242 lines
11 KiB
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242 lines
11 KiB
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\providecommand{\BIBdecl}{\relax}
|
||
\BIBdecl
|
||
|
||
\bibitem{Ma15RS_bigdata}
|
||
``Remote sensing big data computing: Challenges and opportunities,''
|
||
\emph{Future Gener. Comput. Syst.}, vol.~51, pp. 47--60, 2015, special
|
||
Section: A Note on New Trends in Data-Aware Scheduling and Resource
|
||
Provisioning in Modern HPC Systems.
|
||
|
||
\bibitem{Haut21DDL_RS}
|
||
J.~M. Haut, M.~E. Paoletti, S.~Moreno{-}{\'{A}}lvarez, J.~Plaza,
|
||
J.~Rico{-}Gallego, and A.~Plaza, ``Distributed deep learning for remote
|
||
sensing data interpretation,'' \emph{Proc. {IEEE}}, vol. 109, no.~8, pp.
|
||
1320--1349, 2021.
|
||
|
||
\bibitem{LEWIS17datacube}
|
||
``The australian geoscience data cube — foundations and lessons learned,''
|
||
\emph{Remote Sens. Environ.}, vol. 202, pp. 276--292, 2017, big Remotely
|
||
Sensed Data: tools, applications and experiences.
|
||
|
||
\bibitem{Yan21RS_manage1}
|
||
J.~Yan, Y.~Liu, L.~Wang, Z.~Wang, X.~Huang, and H.~Liu, ``An efficient
|
||
organization method for large-scale and long time-series remote sensing data
|
||
in a cloud computing environment,'' \emph{{IEEE} J. Sel. Top. Appl. Earth
|
||
Obs. Remote. Sens.}, vol.~14, pp. 9350--9363, 2021.
|
||
|
||
\bibitem{liu24mstgi}
|
||
H.~Liu, J.~Yan, J.~Wang, D.~Zhang, J.~Li, L.~He, and X.~Yu, ``Mstgi: a
|
||
multi-scale spatio-temporal grid index model for remote-sensing big data
|
||
retrieval,'' \emph{Remote Sensing Letters}, vol.~15, no.~1, pp. 44--54, 2024.
|
||
|
||
\bibitem{Strobl08PostGIS}
|
||
C.~Strobl, ``Postgis,'' in \emph{Encyclopedia of {GIS}}, S.~Shekhar and
|
||
H.~Xiong, Eds.\hskip 1em plus 0.5em minus 0.4em\relax Springer, 2008, pp.
|
||
891--898.
|
||
|
||
\bibitem{Simoes16PostGIST}
|
||
R.~E.~O. Sim{\~{o}}es, G.~R. de~Queiroz, K.~R. Ferreira, L.~Vinhas, and
|
||
G.~C{\^{a}}mara, ``Postgis-t: towards a spatiotemporal postgresql database
|
||
extension,'' in \emph{{XVII} Brazilian Symposium on Geoinformatics -
|
||
{GEOINFO} 2016, Campos do Jord{\~{a}}o, SP, Brazil, November 27-30, 2016},
|
||
C.~E.~C. Campelo and L.~M. Namikawa, Eds.\hskip 1em plus 0.5em minus
|
||
0.4em\relax {MCTIC/INPE}, 2016, pp. 252--262.
|
||
|
||
\bibitem{suwardi15geohash}
|
||
I.~S. Suwardi, D.~Dharma, D.~P. Satya, and D.~P. Lestari, ``Geohash index based
|
||
spatial data model for corporate,'' in \emph{2015 International Conference on
|
||
Electrical Engineering and Informatics (ICEEI)}.\hskip 1em plus 0.5em minus
|
||
0.4em\relax IEEE, 2015, pp. 478--483.
|
||
|
||
\bibitem{hughes15geomesa}
|
||
J.~N. Hughes, A.~Annex, C.~N. Eichelberger, A.~Fox, A.~Hulbert, and
|
||
M.~Ronquest, ``Geomesa: a distributed architecture for spatio-temporal
|
||
fusion,'' in \emph{Geospatial informatics, fusion, and motion video analytics
|
||
V}, vol. 9473.\hskip 1em plus 0.5em minus 0.4em\relax SPIE, 2015, pp.
|
||
128--140.
