A modified black hole-based multi-objective workflow scheduling improved using the priority queues for cloud computing environment
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8375672/8387228/08387254.pdf?arnumber=8387254
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. A state lossless scheduling strategy in distributed stream computing systems;Journal of Network and Computer Applications;2022-10
2. Federated Geo-Distributed Clouds: Optimizing Resource Allocation Based on Request Type Using Autonomous and Multi-objective Resource Sharing Model;Big Data Research;2021-05
3. Autonomic task scheduling algorithm for dynamic workloads through a load balancing technique for the cloud-computing environment;Cluster Computing;2020-09-03
4. A Dynamic Task Scheduling Algorithm Improved by Load Balancing in Cloud Computing;2020 6th International Conference on Web Research (ICWR);2020-04
5. Scheduling scientific workflows on virtual machines using a Pareto and hypervolume based black hole optimization algorithm;The Journal of Supercomputing;2020-02-06
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