We present a method to characterize a distributed program for evaluating processes to processors allocation strategies in a heterogeneous computing system. The method is based on a Generalized Stochastic Petri Net model of the given hardware/software connguration. The model is used to compute various performance indices, depending on the nature of the application. Model analysis is carried out ...

In recent years, with increasing use of distributed systems, distributed Aspect Oriented Programming (AOP) arouses more interest. The way of distributing aspects over the network can affect the performance of the program. While assigning aspects to hosts, to achieve higher performance, properties of the distributed system and relation between aspects and objects must be taken into consideration...

Load sharing is key to the efficient operation of distributed systems. This paper investigates load sharing policies in a heterogeneous distributed system, where half of the total processors have double the speed of the others. Processor performance is examined and compared under a variety of workloads. Two job classes are considered. Programs of the first class are dedicated to fast processors...

The diversity of computers and networks within a distributed system makes these systems highly heterogeneous. System heterogeneity complicates the design of static applications that must meet quality-of-service (QoS) requirements. As part of the ERDoS2 project, we have introduced a novel concept of dynamic application structuring where the system, at run time, chooses the best end-to-end implem...

Many relational and object-oriented database systems provide referential integrity and compotmd operations on related objects using relationship mechanisms. Distributed object systems are emerging to support applications that access objects across distributed, heterogeneous system boundaries. Because the fundamental assump tions of distributed, heterogeneous, federated computing systems differ ...

<span lang="EN-US">Continuous attempts have been made to improve the flexibility and effectiveness of distributed computing systems. Extensive effort in fields connectivity technologies, network programs, high processing components, storage helps improvise results. However, concerns such as slowness response, long execution time, completion time identified stumbling blocks that hinder per...