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Selection of Appropriate Data Storage for Wavelet Transform Coefficients [chapter]

I. Žouželková, R. Vala, M. Juřík
2012 Lecture Notes in Electrical Engineering  
This paper deals with performance tests of selected database management systems: relational MySQL and object-relational PostgreSQL.  ...  The study of transform coefficients brought a question of a useful tool for signal evaluation and comparison.  ...  Moreover, in order to gain the best solution for array storage, the paper compares the performance of two main approaches: a traditional relational database (MySQL and PostgreSQL) and a multidimensional  ... 
doi:10.1007/978-1-4614-3558-7_47 fatcat:hlkx7pdxabb7jkvts2eqitv6wq

Study and Performance Analysis of Different Techniques for Computing Data Cubes

Aiasha Siddika
2019 Global Journal of Computer Science and Technology  
Data is an integrated form of observable and recordable facts in operational or transactional systems in the data warehouse.  ...  Online Analytical Process (OLAP) used in this purpose of the cube computation.  ...  Differently, Multidimensional Online Analytical Processing (MOLAP) uses optimized multi-dimensional array storage to store data, in alternate of the relational database.  ... 
doi:10.34257/gjcstcvol19is3pg33 fatcat:qu24xsmikbekrkme6a7f7vyhau


Prof. Jigna Ashish Patel
2018 International Journal of Advanced Research in Computer Science  
In OOH, we used DET (Dimension encoding Technique) and DTT (Dimension Traversal Technique), DET will solve sparsity problem in multidimensional array as we have used integer encoding technique.  ...  Let X be the multidimensional array with n dimensions as As shown in figure-3 the paging concept is clearly visible instead of storing the value using multidimensional array we can serialize it in a key  ... 
doi:10.26483/ijarcs.v9i1.5169 fatcat:7kg6uifm3jc73ivcojlhk43yxq

Grid Services for Fast Retrieval on Large Multidimensional Databases [chapter]

Peter Baumann
2001 Lecture Notes in Computer Science  
Implementation of this platform relies on the multidimensional database system RasDaMan. Evaluation covers all major application fields by HPC centres with in-depth experience in their resp. field.  ...  Fast, user-centric access to and evaluation of large supercomputing results is a well-recognised problem among compute and data service providers.  ...  It is such kind of active involvement which makes wheels rolling.  ... 
doi:10.1007/3-540-48228-8_82 fatcat:afsnd6rlyneophjszu7diznfwu

Parallel Query Support for Multidimensional Data: Inter-object Parallelism [chapter]

Karl Hahn, Bernd Reiner, Gabriele Höfling, Peter Baumann
2002 Lecture Notes in Computer Science  
This paper presents a number of new techniques for parallelizing queries in multidimensional array database management systems.  ...  However, the methods have yet not been applied to the upcoming field of multidimensional array databases. Specific properties of multidimensional array data require new parallel algorithms.  ...  In order to achieve performance improvements for a query which executes array operations on a single MDD, the concept described here is not suitable, as the granularity of our data parallelism is a complete  ... 
doi:10.1007/3-540-46146-9_81 fatcat:rrc7ebexvjdhrkmr6ka6k7w6tu

Multidimensional Arrays for Warehousing Data on Clouds [chapter]

Laurent d'Orazio, Sandro Bimonte
2010 Data Management in Grid and Peer-to-Peer Systems  
In this paper we address the pay-as-you-go rules for warehousing data storage. We propose to use the multidimensional arrays storage techniques for clouds. First experiments validate our proposal.  ...  They allow decision-makers to analyze on the fly huge volumes of data represented according to the multidimensional model.  ...  Acknowledgment Thanks to Boussad Mebarki, Ilyas Brahmia, Abdelaziz Merabet, in addition to the APIS team of the LIMOS laboratory and the COPAIN team from the Cemagref for useful discussions on datawarehouses  ... 
doi:10.1007/978-3-642-15108-8_3 dblp:conf/globe/dOrazioB10 fatcat:iu2sa5udbjgobja7btqeco7mq4

An Array Database Approach for Earth Observation Data Management and Processing

Zhenyu Tan, Peng Yue, Jianya Gong
2017 ISPRS International Journal of Geo-Information  
This paper suggests storing and processing EO data as multidimensional arrays based on state-of-the-art array database technologies.  ...  Our approach is implemented as an extension to SciDB, an open-source array database. The test shows that it gains much better performance in the computation compared with traditional databases.  ...  Acknowledgments: We appreciate the three anonymous reviewers for their very constructive comments that helped improve the quality of the paper.  ... 
doi:10.3390/ijgi6070220 fatcat:jxaxfigfqbcnlk63zshygr2wf4

Virtual Denormalization via Array Index Reference for Main Memory OLAP

Yansong Zhang, Xuan Zhou, Ying Zhang, Yu Zhang, Mingchuan Su, Shan Wang
2016 IEEE Transactions on Knowledge and Data Engineering  
As a result, this tactic is rarely used in main memory databases, which regards storage space, i.e., RAM, as scarce resource.  ...  It applies a number of state-of-the-art optimization methods, such as vectorized scan and aggregation, to achieve superior performance.  ...  According to our evaluation, the multidimensional array of most OLAP queries in SSB, TPC-H and TPC-DS is smaller than an ordinary LLC.  ... 
doi:10.1109/tkde.2015.2499199 fatcat:icwiwruudfdijlmt3argp73r2u

