No abstract

The Virtual Data Center software is an open-source, digital library system for quantitative data. The authors discuss what the software does, how it provides an infrastructure for the management and dissemination of distributed collections of quantitative data, and the replication of results derived from these data.

No abstract

This paper outlines the design objectives and research goals for HARTOS, a distributed real-time operating system being developed at The University of Michigan. This effort is part of a larger research project to design and implement an experimental distributed real-time system called the Hexagonal Architecture for Real-Time Systems (HARTS). An important feature of HARTS is the use of an intelligent network processor to handle many of the functions relating to communications. The paper focuses on the communications aspects of the operating system and the control software kernel of the network processor. The preliminary version of the kernel provides good support for inter-process communication and distributed control. Its performance has been measured and analyzed and found to be comparable to that of other message passing systems like the V system.

In this paper, we present an overview of the Virtual Data Center (VDC) software, an open-source digital library system for the management and dissemination of distributed collections of quantitative data. (see ). The VDC functionality provides everything necessary to maintain and disseminate an individual collection of research studies, including facilities for the storage, archiving, cataloging, translation, and on-line analysis of a particular collection. Moreover, the system provides extensive support for distributed and federated collections including: location-independent naming of objects, distributed authentication and access control, federated metadata harvesting, remote repository caching, and distributed 'virtual' collections of remote objects.