Load‐balanced and locality‐aware scheduling for data‐intensive workloads at extreme scales-Reference-Cited by-同舟云学术

Load‐balanced and locality‐aware scheduling for data‐intensive workloads at extreme scales

Published:2015-08-14 Issue:1 Volume:28 Page:70-94
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Wang Ke¹,Qiao Kan²,Sadooghi Iman¹,Zhou Xiaobing³,Li Tonglin¹,Lang Michael⁴,Raicu Ioan¹⁵

Affiliation:

1. Department of Computer Science Illinois Institute of Technology 10 W 31st St, Stuart Building, Room 002 Chicago IL 60616 USA

2. Google Inc. Seattle WA 98103 USA

3. Hortonworks Inc. Santa Clara CA USA

4. Los Alamos National Laboratory Los Alamos NM USA

5. Argonne National Laboratory Lemont IL USA

Funder

U.S. Department of Energy

National Science Foundation (NSF)

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.3617

Reference78 articles.

1. RaicuI FosterI ZhaoY. “Many‐task computing for grids and supercomputers” Invited Paper IEEE MTAGS2008.

2. WangK ZhouX ChenH LangM RaicuI “Next generation job management systems for extreme scale ensemble computing ” in Proc. 23rd Int. Symp. High Perform. Distrib. Comput. 2014; pp. 111–114.

3. WangK ZhouX QiaoK LangM McClellandB RaicuI “Towards scalable distributed workload manager with monitoring‐based weakly consistent resource stealing ” in Proc. of the 24th Int. symposium on High‐performance parallel and distributed computing 2015.

4. ZhouX ChenH et al.Exploring distributed resource allocation techniques in the SLURM job management system [online].2013. Available:http://datasys.cs.iit.edu/reports/2013_IIT‐CS554_dist‐slurm.pdf[Accessed on 15 December 2013].

5. RamamurthyK WangK RaicuI.Exploring distributed HPC scheduling in MATRIX [online].2013. Available:http://www.cs.iit.edu/~iraicu/teaching/CS554‐F13/best‐reports/2013_IIT‐CS554_MATRIX‐HPC.pdf[Accessed on 15 December 2013].

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