Exchanging Data Agreements in the DaaS Model
0 likes605 views
This document proposes techniques for exchanging data agreements in data-as-a-service (DaaS) models and cloud-based data marketplaces. It develops a metamodel for representing data agreements and techniques for associating agreements with data assets. An interaction model and Data Agreement Exchange as a Service (DAES) are proposed to facilitate agreement exchange. Examples illustrate inserting agreements in data assets and linking agreements to geospatial data provided by DaaS. Future work includes integrating DAES with data contracts and a data marketplace prototype.
![Conclusions and future work
Dynamic data provisioning in DaaS/data marketplaces
need new models and techniques for data agreement
exchange
We present
Models and interactions for data agreement exchange
Data Agreement Exchange Service (DAES)
Data agreement is not just “data licensing”!
Future work
Integrate DAES with data contracts [another paper in
APSCC 11]
Integrate DAES with DEMODS ([AINA 2012])
APSCC 2011, 12 Dec, 2011, Jeju, Korean](https://image.slidesharecdn.com/apscc2011-daes-truong-111212055453-phpapp01/85/Exchanging-Data-Agreements-in-the-DaaS-Model-15-320.jpg)
Exchanging Data Agreements in the DaaS Model
- 1. Exchanging Data Agreements in the DaaS Model Hong-Linh Truong1, Schahram Dustdar1, Joachim Goetze2, Tino Fleuren2, Paul Mueller2, Salah-Eddine Tbahriti3, Michael Mrissa3, Chirine Ghedira3 1 Distributed Systems Group, Vienna University of Technology 2 Department of Computer Science, University of Kaiserslautern 3 Universite de Lyon, CNRS, Universite Lyon 1 truong@infosys.tuwien.ac.at http://www.infosys.tuwien.ac.at/Staff/truong APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 2. Outline Background and motivation Our approach Techniques for data agreements exchange Prototype and illustrative examples APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 3. Background Emerging data-as-a-service and on-demand data provisioning in cloud-based data marketplaces Rich data concerns associated with data assets Dynamic interactions within data marketplaces Data consumer DaaS provider Data provider Data marketplaces quality1 DaaS quality2 Consumer DaaS privacy1 DaaS privacy2 Sensor APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 4. Motivation Lack of models and protocols for data agreement in data marketplaces Constraints for data usage are not clear Inadequate data/service description → hindering data selection and integration Existing techniques are not adequate for dynamic data agreement exchange in data marketplaces Our work: developing generic exchange models suitable for different ways of data provisioning in data marketplaces APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 5. Our approach Develop metamodel for data agreement exchange Investigate techniques for enriching and associating data assets with agreement terms Develop interaction models for data agreement exchange Develop Data Agreement Exchange as a Service (DAES) APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 6. Metamodel for data agreements Different category of agreements Licensing, privacy, quality of data Extensions Languages Different types of agreements Different specifications APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 7. Associating data with data agreements Solutions (a) directly inserting agreements into data assets (b) providing two-step access to agreements and data assets (c) linking data agreements to the description of DaaS (d) linking data agreements to the message sent by DaaS APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 8. Possible interaction models for data enriched with data agreements APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 9. DAES – conceptual architecture Jersey, JAX-RS Restful WS Weblogic Using URIs to identify agreements APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 10. DAES – managed information Specific applications: agreement creation, agreement validation, agreement compatibility analysis, agreement management Implementation: Jersey, JAX-RS Restful WS Weblogic APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 11. Illustrating examples – insert agreement into data asset A pay-per-use consumer uses dataAPI of DaaS search for data The consumer pays the use APIs Each call can return different types of data Example with People Search in Infochimps But a strong consequence for data service engineering techniques: dealing with elastic requirements! APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 12. Illustrating examples – link agreements to geospatial data Domain-specific DaaS: different agreements for different data requests Vector data of geographic features via Web-Feature-Service (WFS) Terrain elevation data via Web-Coverage Services (WCS) APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 13. Illustrating examples – link agreements to geospatial data Consumers can interpret and reason if the data can be used for specific purposes APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 14. Illustrative examples – develop an app for policy compliance Configuration Results APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 15. Conclusions and future work Dynamic data provisioning in DaaS/data marketplaces need new models and techniques for data agreement exchange We present Models and interactions for data agreement exchange Data Agreement Exchange Service (DAES) Data agreement is not just “data licensing”! Future work Integrate DAES with data contracts [another paper in APSCC 11] Integrate DAES with DEMODS ([AINA 2012]) APSCC 2011, 12 Dec, 2011, Jeju, Korean
- 16. Thanks for your attention! Hong-Linh Truong Distributed Systems Group Vienna University of Technology Austria truong@infosys.tuwien.ac.at http://www.infosys.tuwien.ac.at/staff/truong APSCC 2011, 12 Dec, 2011, Jeju, Korean