Megha: Decentralized Federated Scheduling for Data Center Workloads
Author:
Affiliation:
1. PES University,Bangalore,India
2. Cloud Computing Innovation Council of India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10041243/10041245/10041383.pdf?arnumber=10041383
Reference24 articles.
1. On the diversity of cluster workloads and its impact on research results;Amvrosiadis,2018
2. Apollo: Scalable and coordinated scheduling for cloud-scale computing;Boutin,2014
3. Interactive analytical processing in big data systems
4. Characterizing Co-located Datacenter Workloads
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2. Constraint-Aware Federated Scheduling for Data Center Workloads;IoT;2023-11-08
3. Scalable, High-Quality Scheduling of Data Center Workloads;2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW);2023-05
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