License4Grid: Adopting DRM for Licensed Content in Grid Environments

Götze, Joachim; Fleuren, Tino; Müller, Paul; Schwantzer, Simon

doi:10.1109/ecows.2010.25

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Another related topic is the development of techniques for associating and exchanging data contracts with data. Several works have been introduced to support data licensing, such as Dalheimer and Pfreundt (2009) and Götze et al (2010). In Truong et al (2011a), a data agreement exchange service has been developed.…”

Section: Related Workmentioning

confidence: 99%

Data contracts for cloud-based data marketplaces

Truong¹,

Comerio

Paoli

et al. 2012

IJCSE

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Currently, rich and diverse data types have been increasingly provided using the dataas-a-service (DaaS) model, a form of cloud computing services and the core element of data marketplaces. This facilitates the on-the-fly data composition and utilisation for several dataintensive applications in e-science and business domains. However, data offered by DaaS are constrained by several data concerns that, if not automatically being reasoned properly, will lead to a wrong way of using them. In this paper, we support the view that data concerns should be explicitly modelled and specified in data contracts to support concern-aware data selection and utilisation. We perform a detailed analysis of current techniques for data contracts in the cloud. Instead of relying on a specific representation of data contracts, we introduce an abstract model for data contracts that can be used to build different types of data contracts for specific types of data. Based on the abstract model, we propose several techniques for evaluating data contracts that can be integrated into data service selection and composition frameworks. We also illustrate our approach with some real-world scenarios and show how data contracts can be integrated into data agreement exchange services in the cloud.

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Section: Related Workmentioning

confidence: 99%

Data contracts for cloud-based data marketplaces

Truong¹,

Comerio

Paoli

et al. 2012

IJCSE

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“…In most cases, data are accompanied with data agreements which are written for humans, such as described in Open Data Commons 4 . One of the most popular forms of data agreements is data licensing.…”

Section: B Data Agreement Specificationsmentioning

confidence: 99%

“…Our previous work dealt with licensing for data in the Grid [4]. However, as we discuss later on, data agreements are much more broader and licenses are just a part or a type of agreements.…”

Section: Exchange Of Data Agreementsmentioning

confidence: 99%

Exchanging Data Agreements in the DaaS Model

Truong

Dustdar

Götze

et al. 2011

2011 IEEE Asia-Pacific Services Computing Conference

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Abstract-Rich types of data offered by data as a service (DaaS) in the cloud are typically associated with different and complex data concerns that DaaS service providers, data providers and data consumers must carefully examine and agree with before passing and utilizing data. Unlike service agreements, data agreements, reflecting conditions established on the basis of data concerns, between relevant stakeholders have got little attention. However, as data concerns are complex and contextual, given the trend of mixing data sources by automated techniques, such as data mashup, data agreements must be associated with data discovery, retrieval and utilization. Unfortunately, exchanging data agreements so far has not been automated and incorporated into service and data discovery and composition. In this paper, we analyze possible steps and propose interactions among data consumers, DaaS service providers and data providers in exchanging data agreements. Based on that, we present a novel service for composing, managing, analyzing data agreements for DaaS in cloud environments and data marketplaces.

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