MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept ...
Jiewen Huang, Lyublena Antova, Christoph Koch, Dan...
We present a policy-based architecture STEPS for lifecycle management (LCM) in a mass scale distributed file system. The STEPS architecture is designed in the context of IBM’s ...
Akshat Verma, David Pease, Upendra Sharma, Marc Ka...
This paper describes the methodology and implementation of a data management system for highly distributed systems, which was built to solve the scalability and reliability proble...
Although WSRF (Web Services Resource Framework) and Java-based hosting environment have been successful in dealing with the heterogeneity of resources and the diversity of applica...
Data centers constructed as clusters of inexpensive machines have compelling cost-performance benefits, but developing services to run on them can be challenging. This paper repo...