Paper Info
Title
Profile-Based Data Delivery for Web Applications
Abstract
An increasing number of clients use the web for applications such as web browsing, E-commerce, and web portals. An important characteristic of data access in this environment is that clients often have different requirements for the latency and recency of objects. However, there has been little work that aims to accomodate varying client needs. This Ph.D. research introduces client profiles that allow clients to express their requirements with respect to the latency and recency of objects. Profiles are used by a cache or web portal to determine when to download a fresh object and when to use a cached copy. Profiles can be tuned to reflect the requirements of a client or application. The profile-based framework is straightforward to implement for both clients and caches, and can scale to a large number of clients and applications. Preliminary results show that profiles can reduce latency and bandwidth consumption compared to existing techniques, while still providing recent data in many cases.
Year
DOI
Venue
2002
10.1007/3-540-36128-6_37
EDBT Workshops
Keywords
Field
DocType
bandwidth consumption,increasing number,web applications,ph.d. research,varying client need,recent data,large number,profile-based data delivery,web portal,data access,client profile,web browsing,e commerce
Cache,Latency (engineering),Computer science,WebP,Inter-process communication,Web navigation,Web application,Data access,Database,Distributed computing,The Internet
Conference
Volume
ISSN
ISBN
2490
0302-9743
3-540-00130-1
Citations 
PageRank 
References 
0
0.34
17
Authors
1
Name
Order
Citations
PageRank
Laura Bright117617.34