The Organization and Management of Grid Infrastructures

Bird, Ian; Jones, Bob; Kee, Kerk F.

doi:10.1109/mc.2009.28

Cited by 41 publications

(31 citation statements)

References 5 publications

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“…For practitioners seeking to innovate digital infrastructures such as grids, our research highlights the importance of understanding coordination as more than a technical automation challenge (Bird et al 2009). If, as some believe, grid architectures come to dominate large-scale computing (Gray 2013) and cloud computing (Venters and Whitley 2012), then this study shows that innovating these new services will involve navigating what Hendfridsson and Yoo (2013) recently described as a "borderland between past and future…[a] twilight zone of innovation" (p. 2).…”

Section: Temporality and The Challenge Of Sustainable Change In Digitmentioning

confidence: 98%

A Trichordal Temporal Approach to Digital Coordination: The Sociomaterial Mangling of the CERN Grid

Venters

Oborn

Barrett

2014

MISQ

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Section: Temporality and The Challenge Of Sustainable Change In Digitmentioning

confidence: 98%

A Trichordal Temporal Approach to Digital Coordination: The Sociomaterial Mangling of the CERN Grid

Venters

Oborn

Barrett

2014

MISQ

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“…It turns the global network of computers into one vast infrastructure for solving large-scale data-intensive research applications. It enables collaboration among geographically dispersed communities in the form of virtual organizations (Bird, 2009). Grid computing is distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high-performance orientation (Foster et al, 2001).…”

Section: Grid Computingmentioning

confidence: 99%

“…Grid computing technologies provide services that make collaboration among researchers. Virtual organization can be characterized by dispersion/distribution, diversity, coherence, security, coordination, and flexibility (Bird et al, 2009). Such an organization is highly complex, particularly when enabled by large-scale, data-intensive, and distributed infrastructures such as those in data-intensive science.…”

Section: Virtual Organizationmentioning

confidence: 99%

An Empirical Analysis of Worldwide Cyberinfrastructure

Cho¹

2015

KTIS

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Cyberinfrastructure is a research infrastructure that provides an environment in which research communities can get access to distributed resources and collaborate at unprecedented levels of computation, storage, and network capacity. The Worldwide LHC Computing Grid (WLCG) is a global collaborative project of computing or data centers that enables access to scientific data generated by the Large Hadron Collider (LHC) experiments at CERN. This case study analyzes the WLCG as a model of cyberinfrastructure in research collaboration. WLCG provides a useful case of how cyberinfrastructure can work in providing an infrastructure for collaborative researches under data-intensive paradigm. Cyberinfrastructure plays the critical role of facilitating collaboration of diverse and widely separated communities of researchers. Data-intensive science requires new strategies for research support and significant development of cyberinfrastructure. The sustainability of WLCG depends on the resources of partner organizations and virtual organizations at international levels, essential for research collaboration.

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“…This module dynamically monitors and manages all model processes to ensure efficiently using server resources (e.g., computing, memory, storage resources). HPC techniques, such as grid computing (Bird et al, 2009), can be introduced into the model process through this module. This module also provides utility functions, such as translating a dataset to exchanging data format (e.g., GML).…”

Section: Geospatial Model Sharing Platformmentioning

confidence: 99%

Prototyping an online wetland ecosystem services model using open model sharing standards

Feng

Liu

Euliss

et al. 2011

Environmental Modelling & Software

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a b s t r a c tGreat interest currently exists for developing ecosystem models to forecast how ecosystem services may change under alternative land use and climate futures. Ecosystem services are diverse and include supporting services or functions (e.g., primary production, nutrient cycling), provisioning services (e.g., wildlife, groundwater), regulating services (e.g., water purification, floodwater retention), and even cultural services (e.g., ecotourism, cultural heritage). Hence, the knowledge base necessary to quantify ecosystem services is broad and derived from many diverse scientific disciplines. Building the required interdisciplinary models is especially challenging as modelers from different locations and times may develop the disciplinary models needed for ecosystem simulations, and these models must be identified and made accessible to the interdisciplinary simulation. Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity. Traditional standalone and closed network systems cannot fully support sharing and integrating interdisciplinary geospatial models from variant sources. To address this need, we developed an approach to openly share and access geospatial computational models using distributed Geographic Information System (GIS) techniques and open geospatial standards. We included a means to share computational models compliant with Open Geospatial Consortium (OGC) Web Processing Services (WPS) standard to ensure modelers have an efficient and simplified means to publish new models. To demonstrate our approach, we developed five disciplinary models that can be integrated and shared to simulate a few of the ecosystem services (e.g., water storage, waterfowl breeding) that are provided by wetlands in the Prairie Pothole Region (PPR) of North America.Ó 2010 Elsevier Ltd. All rights reserved. Software availability

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The Organization and Management of Grid Infrastructures

Cited by 41 publications

References 5 publications

A Trichordal Temporal Approach to Digital Coordination: The Sociomaterial Mangling of the CERN Grid

A Trichordal Temporal Approach to Digital Coordination: The Sociomaterial Mangling of the CERN Grid

An Empirical Analysis of Worldwide Cyberinfrastructure

Prototyping an online wetland ecosystem services model using open model sharing standards

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