Web interface for generic grid jobs, Web4Grid

For a long time grid has been used practically only by large projects which can afford to have fine-tuned sophisticated interfaces for the researchers involved on these projects. Grid has the potential to be a key instrument for a wide variety of scientific topics which require to perform many calculations, for example to explore complex system dynamics as function of parameters. The reduced size of the research groups and the diversity of problems makes unsuitable to develop specific interfaces in most of the instances while the cumbersome grid shell commands are a barrier that requires a significant amount of determination to overcome. Web4Grid interface is intended to be a user-friendly web where grid users can submit their jobs and recover the results on an automatic way. Besides the interface provides the capability to monitor the existing jobs and to check the (local) grid status (load, number of free cores available,...). Web4Grid interface does not require specific grid usage training nor any knowledge about the middleware behind it.Financial support from CSIC through project GRID-CSIC (Ref . 200450E494) and from from MICINN (Spain) and FEDER (EU) through project FIS2 007-60327 (FISICOS) is acknowledged.Peer Reviewe

Web Interface for Generic Grid Jobs, Web4Grid

For a long time grid has been used practically only by large projects which can afford to have fine-tuned sophisticated interfaces for the researchers involved on these projects. Grid has the potential to be a key instrument for a wide variety of scientific topics which require to perform many calculations, for example to explore complex system dynamics as function of parameters. The reduced size of the research groups and the diversity of problems makes unsuitable to develop specific interfaces in most of the instances while the cumbersome grid shell commands are a barrier that requires a significant amount of determination to overcome. Web4Grid interface is intended to be a user-friendly web where grid users can submit their jobs and recover the results on an automatic way. Besides the interface provides the capability to monitor the existing jobs and to check the (local) grid status (load, number of free cores available, ...). Web4Grid interface does not require specific grid usage training nor any knowledge about the middleware behind it

Integrated System for Hydraulic Simulations

The work described in this paper is aimed at applying and co-operating of modern information technologies and mathematical modeling to make a risk analysis of the water-supply in big cities. It is instrumental in the investigation of the hydraulics of water-supply systems using the simulation model EPANET executed on the underlying high-performance computing infrastructure. The simulation process is integrated with the GIS environment in order to correct input data and visualize the simulation output. Input data for the model can be modified directly within the designed scientific gateway which enables hydraulic domain experts to interact comfortably with the HPC capacity. Furthermore, the system includes some data mining capabilities forming bridges between the hydraulic data storage and available hydrological measurements focused on water consumption modeling and predictions. In simulating the main emphasis is given to optimize the measure of a similarity between the mathematical model and the real system in order to obtain reliable results

Effective Computation Resilience in High Performance and Distributed Environments

The work described in this paper aims at effective computation resilience for complex simulations in high performance and distributed environments. Computation resilience is a complicated and delicate area; it deals with many types of simulation cores, many types of data on various input levels and also with many types of end-users, which have different requirements and expectations. Predictions about system and computation behaviors must be done based on deep knowledge about underlying infrastructures, and simulations' mathematical and realization backgrounds. Our conceptual framework is intended to allow independent collaborations between domain experts as end-users and providers of the computational power by taking on all of the deployment troubles arising within a given computing environment. The goal of our work is to provide a generalized approach for effective scalable usage of the computing power and to help domain-experts, so that they could concentrate more intensive on their domain solutions without the need of investing efforts in learning and adapting to the new IT backbone technologies

Effective Scheduling of Grid Resources Using Failure Prediction

In large-scale grid environments, accurate failure prediction is critical to achieve effective resource allocation while assuring specified QoS levels, such as reliability. Traditional methods, such as statistical estimation techniques, can be considered to predict the reliability of resources. However, naive statistical methods often ignore critical characteristic behavior of the resources. In particular, periodic behaviors of grid resources are not captured well by statistical methods. In this paper, we present an alternative mechanism for failure prediction. In our approach, the periodic pattern of resource failures are determined and actively exploited for resource allocation with better QoS guarantees. The proposed scheme is evaluated under a realistic simulation environment of computational grids. The availability of computing resources are simulated according to real trace that was collected from our large-scale monitoring experiment on campus computers. Our evaluation results show that the proposed approach enables significantly higher resource scheduling effectiveness under a variety of workloads compared to baseline approaches