Incentives, Business Model and Required Technical Infrastructure for the Economic Aware Data Grid

@inproceedings{Quan2009IncentivesBM,
  title={Incentives, Business Model and Required Technical Infrastructure for the Economic Aware Data Grid},
  author={Dang Minh Quan and Orestis Terzidis and Sonja Klingert},
  booktitle={DigiBiz},
  year={2009}
}
The data Grids appear mostly in the scientific community but it is also necessary to have the data Grid in the industry sector. Applying the way of scientific data Grid to the industry brings many disadvantages such as expensive investment, not efficient usage and unfair sharing. This paper presents an alternative approach, an economic aware data Grid. The incentives of having an economic aware data Grid, the business model and the working mechanism are analyzed in depth. 
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References

SHOWING 1-10 OF 14 REFERENCES

Economic models for resource management and scheduling in Grid computing

TLDR
A computational economy framework for resource allocation and for regulating supply and demand in Grid computing environments is proposed and some of the economic models in resource trading and scheduling are demonstrated using the Nimrod/G resource broker.

Economic-based Distributed Resource Management and Scheduling for Grid Computing

TLDR
This thesis proposes a distributed computational economy as an effective metaphor for the management of resources and application scheduling and proposes an architectural framework that supports resource trading and quality of services based scheduling that enables the regulation of supply and demand for resources.

Grid Resource Allocation and Control Using Computational Economies

In this chapter, we describe the use of economic principles as the basis for Grid resource allocation policies and mechanisms. A computational economy in which users “buy” resources from their owners

A Distributed Economics-based Infrastructure for Utility Computing

TLDR
This work proposes a distributed, community-oriented approach to utility computing that provides an infrastructure built on Web Services in which modular components are combined to create a seemingly simple, yet powerful system.

Egg: An Extensible and Economics-Inspired Open Grid Computing Platform

TLDR
Egg is an extensible and economics-inspired open grid computing platform that can be used as a basis for smart grids, smart cities, and smart grids in general.

Crunching real data on the Grid: practice and experience with the European DataGrid

TLDR
The D0 experiment has used the European DataGrid testbed to reprocess real data obtained from the Tevatron collider at the Fermi National Accelerator Laboratory to produce a set of recommendations for authors of experiment‐level software, producers of middleware and for designers of Grid systems.

Towards a cost model for distributed and replicated data stores

TLDR
A novel cost model for building a world-wide distributed Petabyte data store which will be in place starting from 2005 at CERN and its collaborating, world- wide distributed institutes is provided.

Crunching real data on the Grid: practice and experience with the European DataGrid: Research Articles

TLDR
The D0 experiment has used the European DataGrid (EDG) testbed to reprocess real data obtained from the Tevatron collider at the Fermi National Accelerator Laboratory to produce a set of recommendations for authors of experiment-level software and for designers of Grid systems.

Integration of Kepler with ROADNet: Visual Dataflow Design with Real-time Geophysical Data

TLDR
This work has produced interface components that allow someone using the Kepler scientific workflow system to readily use ROADNet data resources, and is working to provide the ability to perform Datascope database queries from Kepler.

The GRID: Blueprint for a New Computing Infrastructure

  • A. Marowka
  • Computer Science
    Scalable Comput. Pract. Exp.
  • 2000
TLDR
The main purpose is to update the designers and users of parallel numerical algorithms with the latest research in the field and present the novel ideas, results and work in progress and advancing state-of-the-art techniques in the area of parallel and distributed computing for numerical and computational optimization problems in scientific and engineering application.