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A scheduling framework for distributed key-value stores and its application to tail latency minimization.

, , , , and . J. Sched., 27 (2): 183-202 (April 2024)

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Trading performance for memory in sparse direct solvers using low-rank compression., , , and . Future Gener. Comput. Syst., (2022)Memory and data aware scheduling.. (2018)Partitioning Tree-Shaped Task Graphs for Distributed Platforms With Limited Memory., , and . IEEE Trans. Parallel Distributed Syst., 31 (7): 1533-1544 (2020)Dynamic DAG Scheduling Under Memory Constraints for Shared-Memory Platforms., , , and . Int. J. Netw. Comput., 11 (1): 27-49 (2021)Optimal Checkpointing Strategies for Iterative Applications., , , and . IEEE Trans. Parallel Distributed Syst., 33 (3): 507-522 (2022)Scheduling on Two Types of Resources: a Survey., , , , , , , and . CoRR, (2019)Checkpointing à la Young/Daly: An Overview., , , , , , , , and . IC3, page 701-710. ACM, (2022)Revisiting dynamic DAG scheduling under memory constraints for shared-memory platforms., , , and . IPDPS Workshops, page 597-606. IEEE, (2020)VoroNet: A scalable object network based on Voronoi tessellations., , , and . IPDPS, page 1-10. IEEE, (2007)A scheduling framework for distributed key-value stores and its application to tail latency minimization., , , , and . J. Sched., 27 (2): 183-202 (April 2024)