MRASS: Dynamic Task Scheduling enabled High Multi-cluster Resource Availability in JointCloud-Reference-Cited by-同舟云学术

MRASS: Dynamic Task Scheduling enabled High Multi-cluster Resource Availability in JointCloud

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Joint Cloud Computing (JCC)
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Author:

Gao Fei¹,Wang Huaimin¹,Shi Peichang¹,Fu Xiang¹,Zhong Tao¹,Kong Jinzhu²

Affiliation:

1. National University of Defense Technology,National Key Laboratory of Parallel and Distributed Processing, College of Computer Science,Changsha,China,410073

2. Kylin Software Co.LTD,Changsha,China,410073

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897094/9898078/09898086.pdf?arnumber=9898086

Reference19 articles.

1. Distributed scheduling in Kubernetes based on MAS for Fog-in-the-loop applications

2. Research on Kubernetes' Resource Scheduling Scheme

3. Multi-resource packing for cluster schedulers

4. Consolidating complementary VMs with spatial/temporal-awareness in cloud datacenters

5. Multi-objective optimization for rebalancing virtual machine placement

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