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Resource boxing: converting realistic cloud task utilization patterns for theoretical scheduling.

, , , and . UCC, page 138-147. ACM, (2016)

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Decomposition algorithms for submodular optimization with applications to parallel machine scheduling with controllable processing times., , and . Math. Program., 153 (2): 495-534 (2015)Preemptive models of scheduling with controllable processing times and of scheduling with imprecise computation: A review of solution approaches., , and . Eur. J. Oper. Res., 266 (3): 795-818 (2018)Affinity-Aware Resource Provisioning for Long-Running Applications in Shared Clusters., , , , , , and . CoRR, (2022)Handling Scheduling Problems with Controllable Parameters by Methods of Submodular Optimization., , and . DOOR, volume 9869 of Lecture Notes in Computer Science, page 74-90. Springer, (2016)Complexity of mixed shop scheduling problems: A survey., , and . Eur. J. Oper. Res., 120 (2): 343-351 (2000)Resource boxing: converting realistic cloud task utilization patterns for theoretical scheduling., , , and . UCC, page 138-147. ACM, (2016)A Submodular Optimization Approach to Bicriteria Scheduling Problems with Controllable Processing Times on Parallel Machines., , and . SIAM J. Discret. Math., 27 (1): 186-204 (2013)Models and algorithms for energy-efficient scheduling with immediate start of jobs., , , and . J. Sched., 21 (5): 505-516 (2018)Scheduling Bag-of-Tasks Applications to Optimize Computation Time and Cost., and . PPAM (2), volume 8385 of Lecture Notes in Computer Science, page 3-12. Springer, (2013)Fast Divide-and-Conquer Algorithms for Preemptive Scheduling Problems with Controllable Processing Times - A Polymatroid Optimization Approach., , and . ESA, volume 5193 of Lecture Notes in Computer Science, page 756-767. Springer, (2008)