NEtwork-aware Optimization for Query Executions in Large Systems

Project Information

NEO-QE

Grant agreement ID: 799066

DOI

10.3030/799066

Project terminated on 25 October 2019

EC signature date 28 March 2018

Start date 1 July 2018

End date 30 June 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 187 866,00

EU contribution

€ 187 866,00

Coordinated by

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Ireland

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (5)

Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling

Author(s): Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos
Published in: Euro-Par 2018: Parallel Processing, 2018, Page(s) 293-305
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-96983-1_21

Learning Process Models in IoT Edge

Author(s): Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy
Published in: 2019 IEEE World Congress on Services (SERVICES), 2019, Page(s) 147-150, ISBN 978-1-7281-3851-0
Publisher: IEEE
DOI: 10.1109/services.2019.00043

Resilient Neural Network Training for Accelerators with Computing Errors

Author(s): Dawen Xu, Kouzi Xing, Cheng Liu, Ying Wang, Yulin Dai, Long Cheng, Huawei Li, Lei Zhang
Published in: 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2019, Page(s) 99-102, ISBN 978-1-7281-1601-3
Publisher: IEEE
DOI: 10.1109/asap.2019.00-23

FlowCon - Elastic Flow Configuration for Containerized Deep Learning Applications

Author(s): Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou
Published in: Proceedings of the 48th International Conference on Parallel Processing - ICPP 2019, 2019, Page(s) 1-10, ISBN 9781-450362955
Publisher: ACM Press
DOI: 10.1145/3337821.3337868

Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing

Author(s): Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien
Published in: 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2019, Page(s) 600-603, ISBN 978-1-7281-0912-1
Publisher: IEEE
DOI: 10.1109/ccgrid.2019.00077

Peer reviewed articles (3)

Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment

Author(s): Long Cheng, Boudewijn Van Dongen, Wil Van Der Aalst
Published in: IEEE Transactions on Services Computing, 2019, Page(s) 1-1, ISSN 1939-1374
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsc.2019.2906203

Load-balancing distributed outer joins through operator decomposition

Author(s): Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang
Published in: Journal of Parallel and Distributed Computing, Issue 132, 2019, Page(s) 21-35, ISSN 0743-7315
Publisher: Academic Press
DOI: 10.1016/j.jpdc.2019.05.008

A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems

Author(s): Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy
Published in: IEEE Systems Journal, 2020, Page(s) 1-12, ISSN 1932-8184
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jsyst.2019.2960088