Multi-resource schedulable unit for adaptive application-driven unified resource management in data centers
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7363403/7366770/07366823.pdf?arnumber=7366823
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Scheduling Many-Task Applications on Multi-clouds and Hybrid Clouds;Asynchronous Many-Task Systems and Applications;2023
2. Latency-based Vector Scheduling of Many-task Applications for a Hybrid Cloud;2022 IEEE 15th International Conference on Cloud Computing (CLOUD);2022-07
3. Survey of Edge Computing Based on a Generalized Framework and Some Recommendation;Edge Computing – EDGE 2020;2020
4. A Vector-Scheduling Approach for Running Many-Task Applications in the Cloud;Lecture Notes in Computer Science;2018
5. Network and server resource management strategies for data centre infrastructures: A survey;Computer Networks;2016-09
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