|
||
|
||
\bibitem{Li23TrajMesa}
|
||
R.~Li, H.~He, R.~Wang, S.~Ruan, T.~He, J.~Bao, J.~Zhang, L.~Hong, and Y.~Zheng,
|
||
``Trajmesa: {A} distributed nosql-based trajectory data management system,''
|
||
\emph{{IEEE} Trans. Knowl. Data Eng.}, vol.~35, no.~1, pp. 1013--1027, 2023.
|
||
|
||
\bibitem{gorelick17GEE}
|
||
N.~Gorelick, M.~Hancher, M.~Dixon, S.~Ilyushchenko, D.~Thau, and R.~Moore,
|
||
``Google earth engine: Planetary-scale geospatial analysis for everyone,''
|
||
\emph{Remote Sens. Environ.}, vol. 202, pp. 18--27, 2017.
|
||
|
||
\bibitem{riotiler25riotiler}
|
||
\BIBentryALTinterwordspacing
|
||
``rio-tiler: User friendly rasterio plugin to read raster datasets,'' 2025.
|
||
[Online]. Available: \url{https://github.com/cogeotiff/rio-tiler}
|
||
\BIBentrySTDinterwordspacing
|
||
|
||
\bibitem{Thomson12Calvin}
|
||
A.~Thomson, T.~Diamond, S.~Weng, K.~Ren, P.~Shao, and D.~J. Abadi, ``Calvin:
|
||
fast distributed transactions for partitioned database systems,'' in
|
||
\emph{Proceedings of the {ACM} {SIGMOD} International Conference on
|
||
Management of Data, {SIGMOD} 2012, Scottsdale, AZ, USA, May 20-24, 2012},
|
||
K.~S. Candan, Y.~Chen, R.~T. Snodgrass, L.~Gravano, and A.~Fuxman, Eds.\hskip
|
||
1em plus 0.5em minus 0.4em\relax {ACM}, 2012, pp. 1--12.
|
||
|
||
\bibitem{Lim17OCC}
|
||
H.~Lim, M.~Kaminsky, and D.~G. Andersen, ``Cicada: Dependably fast multi-core
|
||
in-memory transactions,'' ser. SIGMOD '17.\hskip 1em plus 0.5em minus
|
||
0.4em\relax New York, NY, USA: Association for Computing Machinery, 2017, p.
|
||
21–35.
|
||
|
||
\bibitem{Rajesh24TunIO}
|
||
N.~Rajesh, K.~Bateman, J.~L. Bez, S.~Byna, A.~Kougkas, and X.~Sun, ``Tunio: An
|
||
ai-powered framework for optimizing {HPC} {I/O},'' in \emph{{IEEE}
|
||
International Parallel and Distributed Processing Symposium, {IPDPS} 2024,
|
||
San Francisco, CA, USA, May 27-31, 2024}.\hskip 1em plus 0.5em minus
|
||
0.4em\relax {IEEE}, 2024, pp. 494--505.
|
||
|
||
\bibitem{Preil25GMAB}
|
||
D.~Preil and M.~Krapp, ``Genetic multi-armed bandits: {A} reinforcement
|
||
learning inspired approach for simulation optimization,'' \emph{{IEEE} Trans.
|
||
Evol. Comput.}, vol.~29, no.~2, pp. 360--374, 2025.
|
||
|
||
\bibitem{Tang12Quad-Tree}
|
||
J.~Tang, Z.~Zhou, K.~Ning, Y.~Sun, and Q.~Wang, ``A novel spatial indexing
|
||
mechanism leveraging dynamic quad-tree regional division,'' in
|
||
\emph{Proceedings of the 2012 International Conference on Information
|
||
Technology and Software Engineering}, W.~Lu, G.~Cai, W.~Liu, and W.~Xing,
|
||
Eds.\hskip 1em plus 0.5em minus 0.4em\relax Berlin, Heidelberg: Springer
|
||
Berlin Heidelberg, 2013, pp. 909--917.
|
||
|
||
\bibitem{Yang24GridMesa}
|
||
X.~Yang, X.~Guan, Z.~Pang, X.~Kui, and H.~Wu, ``Gridmesa: {A} nosql-based big
|
||
spatial data management system with an adaptive grid approximation model,''
|
||
\emph{Future Gener. Comput. Syst.}, vol. 155, pp. 324--339, 2024.
