Workload Managers., , , , , and . Int. Trans. Syst. Sci. Appl., 2 (1): 91-98 (2006)An Investigation into the Application of Different Performance Prediction Methods to Distributed Enterprise Applications., , , , , and . J. Supercomput., 34 (2): 93-111 (2005)Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models., , , , , , , , , and . Simul. Model. Pract. Theory, 19 (6): 1479-1495 (2011)LedgerGuard: Improving Blockchain Ledger Dependability., , , , , and . ICBC, volume 10974 of Lecture Notes in Computer Science, page 251-258. Springer, (2018)Managing a Multimedia Stream Server in a Hetrogeneous Work Environment., , and . PDPTA, page 482-488. CSREA Press, (1999)A contrast between mainframe Parallel Sysplex availability and selected distributed computing availability solutions., and . IBM J. Res. Dev., (2013)