Networks of workstations ooer large amounts of unused processing time. Resource management systems are able to exploit this computing capacity by assigning compute-intensive tasks to idle workstations. To avoid interferences between multiple, concurrently running applications, such resource management systems have to schedule application jobs carefully. Continuously arriving jobs and dynamicall...

Networks of workstations ooer large amounts of unused processing time. Resource management systems are able to exploit this computing capacity by assigning compute-intensive tasks to idle workstations. To avoid interferences between multiple, concurrently running applications, such resource management systems have to schedule application jobs carefully. Continuously arriving jobs and dynamicall...

Evaluation of scheduling algorithms for distributed environments is a complex task that involves simulation of computation resources, interconnection network, users and generated workload. Multiple discrete event based simulators are developed that tackle different aspects of distributed systems in order to ease that task. In this paper we address the simulation of computer clusters that are th...

Good project scheduling is an essential yet extremely hard task in software management practice. The time needed to complete a development activity usually is known only roughly. Often, the completion of an activity is delayed due to unanticipated rework. In this paper, we show how process simulation can be utilized in order to support software managers in finding good schedules for their proje...

This article describes the application of discrete event simulation in a process industry (coffee manufacturing) as a daily production-scheduling tool. A large number of end products (around 300), sporadic demand, and limited shelf life of coffee (90 days) make it difficult to generate feasible production schedules manually. To solve this problem, an integrated system was developed incorporatin...

competition between the managers of industrial and service organizations to provide their financial needs and credit facilities via the bank's loan is growing daily. other hand, financial resources and credit of banks and financial institutions to provide accommodations to applicants is limit. accordingly the optimal allocation of limit financial resources with the aim of making the maximu...

A local municipality has decided to build a sewage pit to receive residential sewage waste arriving by tank trucks. Daily accumulated waste are to be pumped to a nearby waste water treatment facility to be re-consumed for agricultural and construction projects. A discrete-event simulation model using Arena Software was constructed to assist in defining the capacity of the system in cubic meters...

Parallel or Distributed Discrete Event Simulation (PDES) refers to the concurrent execution of a single discrete event simulation application on a parallel or distributed computing system. Most available PDES implementations provide user level library support for writing distributed simulation applications. We discuss how OS support can be designed to facilitate optimistic PDES of large, comple...

Purpose – To develop a methodology to augment enterprise resource planning (ERP) systems with the discrete event simulation’s inherent ability to handle the uncertainties. Design/methodology/approach – The ERP system still contains and uses the material requirements planning (MRP) logic as its central planning function. As a result, the ERP system inherits a number of shortcomings associated wi...

For example, Wein (1988) compared various release control strategies and scheduling rules and provided the better combinations of release control strategy and scheduling rule for three kinds of HP 24 models. Peyrol et al. (1993) implemented a simulated annealing methodology to determine the input order of a given set of products so as to minimize the average residence time of these products in ...