Dynamic Simulation for Grid Computing Systems

School of Information Systems, Computing and …, 2009

Lecture Notes in Computer Science, 2008

Due to the distributed nature of resources in grids that cover multiple administrative domains, grid resource management cannot be optimally implemented using traditional approaches. In order to investigate new grid resource management systems, researchers utilize simulators which allows them to efficiently evaluate new algorithms on a large scale. We have developed the Grid Economics Simulator (GES) in support of research into grid resource management in general and economic grid resource management in particular. This paper compares GES to SimGrid and GridSim, two established grid simulation frameworks. We demonstrate that GES compares favourably to the other frameworks in terms of scalability, runtime performance and memory requirements.

Proceedings of the 2nd …, 2005

Virtual experimentation essentially includes all studies that are performed on a computer representation of a real system. Any such study needs to evaluate the response of the system to a number of different parameters. This requires a large amount of computing power and resource sharing and thus become an ideal candidate for Grid Computing. This paper discusses the use of the Grid to perform studies using Discrete Event Simulation models. It also presents the challenges encountered during development of a prototype to enable the same and discusses some future work.

Jurnal Teknologi

In parallel and distributed computing environment such as "The Grid", anticipating the behavior of the resources and tasks based on certain scheduling algorithm is a great challenging. Thus, studying and improving these types of environments becomes very difficult. Out of this, the developers have spent remarkable efforts to come up with simulators which facilitate the studies in this domain. In addition, these simulators have a significant role in enhancing and proposing many scheduling algorithms, and this in turn has reflected efficiently on the Grid. In this paper, we will present some of these tools, which are: GridSim for large scales distributed computing and parallel environment, Alea for tackling dynamic scheduling problems, Sim-G-Batch grid simulator for simulating the security and energy concept and Balls simulator for evaluation peer-to-peer with integrated load balancing algorithm. Furthermore, this paper aims to guide and assist the researcher to choose the p...

International journal of engineering research and technology, 2018

Grid Technology is a growing information technology field where the main purpose of grid is to build a kind of dynamic, distriuted and heterogeneous computing environment and realize collaborative resource sharing and problem solving in dynamic and multiple virtual organizations. It enables sharing, selection and aggregation of suitable computational and data resources for solving large-scale data intensive problems in science, engineering and commerce. To perform a study on grid scheduling or any other important concepts, acquiring a real grid environment is costly. To avoid that, we can use simulation tools. This paper provides the list of various simulation tools for grid computing together with the data sets collections. To perform a research based on grid computing environments, these tools and data sets explained in this paper are useful. Keywords—Grid computing, workload, simulation, Bricks, SimGrid, Monarc, GridNet, OptorSim, EcoGrid, GangSim, SimJava

Proceedings of the 40th Conference on …, 2008

2012

In this paper we introduce a framework for parallel and distributed execution of simulations (Sim-PETEK), a middleware for minimizing the total run time of batch runs and Monte Carlo trials. Sim-PETEK proposes a generic solution for simulation domain that is based on our previous work to parallelize simulation runs in a single node, multiple CPU setting. Our new framework aims at managing a heterogeneous computational resource pool consisting of multiple CPU nodes distributed on a geographically dispersed network, through a service oriented middleware layer that is compliant to Web Services Resource Framework (WSRF) standard, thereby providing a scalable and flexible architecture for simulation software developers. What differentiates Sim-PETEK from a general-purpose, Grid-based job distribution middleware, is a number of simulation-specific aspects regarding the specification, distribution, monitoring, result collection and aggregation of simulation runs. These aspects are prevalent in the structure of the messages and in the protocol of interaction both among the constituent services of the framework and within the interfaces exposed to the external clients.

2010

The last decade has witnessed an explosion of interest in distributed simulation techniques, however the application of simulation to ever more complex problems calls for more computational power. The emergence of the GRID provides an unrivalled opportunity to address this problem and thus make advances in the modeling and analysis of large-scale systems by harnessing the power of many computers at once. This paper presents a framework and an architecture for performing distributed simulations on the GRID.

Proceedings of the 45th …, 2012

Simulation of large and complex systems, such as computing grids, is a difficult task. Current simulators, despite providing accurate results, are significantly hard to use. They usually demand a strong knowledge of programming, what is not a standard pattern in today's users of grids and high performance computing. The need for computer expertise prevents these users from simulating how the environment will respond to their applications, what may imply in large loss of efficiency, wasting precious computational resources. In this paper we introduce iSPD, iconic Simulator of Parallel and Distributed Systems, which is a simulator where grid models are produced through an iconic interface. We describe the simulator and its intermediate model languages. Results presented here provide an insight in its easy-of-use and accuracy.