e-Infrastructures for e-Science: A Global View

Andronico, Giuseppe; Ardizzone, Valeria; Barbera, R.; Becker, Bruce; Bruno, Riccardo; Calanducci, Antonio; Carvalho, Diego; Ciuffo, Leandro; Fargetta, Marco; Giorgio, Emidio; Rocca, Giuseppe La; Masoni, A.; Paganoni, M.; Scardaci, Diego

doi:10.1007/s10723-011-9187-y

Cited by 38 publications

(23 citation statements)

References 27 publications

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“…Technology and large data sets in science have opened up the prospects of sharing data, making data accessible to research communities around the world. Cyberinfrastructure (Atkins et al, ), e‐science (Andronico et al, ), and e‐research (Anandarajan, ) initiatives in the United States, the European Union, and other countries look at ways to allow scientists to collaborate on the creation and use of large data sets, exploiting information and telecommunication technologies.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying the business model dimensions of data sharing: A value‐based approach

Arenas

Goh

Matthews

2019

Asso for Info Science & Tech

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This study aimed to investigate the underlying business model of organizations that have data sharing at the core of their activities. Previous work has stressed that data‐sharing projects need to be sustainable in the long term, and highlighted the need for a deeper understanding of the operation model of existing data‐sharing initiatives. To investigate this important issue, we took a qualitative approach to uncover the dynamics of value creation in data sharing. Using a case study method, we examined two data‐sharing sites across different areas. We conducted semistructured interviews with managers from data centers and other stakeholders, and reviewed documents about the technical and managerial practices to determine the main characteristics of their business models. In addition, we applied the e3‐value modeling methodology to tease out the value flows within each site. Our findings demonstrated the importance of the value network dimension of a business model, as data sharing relies on a set of actors creating and getting value in the process, and the significance of intangible assets. The main contributions of this study include extending current understanding on data‐sharing business models by analyzing key dimensions, and uncovering how value is created and transferred in data sharing.

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Section: Literature Reviewmentioning

confidence: 99%

Identifying the business model dimensions of data sharing: A value‐based approach

Arenas

Goh

Matthews

2019

Asso for Info Science & Tech

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“…Modern scientific applications are often both compute-and data-intensive [10]. They are based on large-scale collaborations relying on flexible data integration and analytical processes.…”

Section: Motivating Examplementioning

confidence: 99%

Joint Scheduling of Data and Computation in Geo-Distributed Cloud Systems

Yin

Sun

Zhao

et al. 2015

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

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Recent trends show that cloud computing is growing to span more and more globally distributed data centers. For geo-distributed data centers, there is an increasing need for scheduling algorithms to place tasks across data centers, by jointly considering data and computation. This scheduling must deal with situations such as wide-area distributed data, data sharing, WAN bandwidth costs and data center capacity limits, while also minimizing completion time. However, this kind of scheduling problems is known to be NP-Hard. In this paper, inspired by real applications in astronomy field, we propose a two-phase scheduling algorithm that addresses these challenges. The mapping phase groups tasks considering the data-sharing relations, and dispatches groups to data centers by way of one-to-one correspondence. The reassigning phase balances the completion time across data centers according to relations between tasks and groups. We utilize the real China-Astronomy-Cloud model and typical applications to evaluate our proposal. Simulations show that our algorithm obtains up to 22% better completion time and effectively reduces the amount of data transfers compared with other similar scheduling algorithms. 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing 978-1-4799-8006-2/15 $31.00

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“…Given the low diffusion of networking infrastructure across developing countries, e-Infrastructure advances and the efforts to join these to the developed world may be surprising given their otherwise low levels of teledensity (that is, "the number of telephone main lines per 100 inhabitants in a particular country or territory") (ITU, 2014b). Several attempts were made to outline the status of e-Infrastructure projects in the developing world, including the Baltic States (Tautvaisiene et al, 2009), India (Masoni and Cozzini, 2012), or provide a glimpse of a global picture (Andronico et al, 2011). We illustrate these advances in the developing world with two cases from Latin America.…”

Section: Introductionmentioning

confidence: 98%

A study on the state-of-the-art of e-Infrastructures uptake in Africa

et al. 2015

Self Cite

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e-Science is a pioneering method that uses integrated collections of Information and Communication Technologies (ICTs), or e-Infrastructures, to enable scientists across the world to collaboratively work on more and more ambitious projects. Have advances and access to ICTs enabled African e-Infrastructure development? This paper aims to understand the current state of e-Infrastructure uptake in Africa and present some of these initiatives across the African continent by exploring the current landscape emerging from a survey of early consumers. These initiatives are discussed in terms of key projects and user communities that they are addressing. In line with wider perceptions that e-Infrastructures will re-shape the ways research is performed, this study yielded 34 current or planned e-Infrastructure projects across 13 African countries addressing a range of research domains, and identified 7 user communities across these disciplines. Our findings suggest that the African research community is increasingly interested and involved in e-Infrastructure development activities in response to the issue of limited access to dedicated global research and education resources. The study can contribute to the ongoing discussion on how e-Infrastructures can positively promote the research, technological development and innovation potential of developing countries.

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e-Infrastructures for e-Science: A Global View

Abstract: In the last 10 years, a new way of doing science is spreading in the world thank to the development of virtual research communities across many geographic and administrative boundaries. A virtual research community is a widely dispersed group of researchers and associated scientific

Cited by 38 publications

References 27 publications

Identifying the business model dimensions of data sharing: A value‐based approach

Identifying the business model dimensions of data sharing: A value‐based approach

Joint Scheduling of Data and Computation in Geo-Distributed Cloud Systems

A study on the state-of-the-art of e-Infrastructures uptake in Africa

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