GridOrbit public display: Providing grid awareness in a biology laboratory

Juan David Hincapie Ramos; Aurélien Tabard; Jakob Bardram; Tomas Sokoler

doi:10.1145/1753846.1753969

GridOrbit public display: Providing grid awareness in a biology laboratory

Juan David Hincapie Ramos
, Aurélien Tabard
, Jakob Bardram
, Tomas Sokoler

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

We introduce GridOrbit, a public awareness display that visualizes the activity of a community grid used in a biology laboratory. This community grid executes bioin-formatics algorithms and relies on users to donate CPU cycles to the grid. The goal of GridOrbit is to create a shared awareness about the research taking place in the biology laboratory. This should promote contribu-tions to the grid, and thereby mediate the appropriation of the grid technology. GridOrbit visualizes the activity in the grid, shows information about the different active projects, and supports a messaging functionality where people comment on projects. Our work explores the usage of interactive technologies as enablers for the appropriation of an otherwise invisible infrastructure.

Original language	English
Title of host publication	CHI Extended Abstracts 2010
Number of pages	6
Publisher	Association for Computing Machinery
Publication date	2010
Pages	3265-3270
ISBN (Print)	978-1-60558-930-5
DOIs	https://doi.org/10.1145/1753846.1753969
Publication status	Published - 2010
Event	CHI EA '10 - Atlanta, United States Duration: 10 Apr 2010 → 15 Apr 2010 http://www.chi2010.org/

Conference

Conference	CHI EA '10
Country/Territory	United States
City	Atlanta
Period	10/04/2010 → 15/04/2010
Internet address	http://www.chi2010.org/

Keywords

Public awareness display
Community grid
Bioinformatics algorithms
CPU cycle donation
Interactive technologies

Access to Document

10.1145/1753846.1753969

GridOrbit_WiPFinal published version, 410 KB

MiniGrid: Collaborative Mini-Grids for Prediction of Viral RNA Structure and Evolution
Bardram, J. (PI), Venkataraman, N. N. (CoI), Ramos, J. D. H. (CoI) & Tabard, A. (CoI)
Danish Council for Strategic Research
01/01/2007 → 31/12/2012
Project: Research

Cite this

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title = "GridOrbit public display: Providing grid awareness in a biology laboratory",

abstract = "We introduce GridOrbit, a public awareness display that visualizes the activity of a community grid used in a biology laboratory. This community grid executes bioin-formatics algorithms and relies on users to donate CPU cycles to the grid. The goal of GridOrbit is to create a shared awareness about the research taking place in the biology laboratory. This should promote contribu-tions to the grid, and thereby mediate the appropriation of the grid technology. GridOrbit visualizes the activity in the grid, shows information about the different active projects, and supports a messaging functionality where people comment on projects. Our work explores the usage of interactive technologies as enablers for the appropriation of an otherwise invisible infrastructure.",

keywords = "Public awareness display, Community grid, Bioinformatics algorithms, CPU cycle donation, Interactive technologies, Public awareness display, Community grid, Bioinformatics algorithms, CPU cycle donation, Interactive technologies",

author = "Ramos, \{Juan David Hincapie\} and Aur{\'e}lien Tabard and Jakob Bardram and Tomas Sokoler",

year = "2010",

doi = "10.1145/1753846.1753969",

language = "English",

isbn = "978-1-60558-930-5",

pages = "3265--3270",

booktitle = "CHI Extended Abstracts 2010",

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KW - Public awareness display

KW - Community grid

KW - Bioinformatics algorithms

KW - CPU cycle donation

KW - Interactive technologies

KW - Public awareness display

KW - Community grid

KW - Bioinformatics algorithms

KW - CPU cycle donation

KW - Interactive technologies

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BT - CHI Extended Abstracts 2010

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GridOrbit public display: Providing grid awareness in a biology laboratory

Abstract

Conference

Keywords

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Projects

MiniGrid: Collaborative Mini-Grids for Prediction of Viral RNA Structure and Evolution

Cite this