A brief survey on the Virtual Observatory

Araya, Mauricio; Solar, Mauricio; Antognini, Jonathan

doi:10.1016/j.newast.2015.03.001

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…Grids became one of the central pillars of recent distributed research infrastructures due to long-term investitions. Well established grid systems are commonly utilized in a broad field of scientific domains, such as high energy physics [231], astrophysics [12,14], life sciences [40], [144], medicine [143], [67], biology [44], computational chemistry [205], climatology [24], [39], agriculture [202] or humanities [96], [215].…”

Section: Grid Infrastructuresmentioning

confidence: 99%

“…We surveyed various distributed research infrastructures that serve various research disciplines (c.f. the arts and humanities [27,136,137,96], astrophysics [12,14], biology [44], climatology [24,39], computational chemistry [205], environmental sciences [104,124], health and life sciences [53,144,67,40], and high energy physics [192]). We also assessed their information demand and reviewed technical reports [18] as well as a survey conducted among resource providers and communities of an e-science initiative study [93].…”

Section: Actors Of a Distributed Research Infrastructurementioning

confidence: 99%

“…In the following, we use the GLUE v2.0 Reference Realizations to Concrete Data Models (Document version 1) which is the latest currently available release 12 published by OGF.…”

Section: Specification Documentmentioning

confidence: 99%

“…Research opportunities and outcomes in a broad range of scientific disciplines are nowadays directly dependent on the quality and availability of computing and storage resources. Well established research infrastructures are for example commonly utilized in the arts and humanities [27,136,137,96], astrophysics [12,14], biology [44], climatology [24,39], computational chemistry [205], environmental sciences [104,124], health and life sciences [53,144,67,40], and high energy physics [192].…”

Section: Introductionmentioning

confidence: 99%

“…Grinder Statistics: http://grinder.sourceforge.net/faq.html#calculation, Online, last accessed on December12, 2016 …”

mentioning

confidence: 99%

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Interoperable Information Exchange, Resource Discovery, and Service Quality Monitoring Across Virtual Organizations in Distributed Research Infrastructures

Kálmán¹

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Recently, distributed research infrastructures were built up to feed the emerging resource demand of research institutes and enable researchers from various disciplines to access cutting edge technologies. More recently, the different research disciplines began to approach each other in the mutual goal to answer increasingly complex research problems. It has therefore become increasingly important for research infrastructures to interoperate. Exchanging resource descriptions coming from the information and monitoring systems of different research infrastructures is among the most important steps to reach interoperability.The aim of this thesis is to develop and realise a concept of an interoperable information and monitoring system, which can be used transparently with different existing distributed research infrastructures. This concept also extends the scope of existing information services by including resource properties relating to quality of service and organisational items. We focus on the information and monitoring systems, because of their importance for the other components of distributed research infrastructures. Exchanging resource descriptions, discovering resources, and monitoring the quality and availability of computing and storage resources are essential for executing jobs or transferring data in distributed research infrastructures.Based on a requirement analysis of application scenarios we identify the information needed for exchanging resource descriptions and provide a theoretical model which is capable to include that information. We also present a theoretical approach for a schema mediation process. For modeling resource descriptions in distributed research environments many information schemas and data models exist. In addition to the theoretical analysis, we discuss the evaluation of information schemas being utilized in productional environments. Based on these results, a concept of an automated resource exchange process and a respective generic monitoring architecture supporting it are provided.In addition to our theoretical analysis, concept, and models, a proof of concept for distributed research infrastructures has been developed. We also design and develop a simulation framework for service-oriented, multi-middleware environments that is based on automated system deployment and service provisioning. The evaluation is done by artificial simulation experiments in the simulation framework and in real system scenarios, which demonstrate the applicability of our concept. Instant-Grid, MediGrid, DARIAH and ePIC.Moreover, I want to thank my current and prior colleagues at the GWDG for the nice work atmosphere, as well as my friends and fellow doctoral students for their moral support, which made my day-to-day work balanced and varied. I would like to give special thanks to the two proof-readers of this work.Last, but not least, I want to thank my family for their patience and endless support.

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Section: Grid Infrastructuresmentioning

confidence: 99%

Section: Actors Of a Distributed Research Infrastructurementioning

confidence: 99%

“…In the following, we use the GLUE v2.0 Reference Realizations to Concrete Data Models (Document version 1) which is the latest currently available release 12 published by OGF.…”

Section: Specification Documentmentioning

confidence: 99%