Towards a Novel Infrastructure for Conducting High Productive Cloud-Based Scientific Analytics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU136175" target="_blank" >RIV/00216305:26220/16:PU136175 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/7522135" target="_blank" >https://ieeexplore.ieee.org/document/7522135</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MIPRO.2016.7522135" target="_blank" >10.1109/MIPRO.2016.7522135</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards a Novel Infrastructure for Conducting High Productive Cloud-Based Scientific Analytics

Popis výsledku v původním jazyce

The life-science and health care research environments offer an abundance of new opportunities for improvement of their efficiency and productivity using big data in collaborative research processes. A key component of this development is e-Science analytics, which is typically supported by Cloud computing nowadays. However, the state-of-the-art Cloud technology does not provide an appropriate support for high-productivity e-Science analytics. In this paper, we show how productivity of Cloud-based analytics systems can be increased by (a) supporting researchers with integrating multiple problem solving environments into the life cycle of data analysis, (b) parallel code execution on top of multiple cores or computing machines, (c) enabling safe inclusion of sensitive datasets into analytical processes through improved security mechanisms, (d) introducing scientific dataspace-a novel data management abstraction, and (e) automatic analysis services enabling a faster discovery of scientific insights and providing hints to detect potential new topics of interests. Moreover, an appropriate formal productivity model for evaluating infrastructure design decisions was developed. The result of the realization of this vision, a key contribution of this effort, is called the High-Productivity Framework that was tested and evaluated using real life-science application domain addressing breath gas analysis applied e.g. in the cancer treatment.

Název v anglickém jazyce

Towards a Novel Infrastructure for Conducting High Productive Cloud-Based Scientific Analytics

Popis výsledku anglicky

The life-science and health care research environments offer an abundance of new opportunities for improvement of their efficiency and productivity using big data in collaborative research processes. A key component of this development is e-Science analytics, which is typically supported by Cloud computing nowadays. However, the state-of-the-art Cloud technology does not provide an appropriate support for high-productivity e-Science analytics. In this paper, we show how productivity of Cloud-based analytics systems can be increased by (a) supporting researchers with integrating multiple problem solving environments into the life cycle of data analysis, (b) parallel code execution on top of multiple cores or computing machines, (c) enabling safe inclusion of sensitive datasets into analytical processes through improved security mechanisms, (d) introducing scientific dataspace-a novel data management abstraction, and (e) automatic analysis services enabling a faster discovery of scientific insights and providing hints to detect potential new topics of interests. Moreover, an appropriate formal productivity model for evaluating infrastructure design decisions was developed. The result of the realization of this vision, a key contribution of this effort, is called the High-Productivity Framework that was tested and evaluated using real life-science application domain addressing breath gas analysis applied e.g. in the cancer treatment.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

ISBN

978-953-233-088-5

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

186-191

Název nakladatele

IEEE

Místo vydání

NEW YORK

Místo konání akce

Opatija

Datum konání akce

30. 5. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000391360600029