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Shweta Khare
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2019
Barve, Y.
,
S. Shekhar
,
A. Chhokra
,
S. Khare
,
Z. Kang
,
A. Bhattacharjee
,
H. Sun
, and
A. Gokhale
,
"
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
",
IEEE International Conference on Cloud Engineering (IC2E)
, Prague, Czech Republic, June/2019.
Abstract
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Bhattacharjee, A.
,
Y. Barve
,
S. Khare
,
S. Bao
, and
A. Gokhale
,
"
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks
",
USENIX Conference on Operational Machine Learning (OpML '19)
, 2019.
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2018
Barve, Y.
,
S. Shekhar
,
S. Khare
,
A. Bhattacharjee
, and
A. Gokhale
,
"
UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications
",
2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC)
, pp. 1-10, Dec, 2018.
Abstract
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Download:
PID5624157.pdf
(863.37 KB)
2017
Khare, S.
,
J. Sallai
,
A. Dubey
, and
A. Gokhale
,
"
Towards Low-Cost Indoor Localization using Edge Computing Resources
",
20th IEEE International Symposium on Real-Time Computing (ISORC)
: IEEE, 05/2017.
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Download:
short-paper-low.pdf
(519.65 KB)
Pradhan, S.
,
A. Dubey
,
S. Khare
,
S. Nannapaneni
,
A. Gokhale
,
S. Mahadevan
,
D. C. Schmidt
, and
M. Lehofer
,
"
CHARIOT: A Holistic, Goal Driven Orchestration Solution for Resilient IoT Applications
",
ACM Transactions on Cyber-Physical Systems
, 2017.
Abstract
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Download:
CHARIOT.pdf
(8.46 MB)
2016
Pradhan, S.
,
A. Dubey
,
S. Khare
,
F. Sun
,
J. Sallai
,
A. Gokhale
,
D. Schmidt
,
M. Lehofer
, and
M. Sturm
,
"
Poster Abstract: A Distributed and Resilient Platform for City-scale Smart Systems
",
The First IEEE/ACM Symposium on Edge Computing
, Washington DC, 2016.
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Download:
poster-abstract-distributed.pdf
(217.55 KB)
2015
Khare, S.
,
K. An
,
A. Gokhale
,
S. Tambe
, and
A. Meena
,
"
Reactive stream processing for data-centric publish/subscribe
",
9th ACM International Conference on Distributed Event-Based Systems
, Oslo, Norway, ACM, 06/2015.
Abstract
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2014
Khare, S.
,
S. Tambe
,
K. An
,
A. Gokhale
, and
P. Pazandak
,
Scalable Reactive Stream Processing Using DDS and Rx
,
, 2014.
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Download:
Scalable Reactive Stream Processing Using DDS and Rx.pdf
(942.2 KB)