Paper Info
Title
Putting Objects to Work on a Massive Scale
Abstract
Distributed computing, and distributed object computing in particular, holds remarkable promise for future ISs and for more productive collaboration between our vast legacy IS base world-wide. This claim is not new to those who have read trade, research, or vendor literature over the past five years. GTE has made a significant attempt to benefit from this technology. We have found that it is currently considerably more difficult and less beneficial than the literature or its proponents would have had us believe. This chapter outlines challenges that we and others faced in attempting to put objects to work on a massive scale. The challenges were confirmed in a world-wide survey that we conducted of over 100 corporations that are attempting to deploy distributed object computing applications based on technologies such as CORBA, DCE, OLE/COM, distributed DBMSs, TP monitors, workflow management systems, and proprietary technologies.
Year
DOI
Venue
1996
10.1007/3-540-61286-6_127
ISMIS
Keywords
Field
DocType
massive scale,workflow management system,distributed computing
Data science,Computer science,Distributed design patterns,Artificial intelligence,Workflow engine,Distributed object,Common Object Request Broker Architecture,Object model,Utility computing,Distributed algorithm,Workflow management system,Database,Machine learning
Conference
ISBN
Citations 
PageRank 
3-540-61286-6
1
1.17
References 
Authors
1
1
Name
Order
Citations
PageRank
Michael L. Brodie11005626.90