An Approach to Distribution of Object-Oriented Applications in Loosely Coupled Networks

The role of exogenous factors in technology acceptance: The case of object-oriented technology

“…To date, despite the growing importance of OO technology, empirical research on its adoption has been limited [12,41]. In particular, efforts to understand the exact role of exogenous variables in the behavioral process of OO technology adoption are missing.…”

A multi-agent memetic algorithm approach for distributed object allocation

“…Object clustering schemes, while simple to implement and understand, do not consider performance of distributed applications and are limited in their usefulness. Advanced graph bisection [2] and mathematical programming approaches [32] directly consider distributed application performance issues such as inter-object communications across different servers in a DCE. A graph bisection approach divides a set of objects into two equal sets so that the object intercommunications costs between two sets are minimized.…”

“…Object clustering schemes use shared memory configurations so that object inheritance is not stretched across different application servers and objects are placed in close proximity to their users [2,32]. There are a few object clustering schemes that are available in the literature-stochastic clustering, level based clustering and user-defined clustering-are a few examples of such clustering schemes [32]. Object clustering schemes, while simple to implement and understand, do not consider performance of distributed applications and are limited in their usefulness.…”