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- W3181375436 abstract "Distributed applications, such as database queries and distributed training, consist of both compute and network tasks. DAG-based abstraction primarily targets compute tasks and has no explicit network-level scheduling. In contrast, Coflow abstraction collectively schedules network flows among compute tasks but lacks the end-to-end view of the application DAG. Because of the dependencies and interactions between these two types of tasks, it is sub-optimal to only consider one of them. We argue that co-scheduling of both compute and network tasks can help applications towards the globally optimal end-to-end performance. However, none of the existing abstractions can provide fine-grained information for co-scheduling. We propose MXDAG, an abstraction to treat both compute and network tasks explicitly. It can capture the dependencies and interactions of both compute and network tasks leading to improved application performance." @default.
- W3181375436 created "2021-07-19" @default.
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- W3181375436 date "2021-07-15" @default.
- W3181375436 modified "2023-09-23" @default.
- W3181375436 title "MXDAG: A Hybrid Abstraction for Cluster Applications." @default.
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