Virtual denormalization via array index reference for main memory OLAP

Yansong Zhang, Xuan Zhou, Ying Zhang, Yu Zhang, Mingchuan Su, Shan Wang
2016 2016 IEEE 32nd International Conference on Data Engineering (ICDE)  
As a result, this tactic is rarely used in main memory databases, which regards storage space, i.e., RAM, as scarce resource.  ...  It applies a number of state-of-the-art optimization methods, such as vectorized scan and aggregation, to achieve superior performance.  ...  According to our evaluation, the multidimensional array of most OLAP queries in SSB, TPC-H and TPC-DS is smaller than an ordinary LLC.  ... 
doi:10.1109/icde.2016.7498387 dblp:conf/icde/ZhangZZZSW16 fatcat:qrlqltkffjcjhfdur6ediuziuu

An extendible data structure for handling large multidimensional data sets

K. M. Azharul Hasan, Kamrul Islam, Mojahidul Islam, Tatsuo Tsuji
2009 2009 12th International Conference on Computers and Information Technology  
Multidimensional array is widely used in large number of scientific research and engineering applications for handling large multidimensional data.  ...  In this paper we propose a new scheme, Karnaugh Representation of Extendible Array (KEA), to represent the multidimensional data.  ...  One striking deficiency in current techniques for handling arrays is the poor handling of flexibility and extendibility of arrays [1] .  ... 
doi:10.1109/iccit.2009.5407319 fatcat:if3kmqp4sjab3jgrdicbivh4py

Fusion OLAP: Fusing the Pros of MOLAP and ROLAP Together for In-memory OLAP

Yansong Zhang, Yu Zhang, Shan Wang, Jiaheng Lu
2018 IEEE Transactions on Knowledge and Data Engineering  
In particular, MOLAP is efficient in multidimensional computing at the cost of cube maintenance, while ROLAP reduces the data storage size at the cost of expensive multidimensional join operations.  ...  In this paper, we propose a novel Fusion OLAP model to fuse the multidimensional computing model and relational storage model together to make the best aspects of both MOLAP and ROLAP worlds.  ...  This work was supported by the National Natural Science Foundation of China (61732014, 61772533) and Academy of Finland (310321). Yu Zhang is the corresponding author.  ... 
doi:10.1109/tkde.2018.2867522 fatcat:vfrtcmiqsvfodeahtx6oake2uu

DPFS: a distributed parallel file system

Xiaohui Shen, A. Choudhary
2001 International Conference on Parallel Processing, 2001.  
In addition to the traditional linear striping method, DPFS also provides a novel Multidimensional striping method that can solve performance problems of linear striping for many popular access patterns  ...  DPFS collects locally distributed unused storage resources as a supplement to the internal storage of parallel computing systems to satisfy the storage capacity requirement of large-scale applications.  ...  Acknowledgments This research was in part supported by Department of Energy under the Accelerated Strategic Computing Initiative (ASCI) Academic Strategic Alliance Program (ASAP) Level 2, under subcontract  ... 
doi:10.1109/icpp.2001.952101 dblp:conf/icpp/ShenC01 fatcat:vf2gy5feancpda7gig6bgfu3ce

Optimized management of large-scale data sets stored on tertiary storage systems

B. Reiner, K. Hahn
2004 IEEE Distributed Systems Online  
Estedi, an initiative of European database developers, software vendors, and supercomputing centers, seeks to provide a solution for the storage and retrieval of multidimensional HPC array data.  ...  A new system, optimized toward high-performance computing, extends the RasDaMan (Raster Data Management) database management system to allow flexible management of multidimensional spatiotemporal data  ...  Another research topic is parallel query support for multidimensional data. We hope to exploit RasDaMan's inter-and intra-object parallelism techniques to improve tertiary storage access performance.  ... 
doi:10.1109/mdso.2004.5 fatcat:7zrsrhpnmra7ff5u6agdn4citm

Storage of multidimensional arrays based on arbitrary tiling

P. Furtado, P. Baumann
1999 Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337)  
Storage management of multidimensional arrays aims at supporting the array model needed by applications and insuring fast execution of access operations.  ...  In this paper, we propose a storage approach for multidimensional discrete data (MDD) based on multidimensional arbitrary tiling.  ...  Dehmel for the teamwork in RasDaMan. The first author would also like to thank the Dep. de Matemática da Uni. de Coimbra, Portugal, for supporting her research stay in FORWISS.  ... 
doi:10.1109/icde.1999.754964 dblp:conf/icde/FurtadoB99 fatcat:4mab5n4sv5chtmt35xfszo4oga

Incremental elasticity for array databases

Jennie Duggan, Michael Stonebraker
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
In both steps we propose incremental approaches, affecting a minimum set of data and nodes, while maintaining high performance.  ...  Also, scientific databases frequently store their data as multidimensional arrays optimized for spatial querying.  ...  The authors thank Ashraf Aboulnaga for his feedback on earlier versions of this work. This research was funded by the Intel Science and Technology Center for Big Data.  ... 
doi:10.1145/2588555.2588569 dblp:conf/sigmod/DugganS14 fatcat:ubpx5mgrnvdjjpk2feqc6xmx3u
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