Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce-Reference-Cited by-同舟云学术

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Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce

Published:2017-05 Issue: Volume: Page:
ISSN:
Container-title:2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
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Author:

Clemente-Castello Francisco J.,Nicolae Bogdan,Rafique M. Mustafa,Mayo Rafael,Fernandez Juan Carlos

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7973338/7973673/07973701.pdf?arnumber=7973701

Cited by 12 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. Consideration of a Supercomputing System with Cloud Bursting Functionality from an Operational Perspective;2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom);2022-12

2. Latency-Aware Task Scheduling in Software-Defined Edge and Cloud Computing with Erasure-Coded Storage Systems;IEEE Transactions on Cloud Computing;2022

3. Resource Recommender for Cloud-Edge Engineering;Information;2021-05-25

4. Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions;IEEE Communications Surveys & Tutorials;2021

5. Hybrid scheduling for scientific workflows on hybrid clouds;Computer Networks;2020-11

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