Scheduling strategy for computational-intensive data flow in generalized cluster environments-Reference-Cited by-同舟云学术

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Scheduling strategy for computational-intensive data flow in generalized cluster environments

Published:2019-09 Issue: Volume:82 Page:105571
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhang Kejia,Fu Yu,Hu Yanan,Li Chunsheng,Li Panchi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Northeast Petroleum University

Publisher

Elsevier BV

Subject

Software

Reference37 articles.

1. Cloud resource management: towards efficient execution of large-scale scientific applications and workflows on complex infrastructures;Gonzalez;J. Cloud Comput.,2017

2. Adaptive task scheduling strategy based on dynamic workload adjustment for heterogeneous hadoop clusters;Xu;IEEE Syst. J.,2017

3. Edge computing;Satyanarayanan;Computer,2017

4. Edge computing: Vision and challenges;Shi;IEEE Internet of Things J.,2016

5. Cost-effective scheduling precedence constrained tasks in cloud computing;Wang,2017

Cited by 2 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. Coalition Structure Generation in Edge Computing Environment With Multitasking Concurrency;IEEE Internet of Things Journal;2023-03-01

2. A coalition-structure’s generation method for solving cooperative computing problems in edge computing environments;Information Sciences;2020-10

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