Towards Autonomic Virtual Applications in the In-VIGO System

Xu, Jing; Adabala, Sumalatha; Fortes, José A. B.

doi:10.1109/icac.2005.62

Cited by 5 publications

(1 citation statement)

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“…The two main potential sources of failure during VAS utilization are the physical application and the In-VIGO middleware. Some components of the middleware are fault-tolerant and can dynamically adapt to Grid environments with changing resource availabilities [19]. Nevertheless, if an unrecoverable fault is detected, the error is stored as part of the service instance status, which can be queried using a method of the VAS interface.…”

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confidence: 99%

Science gateways made easy: the In‐VIGO approach

Matsunaga

Tsugawa

Adabala

et al. 2006

Concurrency and Computation

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SUMMARYScience gateways require the easy enabling of legacy scientific applications on computing Grids and the generation of user-friendly interfaces that hide the complexity of the Grid from the user. This paper presents the In-VIGO approach to the creation and management of science gateways. First, we discuss the virtualization of machines, networks and data to facilitate the dynamic creation of secure execution environments that meet application requirements. Then we discuss the virtualization of applications, i.e. the execution on shared resources of multiple isolated application instances with customized behavior, in the context of In-VIGO. A Virtual Application Service (VAS) architecture for automatically generating, customizing, deploying, and using virtual applications as Grid services is then described. Starting with a grammar-based description of the command-line syntax, the automated process generates the VAS description and the VAS implementation (code for application encapsulation and data binding) that is deployed and made available through a Web interface. A VAS can be customized on a per-user basis by restricting the capabilities of the original application or by adding to it features such as parameter sweeping. This is a scalable approach to the integration of scientific applications as services into Grids and can be applied to any tool with an arbitrarily complex command-line syntax.

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confidence: 99%