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The goal of this paper is to develop a fault tolerant Grid Intrusion Detection System. The architecture is based on a network of high level detection systems which receive intrusion information form local detectors. These high level detectors constantly exchange information using gossip algorithms and correlate the data received received from the local level to detect complex attacks targeted at different...
Both cloud and GRID are computing paradigms for the large-scale management of distributed resources. Even if the first is usually oriented to transaction-based applications, and the latter to High Performance Computation, there is a lot of interest in their integration. This is typically obtained through the Infrastructure-as-a-Service cloud model, which is exploited in the GRID context to offer machine...
The cloud paradigm appeared on the computing scene in 2005 with the Amazon Elastic Compute Cloud (EC2). After this date, a large set of related technologies has been developed. In the academic world, and especially in the HPC area, cloud computing is in some way in competition with the GRID model, which offers a middleware based approach. One of the solutions proposed is the integration of the two...
Along with the development of Internet, Geoinformation Sharing and Open GIS are of increasing importance for GIS application fields. Spatial Information Grid (SIG) is the fundamental application of Grid technology in spatial information application service domain. This paper presents a pilot platform for Resource and Environment Geo-information Sharing for Southwestern China based on Web Services,...
Grid is a promise technology which could easily share distributed heterogeneous computing resources. It brings together geographically and organizationally dispersed computational resources. This paper presented a framework that aggregated the spatial resources based on grid technology, OGC specification and spatial data index. First, a grid environment for sharing geospatial data resources was setup...
Web service models are increasingly being used in the Grid community as way to create distributed applications exposing data and/or applications through self describing interfaces. Scientific research is one key field in which the benefits are apparent as individual services can be orchestrated into experimental workflows that model the research process and facilitate verification and extension. However,...
In traditional grid, grid user can not validate whether grid service registered in grid platform can execute correctly or not because the system does not provide the measurement mechanism for grid service. In order to solve this problem, we propose a series of strategies and methods for trusted grid. These strategies and methods include: an access control policy for reference database, an integrity...
Web 2.0 is expected to be the next technology in the interaction between the enterprise applications and users. Such interaction will be utilized in producing self-governance applications that are able to re-adjacent and re-configure the operation framework based on userspsila feedback. To achieve this, huge numbers of underneath resources (infrastructures and services) are required. Therefore, this...
To enable the rapid execution of many tasks on compute clusters, we have developed Falkon, a Fast and Light-weight tasK executiON framework. Falkon integrates (1) multi-level scheduling to separate resource acquisition (via, e.g., requests to batch schedulers) from task dispatch, and (2) a streamlined dispatcher. Falkon's integration of multi-level scheduling and streamlined dispatchers delivers performance...
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