|
||
|
||
\bibitem{hong2025deterministic}
|
||
Y.~Hong, H.~Zhao, Y.~Wang, X.~Shi, W.~Lu, S.~Yang, and S.~Du, ``Deterministic
|
||
concurrency control based multiwriter transaction processing over
|
||
cloud-native databases.'' \emph{International Journal of Software \&
|
||
Informatics}, vol.~15, no.~1, 2025.
|
||
|
||
\bibitem{Bernstein812PL}
|
||
P.~A. Bernstein and N.~Goodman, ``Concurrency control in distributed database
|
||
systems,'' \emph{{ACM} Comput. Surv.}, vol.~13, no.~2, pp. 185--221, 1981.
|
||
|
||
\bibitem{KungR81OCC}
|
||
H.~T. Kung and J.~T. Robinson, ``On optimistic methods for concurrency
|
||
control,'' \emph{{ACM} Trans. Database Syst.}, vol.~6, no.~2, pp. 213--226,
|
||
1981.
|
||
|
||
\bibitem{WangK16MVOCC}
|
||
T.~Wang and H.~Kimura, ``Mostly-optimistic concurrency control for highly
|
||
contended dynamic workloads on a thousand cores,'' \emph{Proc. {VLDB}
|
||
Endow.}, vol.~10, no.~2, pp. 49--60, 2016.
|
||
|
||
\bibitem{Hong25HDCC}
|
||
Y.~Hong, H.~Zhao, W.~Lu, X.~Du, Y.~Chen, A.~Pan, and L.~Zheng, ``A hybrid
|
||
approach to integrating deterministic and non-deterministic concurrency
|
||
control in database systems,'' \emph{Proc. {VLDB} Endow.}, vol.~18, no.~5,
|
||
pp. 1376--1389, 2025.
|
||
|
||
\bibitem{Wu25OOCC}
|
||
H.~Wu, M.~Zhang, K.~Chen, X.~Liao, Y.~Shan, and Y.~Wu, ``{OOCC:} one-round
|
||
optimistic concurrency control for read-only disaggregated transactions,'' in
|
||
\emph{41st {IEEE} International Conference on Data Engineering, {ICDE} 2025,
|
||
Hong Kong, May 19-23, 2025}.\hskip 1em plus 0.5em minus 0.4em\relax {IEEE},
|
||
2025, pp. 238--250.
|
||
|
||
\bibitem{Peng26IOsurvey}
|
||
J.~Peng, L.~Yang, H.~Wu, W.~Zhang, Z.~Wu, W.~Zhang, J.~Li, Y.~Dai, and Y.~Dong,
|
||
``A survey on machine learning-based hpc i/o analysis and optimization,''
|
||
\emph{{IEEE} Trans. Parallel Distrib. Syst.}, vol.~37, no.~3, pp. 618--632,
|
||
2026.
|
||
|
||
\bibitem{Chen21Tuning1}
|
||
T.~Chen and M.~Li, ``Multi-objectivizing software configuration tuning (for a
|
||
single performance concern),'' \emph{CoRR}, vol. abs/2106.01331, 2021.
|
||
|
||
\bibitem{Bez20TuningLayer}
|
||
J.~L. Bez, F.~Z. Boito, R.~Nou, A.~Miranda, T.~Cortes, and P.~O.~A. Navaux,
|
||
``Adaptive request scheduling for the {I/O} forwarding layer using
|
||
reinforcement learning,'' \emph{Future Gener. Comput. Syst.}, vol. 112, pp.
|
||
1156--1169, 2020.
|
||
|
||
\bibitem{Yang22end-IO}
|
||
B.~Yang, Y.~Zou, W.~Liu, and W.~Xue, ``An end-to-end and adaptive {I/O}
|
||
optimization tool for modern {HPC} storage systems,'' in \emph{2022 {IEEE}
|
||
International Parallel and Distributed Processing Symposium, {IPDPS} 2022,
|
||
Lyon, France, May 30 - June 3, 2022}.\hskip 1em plus 0.5em minus 0.4em\relax
|
||
{IEEE}, 2022, pp. 1294--1304.
