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DB2 Parallel Edition

C. K. Baru, G. Fecteau, A. Goyal, H. Hsiao, A. Jhingran, S. Padmanabhan, G. P. Copeland, W. G. Wilson
1995 IBM Systems Journal  
Database management systems (DBMSS) provide important support for commercial applications.  ...  Currently there is a rapidly growing trend among businesses to analyze their increasing volumes of transaction data for various types of trends, including sales and purchasing, inventory, and budget.  ...  The data redistribution utility also permits users to redistribute data by specifying a targetpartitioning map for a given nodegroup.  ... 
doi:10.1147/sj.342.0292 fatcat:3mso35ij6bd6jk3sgrbashfrme

Description and Evaluation of Elasticity Strategies for Business Processes in the Cloud

Aicha Ben Jrad, Sami Bhiri, Samir Tata
2016 2016 IEEE International Conference on Services Computing (SCC)  
Dans notre travail, nous nous intéressons à la définition et l'évaluation des stratégies d'élasticité des applications à base de services dans le Cloud.  ...  Résumé : De nos jours, de plus en plus d'entreprises migrent leurs applications à base de services (AbSs) vers le Cloud.  ...  So, it is more suitable for them to address their domain problems through a DSL that represents the abstractions of their own domain knowledge.  ... 
doi:10.1109/scc.2016.34 dblp:conf/IEEEscc/JradBT16 fatcat:kqvstjhhvncjnnyuajfnli6kci

Adopting a virtual machine manager system for better throughput performance when it is used in cloud environments [article]

Dimitrios A. Bliablias, National Technological University Of Athens, National Technological University Of Athens, Νεκτάριος Κοζύρης
2014
A software tool is commonly used that manages the physical nodes of the cluster, and the virtual resources as well.  ...  This thesis aims to improve the performance of such a tool, and specifically Ganeti's, by providing support for alternative engines to serve its storage requirements.  ...  Firstly, as Ganeti is a software tool for managing clusters of physical nodes, it is not a facile task to obtain, setup, and maintain physical machines for the cluster requirements.  ... 
doi:10.26240/heal.ntua.8103 fatcat:wabttyawr5aifn76jiyoeyir6y

An Intelli-gent Searcli Method for Query Optimization by Semijoins

Silvio Salza, Massimiliano Renzetti, Ye-In Cliang, Bor-Miin Liu, Cheng-Huang Liao, Hyuck, Yoo, Stephane Lafortune, Thomas Zurek, Silvio Salza, Emad Mohamed, Hussein Abdel-Wahab (+6 others)
1998 IEEE Trans, on Knovoledge and Data Eng   unpublished
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarcby of decision tables.  ...  to reduce the data transmission cost.  ...  IBM Italy that has made the experimental part of our study possible by granting us access to the computing facilities of the ECSEC Research Center in Rome, and by supporting part of the work through a  ... 
fatcat:uur7wx6h4vevzn3xgojmquscva

Data Story Telling and Analytics [article]

Georgios Ouzounidis, National Technological University Of Athens, National Technological University Of Athens
2017
Its most crucial function is to collect machine learning algorithms employed for data mining tasks. The algorithms can either be applied directly to a dataset or called from your Java code.  ...  Weka is also suitable for creating new machine learning schemes and it is an open source software issued under the GNU General Public License.  ...  s ( name = " Average S a l e s ( e u r o s ) " , data = a03$ S a l e s / 4 ) %>% hc add s e r i e s ( name = " Average Quantity ( Kgrs ) " , data = a03$ Quantity / 4 ) %>% hc add s e r i e s ( name = "  ... 
doi:10.26240/heal.ntua.7688 fatcat:qovnwhrlp5fdlmfyl26lpdob3q