Scalability of efficient and dynamic workload distribution in autonomic cloud computing
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6767437/6781240/06781244.pdf?arnumber=6781244
Cited by 8 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. Prognostic and Health Management with Autonomic Computing for Cloud Systems;2022 8th International Symposium on System Security, Safety, and Reliability (ISSSR);2022-10
2. Towards Industry 4.0 Through Cloud Resource Management;Autonomic Computing in Cloud Resource Management in Industry 4.0;2021
3. Autonomic task scheduling algorithm for dynamic workloads through a load balancing technique for the cloud-computing environment;Cluster Computing;2020-09-03
4. TARNN: Task‐aware autonomic resource management using neural networks in cloud environment;Concurrency and Computation: Practice and Experience;2019-08-04
5. Resource Provisioning Based Scheduling Framework for Execution of Heterogeneous and Clustered Workloads in Clouds: from Fundamental to Autonomic Offering;Journal of Grid Computing;2018-01-19
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