|
||
|
||
\bibitem{Behzad13HDF5}
|
||
B.~Behzad, J.~Huchette, H.~V.~T. Luu, R.~A. Aydt, S.~Byna, Y.~Yao, Q.~Koziol,
|
||
and Prabhat, ``A framework for auto-tuning {HDF5} applications,'' in
|
||
\emph{The 22nd International Symposium on High-Performance Parallel and
|
||
Distributed Computing, HPDC'13, New York, NY, {USA} - June 17 - 21, 2013},
|
||
M.~Parashar, J.~B. Weissman, D.~H.~J. Epema, and R.~J.~O. Figueiredo,
|
||
Eds.\hskip 1em plus 0.5em minus 0.4em\relax {ACM}, 2013, pp. 127--128.
|
||
|
||
\bibitem{Wang26RethinkingTuning}
|
||
W.~Zhang, H.~Wang, Z.~Shi, Y.~Wu, M.~Li, T.~Li, F.~Wang, and D.~Feng,
|
||
``Rethinking parameter tuning in distributed storage systems via knowledge
|
||
graph query,'' \emph{{IEEE} Trans. Parallel Distrib. Syst.}, vol.~37, no.~3,
|
||
pp. 633--650, 2026.
|
||
|
||
\bibitem{Xie12supercomputer}
|
||
B.~Xie, J.~S. Chase, D.~Dillow, O.~Drokin, S.~Klasky, S.~Oral, and
|
||
N.~Podhorszki, ``Characterizing output bottlenecks in a supercomputer,'' in
|
||
\emph{{SC} Conference on High Performance Computing Networking, Storage and
|
||
Analysis, {SC} '12, Salt Lake City, UT, {USA} - November 11 - 15, 2012},
|
||
J.~K. Hollingsworth, Ed.\hskip 1em plus 0.5em minus 0.4em\relax {IEEE/ACM},
|
||
2012, p.~8.
|
||
|
||
\bibitem{Chen98SA}
|
||
Y.~Chen, M.~Winslett, Y.~Cho, and S.~Kuo, ``Automatic parallel {I/O}
|
||
performance optimization in panda,'' in \emph{Proceedings of the Tenth Annual
|
||
{ACM} Symposium on Parallel Algorithms and Architectures, {SPAA} '98, Puerto
|
||
Vallarta, Mexico, June 28 - July 2, 1998}, G.~L. Miller and P.~B. Gibbons,
|
||
Eds.\hskip 1em plus 0.5em minus 0.4em\relax {ACM}, 1998, pp. 108--118.
|
||
|
||
\bibitem{Robert20SA}
|
||
S.~Robert, S.~Zertal, and P.~Couv{\'{e}}e, ``Shaman: {A} flexible framework for
|
||
auto-tuning {HPC} systems,'' in \emph{Modelling, Analysis, and Simulation of
|
||
Computer and Telecommunication Systems - 28th International Symposium,
|
||
{MASCOTS} 2020, Nice, France, November 17-19, 2020, Revised Selected Papers},
|
||
ser. Lecture Notes in Computer Science, M.~C. Calzarossa, E.~Gelenbe,
|
||
K.~Grochla, R.~Lent, and T.~Czach{\'{o}}rski, Eds., vol. 12527.\hskip 1em
|
||
plus 0.5em minus 0.4em\relax Springer, 2020, pp. 147--158.
|
||
|
||
\bibitem{Agarwal19TPE}
|
||
M.~Agarwal, D.~Singhvi, P.~Malakar, and S.~Byna, ``Active learning-based
|
||
automatic tuning and prediction of parallel {I/O} performance,'' in
|
||
\emph{{IEEE/ACM} Fourth International Parallel Data Systems Workshop, PDSW@SC
|
||
2019, Denver, CO, USA, November 18, 2019}.\hskip 1em plus 0.5em minus
|
||
0.4em\relax {IEEE}, 2019, pp. 20--29.
|
||
|
||
\bibitem{Bagbaba20RF}
|
||
A.~Bagbaba, ``Improving collective {I/O} performance with machine learning
|
||
supported auto-tuning,'' in \emph{2020 {IEEE} International Parallel and
|
||
Distributed Processing Symposium Workshops, {IPDPSW} 2020, New Orleans, LA,
|
||
USA, May 18-22, 2020}.\hskip 1em plus 0.5em minus 0.4em\relax {IEEE}, 2020,
|
||
pp. 814--821.
|
||
|
||
\end{thebibliography}
|