Alexander Moibenko

TL;DR: Using SRM in a large international high energy physics collaboration, called WLCG, to prepare to handle the large volume of data expected when the Large Hadron Collider goes online at CERN is described.

TL;DR: The motivation of this project, design principles and current status, and the results of applying Lambda Station services to development and production clusters at Fermilab and Caltech over, advanced networks such as DOE's UltraScience Net and NSF's UltraLight is covered.

TL;DR: The scalability aspects of the hardware and software architecture that were designed into the Fermilab mass storage system to permit it to scale to multiple petabytes of storage capacity, manage tens of terabytes per day in data transfers, support hundreds of users, and maintain data integrity are described.

TL;DR: The Fermilab data storage infrastructure consists of the following major storage and data transfer components: the EnStore mass storage system, DCache distributed data cache, FTP and grid FTP for primarily external data transfers as discussed by the authors.

TL;DR: In this paper, a modular intelligent decision support system (IDSS) is developed to aid in the automatic provisioning of resources spanning multiple cloud providers, multiple HPC centers, and grid computing federations.