rs-retrieval/rs_retrieval.bbl

% Generated by IEEEtran.bst, version: 1.14 (2015/08/26)
\begin{thebibliography}{10}
\providecommand{\url}[1]{#1}
\csname url@samestyle\endcsname
\providecommand{\newblock}{\relax}
\providecommand{\bibinfo}[2]{#2}
\providecommand{\BIBentrySTDinterwordspacing}{\spaceskip=0pt\relax}
\providecommand{\BIBentryALTinterwordstretchfactor}{4}
\providecommand{\BIBentryALTinterwordspacing}{\spaceskip=\fontdimen2\font plus
\BIBentryALTinterwordstretchfactor\fontdimen3\font minus
  \fontdimen4\font\relax}
\providecommand{\BIBforeignlanguage}[2]{{%
\expandafter\ifx\csname l@#1\endcsname\relax
\typeout{** WARNING: IEEEtran.bst: No hyphenation pattern has been}%
\typeout{** loaded for the language `#1'. Using the pattern for}%
\typeout{** the default language instead.}%
\else
\language=\csname l@#1\endcsname
\fi
#2}}
\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.

\end{thebibliography}