DocumentCode
3450101
Title
Caching of large database objects in Web servers
Author
Jadav, D. ; Gupta, Madhu
Author_Institution
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY
fYear
1997
fDate
7-8 Apr 1997
Firstpage
10
Lastpage
19
Abstract
The popularity of the World Wide Web has been increasing at an exponential rate of late. As such growth was unanticipated, the infrastructure is increasingly experiencing problems. The combination of increased network bandwidth demand and overloaded servers results in increased data retrieval latency for the end-user. Caching data at appropriate points in the Web helps alleviate this problem. Almost all previous and existing Web servers use a flat file approach to store data, with use of database management systems (DBMSs) rudimentary, if extant at all. Storing pages in a file system may result in faster retrieval, but storing them in a DBMS gives the user greater administrative control. The use of a DBMS in a Web server, and the concomitant implication of frequently changing data, complicates the caching problem an Web-based applications. The Illustra Object Relational DBMS provides a flexible and user-friendly environment for building Web applications where all the server data is stored in the DBMS. The authors develop a caching scheme for large objects in the Web DataBlade module of the Illustra ORDBMS. Implementation details and preliminary performance results are presented
Keywords
Internet; cache storage; client-server systems; file servers; object-oriented databases; relational databases; Illustra Object Relational DBMS; Web DataBlade module; Web application building; Web servers; World Wide Web; administrative control; data retrieval latency; database management systems; frequently changing data; large database object caching; performance; server data storage; user-friendly environment; Bandwidth; Delay; File systems; HTML; Internet; Multimedia databases; Network servers; Web server; Web sites; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Research Issues in Data Engineering, 1997. Proceedings. Seventh International Workshop on
Conference_Location
Birmingham
Print_ISBN
0-8186-7849-6
Type
conf
DOI
10.1109/RIDE.1997.583688
Filename
583688
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