This paper presents the Network Storage Manager (NSM) developed in the Distributed Computing Laboratory at Jackson State University. NSM is designed as a Java-based, high-performance, distributed storage system, which can be utilized in the Grid environment. NSM architecture presents a framework offering parallelism, scalability, crash recovery, and portability for data-intensive distributed ap...

In the 1970’s, the relational data model was the focus of much of the research in the database area. At this point, relational database technology is well-understood, a number of relational systems are commercially available, and they support the majority of business applications relatively well. One of the foremost database problems of the 1980’s is how to support classes of applications that ...

This article deals with automatic parallelization of static control programs. During the parallelization process the removal of memory related dependences is usually performed by translating the original program into single assignment form. This total data expansion has a very high memory cost. We present a technique of partial data expansion which leaves untouched the performances of the paral...

Scientific computation has always been one of the driving forces behind the design of computer systems. As a result, many advances in CPU architecture were first developed for high-speed supercomputer systems, keeping them among the fastest computers in the world. However, little research has been done in storing the vast quantities of data that scientists manipulate on these powerful computers...

With the widespread success and adoption of cloud-based solutions, we are witnessing an ever increasing reliance on external providers for storing and managing data. This evolution is greatly facilitated by the availability of solutions typically based on encryption ensuring the confidentiality of externally outsourced data against the storing provider itself. Selective application of encryptio...

We study the cost of storage management for garbage-collected programs compiled with the Standard ML of New Jersey compiler. We show that the cost of storage management is not the same as the time spent garbage collecting. For many of the programs, the time spent garbage collecting is less than the time spent doing other storage-management tasks. 1Authors’ addresses: David Tarditi, Computer Sci...

Spatial Data warehouses pose many challenging requirements with respect to the design of the data model due to the nature of analytical operations and the nature of the views to be maintained by the spatial warehouse. The first challenge is due to the multi-dimensional nature of each dimension itself. In a traditional data warehouse the various dimensions contributing to the warehouse data are ...

In many scientific domains large volumes of data are often generated by experimental devices or simulation programs. Examples are atmospheric data transmitted by satellites, climate modeling simulations, and high energy physics experiments. The volumes of data may reach hundreds of terabytes and therefore it is impractical to store them on disk systems. Rather they are stored on robotic tape sy...