Scalable and secure data collection using bistro

Authors:
W. C. Cheng;C.-F. Chou;L. Golubchik;S. Khuller;J. Y. C. Wan
Affiliations:
TeleGIF, Marina del Rey, CA;University of Maryland, College Park, MD;USC, Los Angeles, CA;University of Maryland, College Park, MD;University of Maryland, College Park, MD
Venue:
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Year:
2002

Citing 4
Cited 0

Cryptography and network security (2nd ed.): principles and practice

Cryptography and network security (2nd ed.): principles and practice
The grid: blueprint for a new computing infrastructure

The grid: blueprint for a new computing infrastructure
Bistro: a framework for building scalable wide-area Upload applications

ACM SIGMETRICS Performance Evaluation Review
The Challenges of Delivering Content on the Internet

WADS '01 Proceedings of the 7th International Workshop on Algorithms and Data Structures

Quantified Score

Hi-index	0.00

Visualization

Abstract

Data collection (or uploading) is an inherent part of numerous digital government applications and is an important problem, in general. In this paper we describe our recent research results in the development of Bistro, a scalable and secure architecture designed for collection of data over the Internet for digital government applications.