{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T08:34:02Z","timestamp":1719563642070},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,8,8]],"date-time":"2017-08-08T00:00:00Z","timestamp":1502150400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2016YFB0502603","2017YFB0503704"],"award-info":[{"award-number":["2016YFB0502603","2017YFB0503704"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Foundation of Hubei Province of China","award":["ZRY2015001543"],"award-info":[{"award-number":["ZRY2015001543"]}]},{"name":"Fundamental Research Founds for National University, China University of Geosciences","award":["1610491B20"],"award-info":[{"award-number":["1610491B20"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1007\/s10586-017-1081-3","type":"journal-article","created":{"date-parts":[[2017,8,8]],"date-time":"2017-08-08T09:23:00Z","timestamp":1502184180000},"page":"2833-2844","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Data storage optimization strategy in distributed column-oriented database by considering spatial adjacency"],"prefix":"10.1007","volume":"20","author":[{"given":"Kun","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Danpeng","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Falin","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Miao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Kang","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,8]]},"reference":[{"key":"1081_CR1","unstructured":"Lu, F., Zhang, H.: Big data and generalized GIS. Geomat. Inf. Sci. Wuhan Univ. 39(6), 645\u2013654 (2014)"},{"key":"1081_CR2","doi-asserted-by":"crossref","unstructured":"Zhang, X., Song, W., Liu, L.: An implementation approach to store GIS spatial data on NoSQL database. In: Hu, S., Ye, X. (eds.) International Conference on Geoinformatics (2014)","DOI":"10.1007\/978-3-319-03005-0"},{"key":"1081_CR3","first-page":"28","volume-title":"An Efficient Distributed Index for Geospatial Databases","author":"HV Le","year":"2015","unstructured":"Le, H.V., Takasu, A.: An Efficient Distributed Index for Geospatial Databases, pp. 28\u201342. Springer, Heidelberg (2015)"},{"issue":"12","key":"1081_CR4","doi-asserted-by":"crossref","first-page":"1956","DOI":"10.14778\/2824032.2824110","volume":"8","author":"F Alvanaki","year":"2015","unstructured":"Alvanaki, F., et al.: GIS navigation boosted by column stores. Proc. Vldb Endow. 8(12), 1956\u20131959 (2015)","journal-title":"Proc. Vldb Endow."},{"key":"1081_CR5","doi-asserted-by":"crossref","unstructured":"Zhang, N., et\u00a0al. HBaseSpatial: a scalable spatial data storage based on HBase. In: IEEE International Conference on Trust, Security and Privacy in Computing and Communications (2014)","DOI":"10.1109\/TrustCom.2014.83"},{"issue":"2SI","key":"1081_CR6","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1007\/s10619-012-7109-z","volume":"31","author":"S Nishimura","year":"2013","unstructured":"Nishimura, S., et al.: MD-HBase: design and implementation of an elastic data infrastructure for cloud-scale location services. Distrib. Parallel Databases 31(2SI), 289\u2013319 (2013)","journal-title":"Distrib. Parallel Databases"},{"key":"1081_CR7","first-page":"1161","volume-title":"Hybrid Range Consistent Hash Partitioning Strategy\u2014A New Data Partition Strategy for NoSQL Database","author":"Z Chen","year":"2013","unstructured":"Chen, Z., et al.: Hybrid Range Consistent Hash Partitioning Strategy\u2014A New Data Partition Strategy for NoSQL Database, pp. 1161\u20131169. IEEE, New York (2013)"},{"key":"1081_CR8","doi-asserted-by":"crossref","unstructured":"Qi, W., Song, J., Bao, Y.B.: Near-uniform range partition approach for increased partitioning in large database. In: IEEE International Conference on Information Management and Service (IMS) (2010)","DOI":"10.1109\/ICIME.2010.5477529"},{"issue":"3","key":"1081_CR9","first-page":"342","volume":"35","author":"A Kumar","year":"2014","unstructured":"Kumar, A., Yadav, J.S.: A review on partitioning techniques. Database 35(3), 342\u2013347342 (2014)","journal-title":"Database"},{"key":"1081_CR10","unstructured":"George, L.: HBase schema design\u2014things you need to know\u2014O\u2019Reilly Media Free. Live Events (2017)"},{"key":"1081_CR11","first-page":"205","volume-title":"Bigtable: a distributed storage system for structured data","author":"F Chang","year":"2006","unstructured":"Chang, F., et al.: Bigtable: a distributed storage system for structured data, pp. 205\u2013218. USENIX Association, Berkeley (2006)"},{"key":"1081_CR12","unstructured":"IBM. https:\/\/en.wikipedia.org\/wiki\/Dynamo_(storage_system)"},{"key":"1081_CR13","unstructured":"Cassandra. https:\/\/cassandra.apache.org\/doc\/latest\/"},{"key":"1081_CR14","doi-asserted-by":"crossref","unstructured":"Akdogan, A., et\u00a0al.: Cost-efficient partitioning of spatial data on cloud. In: International Conference on Big Data (2015)","DOI":"10.1109\/BigData.2015.7363792"},{"key":"1081_CR15","unstructured":"Xia, C., Wang, T.: Cached Index of HBase based on coprocessor. In: International Conference on Computer Science and Communication Engineering (CSCE 2015), pp. 123\u2013129 (2015)"},{"key":"1081_CR16","doi-asserted-by":"crossref","unstructured":"Vo, H., Aji, A., Wang, F.: SATO: a spatial data partitioning framework for scalable query processing. In: Proceedings of IEEE International Conference on Computer Science & Software Engineering (2015)","DOI":"10.1145\/2666310.2666365"},{"key":"1081_CR17","doi-asserted-by":"crossref","unstructured":"Zhuang, H., et\u00a0al.: Design of a more scalable database system. In: IEEE-ACM International Symposium on Cluster Cloud and Grid Computing, pp. 1213\u20131216. IEEE, New York (2015)","DOI":"10.1109\/CCGrid.2015.70"},{"key":"1081_CR18","doi-asserted-by":"crossref","unstructured":"Zhong, Y., Liu, D.: The application of K-means clustering algorithm based on Hadoop. In: Proceedings of 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA 2016), pp. 88\u201392 (2016)","DOI":"10.1109\/ICCCBDA.2016.7529539"},{"key":"1081_CR19","volume-title":"HBase The Definitive Guide","author":"L George","year":"2011","unstructured":"George, L.: HBase The Definitive Guide. O\u2019Reilly Media, Newton (2011)"},{"key":"1081_CR20","first-page":"399","volume-title":"Workload-Aware Table Splitting for NoSQL","author":"F Cruz","year":"2014","unstructured":"Cruz, F., et al.: Workload-Aware Table Splitting for NoSQL, pp. 399\u2013404. Aurora Construction Materials, Rockbank (2014)"},{"key":"1081_CR21","doi-asserted-by":"crossref","unstructured":"Ye, Z., Li, S.: A request skew aware heterogeneous distributed storage system based on Cassandra. In: International Conference on Computer and Management (2011)","DOI":"10.1109\/CAMAN.2011.5778745"},{"key":"1081_CR22","doi-asserted-by":"crossref","unstructured":"Elghamrawy, S.M.: An adaptive load-balanced partitioning module in Cassandra using rendezvous hashing. In: International Conference on Advanced Intelligent Systems and Information (2016)","DOI":"10.1007\/978-3-319-48308-5_56"},{"issue":"12","key":"1081_CR23","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.14778\/2824032.2824057","volume":"8","author":"A Eldawy","year":"2015","unstructured":"Eldawy, A., Alarabi, L., Mokbel, M.F.: Spatial partitioning techniques in SpatialHadoop. Proc. Vldb Endow. 8(12), 1602\u20131605 (2015)","journal-title":"Proc. Vldb Endow."},{"key":"1081_CR24","doi-asserted-by":"crossref","unstructured":"Han, D., Stroulia, E.: HGrid: a data model for large geospatial data sets in HBase. In: IEEE Sixth International Conference on Cloud Computing (2013)","DOI":"10.1109\/CLOUD.2013.78"},{"key":"1081_CR25","volume-title":"Spatio-temporal Indexing in Non-relational Distributed Databases","author":"A Fox","year":"2013","unstructured":"Fox, A., et al.: Spatio-temporal Indexing in Non-relational Distributed Databases. IEEE, New York (2013)"},{"key":"1081_CR26","doi-asserted-by":"crossref","unstructured":"Hughes, J.N., et\u00a0al.: A survey of techniques and open-source tools for processing streams of spatio-temporal events. In: Proceedings of the 7th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS), pp. 39\u201342 (2016)","DOI":"10.1145\/3003421.3003432"},{"key":"1081_CR27","unstructured":"Geohash. https:\/\/en.wikipedia.org\/wiki\/Geohash"},{"key":"1081_CR28","doi-asserted-by":"crossref","unstructured":"Lee, K., et\u00a0al.: Efficient spatial query processing for big data. In: ACM Sigspatial International Conference on Advances in Geographic Information Systems (2014)","DOI":"10.1145\/2666310.2666481"},{"key":"1081_CR29","first-page":"699","volume-title":"Embedding an Extra Layer of Data Compression Scheme for Efficient Management of Big-Data","author":"S Pal","year":"2015","unstructured":"Pal, S., et al.: Embedding an Extra Layer of Data Compression Scheme for Efficient Management of Big-Data, pp. 699\u2013708. Springer, New Delhi (2015)"},{"key":"1081_CR30","doi-asserted-by":"crossref","unstructured":"Leutenegger, S.T., Lopez, M.A., Edgington, J.: STR: a simple and efficient algorithm for R-tree packing. In: Proceedings of the International Conference on Data Engineering (Series), pp. 497\u2013506. Computer Soc Press, Los Alamitos (1997)","DOI":"10.1109\/ICDE.1997.582015"},{"key":"1081_CR31","unstructured":"https:\/\/en.wikipedia.org\/wiki\/Trie"},{"key":"1081_CR32","unstructured":"HBase. http:\/\/hbase.apache.org\/book.html"},{"issue":"2","key":"1081_CR33","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1145\/1365815.1365816","volume":"26","author":"F Chang","year":"2008","unstructured":"Chang, F., et al.: Bigtable: a distributed storage system for structured data. ACM Trans. Comput. Syst. 26(2), 4 (2008)","journal-title":"ACM Trans. Comput. Syst."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10586-017-1081-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-1081-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-1081-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T04:19:45Z","timestamp":1589775585000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10586-017-1081-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,8]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["1081"],"URL":"https:\/\/doi.org\/10.1007\/s10586-017-1081-3","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,8]]}}}