NDLI: Stochastic Analysis of DSS Queries for a Distributed Database Design

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Stochastic Analysis of DSS Queries for a Distributed Database Design

Content Provider	Semantic Scholar
Author	Sharma, Manik Singh, Rajinder Amritsar Singh, Gurvinder Singh, Gurdev Vidyapeeth, Gurukul
Copyright Year	2013
Abstract	Optimization of query in distributed database system is one of the dominant subjects in the field of database theory. Depending upon the placement of data a query can be described as centralized or distributed query. The processing of distributed query is entirely different from the centralized query as in the former case the data is distributed over number of sites. Decision Support System Query (DSSQ) is one of the decisive types of distributed query. DSS queries are complex and time consuming in nature. Due to the decentralization of data and the complexity of query, it becomes mandatory to optimize the DSS query in distributed database system. In this work an effort is made to find an optimal DSS sub query allocation plan in distributed environment stochastically using Genetic Algorithm. The queries are designed on the basis of one of the benchmark of DSS query as given by TPC-DS. The DSS queries are
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://research.ijcaonline.org/volume83/number5/pxc3892608.pdf
Alternate Webpage(s)	http://www.ijcaonline.org/archives/volume83/number5/14447-2608?format=pdf
Alternate Webpage(s)	https://www.ijcaonline.org/archives/volume83/number5/14447-2608?format=pdf
Language	English
Access Restriction	Open
Subject Keyword	Allocation Benchmark (computing) CCDC6 gene CNS disorder Centralized computing DSS brand of docusate sodium Database design Database theory Decision support system Distributed database Genetic algorithm IBM Tivoli Storage Productivity Center Mandatory - HL7DefinedRoseProperty Question (inquiry)
Content Type	Text
Resource Type	Article

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