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Home » Graviton: Twisting Space and Time to Speed-up CoFlows
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Graviton: Twisting Space and Time to Speed-up CoFlows

Authors: 

Akshay Jajoo, Rohan Gandhi, and Y. Charlie Hu, Purdue University

Abstract: 

In this paper, we make a key observation that using multiple priority queues and weighted fair sharing at each port, Aalo does a good job in approximating SJF, but it does so only at the queue-granularity, as using FIFO to schedule CoFlows in each queue is rather simplistic, and has no reminiscence of SJF.

Instead, we discuss three insights into Aalo’s scheduler where exploiting the spatial dimension of the problem domain, i.e., the width (number of ports) of the CoFlows, can lead to better scheduling policies within each priority queue, improving the overall CCT.

Akshay Jajoo, Purdue University

Rohan Gandhi, Purdue University

Y. Charlie Hu, Purdue University

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BibTeX
@inproceedings {196328,
author = {Akshay Jajoo and Rohan Gandhi and Y. Charlie Hu},
title = {Graviton: Twisting Space and Time to Speed-up {CoFlows}},
booktitle = {8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 16)},
year = {2016},
address = {Denver, CO},
url = {https://www.usenix.org/conference/hotcloud16/workshop-program/presentation/jajoo},
publisher = {USENIX Association},
month = jun,
}
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