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Published in 2023 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2021.3128360
Abstract: Coflow scheduling is critical to data-parallel applications in data centers. While schemes like Varys can achieve optimal performance, they require a priori information about coflows which is hard to obtain in practice. Existing non-clairvoyant solutions…
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Keywords:
coflow scheduling;
bottleneck aware;
non clairvoyant;
bottleneck flows ... See more keywords
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Published in 2018 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2018.2858801
Abstract: In data centers, the coflow abstraction is proposed to better express the requirements and communication semantics of a group of parallel flows generated by the jobs of cluster computing frameworks. Knowing the coflow-level information, such…
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Keywords:
information;
based coflow;
coflow scheduling;
level ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2021.3132361
Abstract: Training a neural network requires retraining the same model many times to search for the configuration of hyper-parameters with the best training result. It is common to launch multiple training jobs and evaluate them in…
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Keywords:
coflow scheduling;
stage aware;
network;
stage ... See more keywords
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Published in 2019 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2018.2889685
Abstract: With the booming development of data parallel frameworks, the coflow abstraction has been greatly favored by data center transport designs, for its prominent ability in capturing application-level semantics. To accelerate job completion, coflow completion time…
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Keywords:
coflow scheduling;
aware coflow;
distributed bottleneck;
bottleneck aware ... See more keywords