I am a Ph.D. student at Carnegie Mellon University’s Computer Science Department, working with Professor Greg Ganger. I am also affiliated with the Parallel Data Lab.
I am interested in the broad area of cloud computing, with a focus on the topic of cluster scheduling.
Committee
Gregory R. Ganger (Chair), Phillip B. Gibbons, George Amvrosiadis, Carlo Curino (Microsoft GSL)
Proposal — Carnegie Mellon University, 2020-02-06
[Document] [Slides] [Poster]
Unearthing inter-job dependencies for better cluster scheduling
A. Chung, S. Krishnan, K. Karanasos, C. Curino, G. R. Ganger
USENIX Symposium on Operating Systems Design and Implementation, 2020 (OSDI’20)
[Link] [BibTeX] [Simulator patch]
Stratus: cost-aware container scheduling in the public cloud
A. Chung, J. W. Park, G. R. Ganger
ACM Symposium on Cloud Computing, 2018 (SoCC’18)
[Best student paper award]
[Link] [BibTeX]
Tributary: spot-dancing for elastic services with latency SLOs
A. Harlap*, A. Chung*, A. Tumanov, G. R. Ganger, P. B. Gibbons (* denotes equal contribution)
USENIX Annual Technical Conference, 2018 (USENIX ATC’18)
[Link] [BibTeX]
Proteus: agile ML elasticity through tiered reliability in dynamic resource markets
A. Harlap, A. Tumanov, A. Chung, G. R. Ganger, P. B. Gibbons
ACM European Conference on Computer Systems, 2017 (EuroSys’17)
[Link] [BibTeX]
Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters
Y. Yang, G. W. Kim, W. W. Song, Y. Lee, A. Chung, Z. Qian, B. Cho, B. G. Chun
ACM European Conference on Computer Systems, 2017 (EuroSys’17)
[Link] [BibTeX]