The Grid provides a new and unrivaled technology for large scale distributed simulation as it enables collaboration and the use of distributed computing resources. This panel paper presents the views of four researchers in the area of Distributed Simulation and the Grid. Together we try to identify the main research issues involved in applying Grid technology to distributed simulation and the key future challenges that need to be solved to achieve this goal. Such challenges include not only technical challenges, but also political ones such as management methodology for the Grid and the development of standards. The benefits of the Grid to end-user simulation modelers also are discussed
This paper focuses on architecture suitable for largescale simulation system. Based on the scenario ...
ABSTRACT: Grid computing has emerged as an important new field, distinguished from conventional dist...
The Grid paradigm promises to provide global access to computing resources, data storage and experim...
An increased need for collaborative research, together with continuing advances in communication tec...
We present the views of five researchers and practitioners of distributed simulation. Collectively w...
Distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing appro...
Today simulation is becoming an increasingly pervasive technology across major business sectors. A...
As simulation experimentation in industry become more computationally demanding, grid computing can ...
types: Editorial CommentThe realization of high performance simulation necessitates sophisticated si...
Simulation is a cost saving method to solving complex problems in various areas such as production, ...
The design and implementation of a national computing system and data grid has become a reachable go...
types: Editorial CommentHigh performance simulation that supports sophisticated simulation experimen...
In Operational Research conventional simulation practices typically focus on the conceptualization, ...
An increased need for collaborative research, together with continuing advances in communication tec...
This chapter focuses on the collaborative use of computing resources to support decision making in i...
This paper focuses on architecture suitable for largescale simulation system. Based on the scenario ...
ABSTRACT: Grid computing has emerged as an important new field, distinguished from conventional dist...
The Grid paradigm promises to provide global access to computing resources, data storage and experim...
An increased need for collaborative research, together with continuing advances in communication tec...
We present the views of five researchers and practitioners of distributed simulation. Collectively w...
Distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing appro...
Today simulation is becoming an increasingly pervasive technology across major business sectors. A...
As simulation experimentation in industry become more computationally demanding, grid computing can ...
types: Editorial CommentThe realization of high performance simulation necessitates sophisticated si...
Simulation is a cost saving method to solving complex problems in various areas such as production, ...
The design and implementation of a national computing system and data grid has become a reachable go...
types: Editorial CommentHigh performance simulation that supports sophisticated simulation experimen...
In Operational Research conventional simulation practices typically focus on the conceptualization, ...
An increased need for collaborative research, together with continuing advances in communication tec...
This chapter focuses on the collaborative use of computing resources to support decision making in i...
This paper focuses on architecture suitable for largescale simulation system. Based on the scenario ...
ABSTRACT: Grid computing has emerged as an important new field, distinguished from conventional dist...
The Grid paradigm promises to provide global access to computing resources, data storage and experim...