DocumentCode :
3336118
Title :
Query translation for cloud databases
Author :
Kotecha, Shyam ; Bhise, Minal ; Chaudhary, Sanjay
fYear :
2011
fDate :
8-10 Dec. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Due to features like on demand services, scalability and usage based pricing, today cloud computing has attracted many customers to move their applications to cloud. But cloud service providers are using different standards and frameworks which customer has to follow. There may be a case where customer wants to migrate data and application to another cloud service provider. In that case, code of application and structure of database must be modified according to the standard provided by new service provider which is very costly. This issue is regarded as cloud vendor lock-in. Work has already been done for providing techniques which can facilitate migration of data. But that technique is not providing support for transformation of query from one cloud to other. By taking Google App engine as one cloud service provider, algorithm can be developed to transform query supported by relational databases, SQL, to query supported by Google app engine datastore, Google Query Language (GQL). After that same algorithm can be generalized for any cloud datastore.
Keywords :
SQL; cloud computing; query processing; relational databases; Google App engine; Google Query Language; SQL; cloud computing; cloud databases; cloud datastore; cloud service provider; cloud vendor lock-in; data migration; on demand service; query translation; relational database; usage based pricing; Database languages; Engines; Google; Image color analysis; Indexes; Resource description framework; Cloud Database; Google Query Language (GQL); Query Translation; SQL;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering (NUiCONE), 2011 Nirma University International Conference on
Conference_Location :
Ahmedabad, Gujarat
Print_ISBN :
978-1-4577-2169-4
Type :
conf
DOI :
10.1109/NUiConE.2011.6153249
Filename :
6153249
Link To Document :
بازگشت