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The use of user specific virtual machines (VMs) in Grid and Cloud computing reduces the administration overhead associated with manually installing required software for every user on every computational resource. However, a large number of user specific VMs increases the risk of security attacks. In particular, Cloud computing providers like Amazon suffer from these problems, since they offer different...
Cloud computing uses virtualization technologies to offer a non-shared use rental of computer resources with publicly accessible worker nodes. However, unlike grid computing, cloud computing as implemented by Amazon, IBM, Google and Microsoft only offers compute and storage resources from a single organization. Many of the cross-site and cross-organizational advantages offered by grid computing are...
In this paper, a novel architecture for a streaming intrusion detection system for Grid computing environments is presented. Detection mechanisms based on traditional log-files or single host databases are replaced by a streaming database approach. The streaming architecture allows processing of temporal attack data across multiple sites and offers the potential for performance benefits in large scale...
In this paper, an approach to create virtual cluster environments is presented which enables fine grained service-oriented applications to be executed side by side to traditional batch job oriented Grid applications. Secure execution environments which can be staged into an existing batch job environment are created. A grid enabled workflow engine to build complex application workflows which are executed...
BPEL is the de-facto standard for business process modeling in today's enterprises and is a promising candidate for the integration of business and Grid applications. While BPEL works well for traditional web services, it has a number of drawbacks with respect to the more complex world of WSRF- based Grid computing, especially where security is concerned. In this paper, a solution that extends the...
In this paper, an approach for managing behaviour trust of participants in Grid computing environments is presented. By considering the interaction process among participants in Grid environments similar to an industrial production process, we argue that through the use of statistical methods of quality assurance it is possible to monitor the behaviour of Grid participants and discover deviations...
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