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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20202 - Communication engineering and systems

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

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

ISBN

978-953-233-088-5

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

186-191

Publisher name

IEEE

Place of publication

NEW YORK

Event location

Opatija

Event date

May 30, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000391360600029