Abstract

Management of the large data sets produced by data-intensive scientific applications is complicated by the fact that participating institutions are often geographically distributed and separated by distinct administrative domains. A key data management problem in these distributed collaborations has been the creation and maintenance of replicated data sets. This chapter provides an overview of replica management schemes used in large, data-intensive, distributed scientific collaborations. Early replica management strategies focused on the development of robust, highly scalable catalogs for maintaining replica locations. In recent years, more sophisticated, application-specific replica management systems have been developed to support the requirements of scientific Virtual Organizations. These systems have motivated interest in application-independent, policy-driven schemes for replica management that can be …

Date

February 3, 2026

Authors

Ann Chervenak, Robert Schuler

Book

Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management

Pages

188-205

Publisher

IGI Global