Allocation of Complex Objects in Hypercube

This paper presents allocation of complex objects in hypercube. It is shown that the data structure of a complex object that is an object-oriented database can be embedded into the hypercube with expansion 1 and dilation 1. The result about some properties of this allocation will be a guideline for parallel processing of the complex object in the hypercube multiprocessor

Squashed embedding of E-R schemas in hypercubes

We have been investigating an approach to parallel database processing based on treating Entity-Relationship (E-R) schema graphs as dataflow graphs. A prerequisite is to find appropriate embeddings of the schema graphs into a processor graph, in this case a hypercube. This paper studies a class of adjacency preserving embeddings that map a node in the schema graph into a subcube (relaxed squashed or RS embeddings) or into adjacent subcubes (relaxed extended squashed or RES embeddings) of a hypercube. The mapping algorithm is motivated by the technique used for state assignment in asynchronous sequential machines. In general, the dimension of the cube required for squashed embedding of a graph is called the weak cubical dimension or WCD of the graph. The RES embedding provides an RES-WCD of O([left ceiling]log2n[right ceiling]) for a completely connected graph, Kn, and RS embedding provides an RS-WCD of O([left ceiling]log2n[right ceiling] + [left ceiling]log2m[right ceiling]) for a completely connected bigraph, Km,n. Typical E-R graphs are incompletely connected bigraphs. An algorithm for embedding incomplete bigraphs is presented.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/28651/1/0000467.pd

Third International Symposium on Space Mission Operations and Ground Data Systems, part 1

Under the theme of 'Opportunities in Ground Data Systems for High Efficiency Operations of Space Missions,' the SpaceOps '94 symposium included presentations of more than 150 technical papers spanning five topic areas: Mission Management, Operations, Data Management, System Development, and Systems Engineering. The papers focus on improvements in the efficiency, effectiveness, productivity, and quality of data acquisition, ground systems, and mission operations. New technology, techniques, methods, and human systems are discussed. Accomplishments are also reported in the application of information systems to improve data retrieval, reporting, and archiving; the management of human factors; the use of telescience and teleoperations; and the design and implementation of logistics support for mission operations