1,720,963 research outputs found
Un software per la gestione dei test di selezione ed orientamento in ambito universitario
No full textSistema informativo per un modello valutativo di monitoraggio delle carriere studenti in ambito universitario
No full text
An approach to a cloud computing network
No full text“Cloud Computing” is becoming increasingly
relevant, as it will enable companies involved in
spreading this technology to open the doors to Web
3.0. In this work the basic features of cloud computing
are presented and compared with those of the original
technology: Grid Computing. The new categories of
services introduced will slowly replace many types of
computational resources currently used. In this
perspective, grid computing, the basic element for the
large scale supply of cloud services, will play a
fundamental role in defining how those services will be
provided. The paper describes the concept of
computational resources outsourcing, referred to
computational grids and a real application.
This work utilises the results by the Cybersar
Project managed by the COSMOLAB Consortium
(Italy)
A Real Time Financial System based on Grid and Cloud Computing
No full textCloud computing is gaining popularity to the extent that the new
“XaaS” service category introduced will gradually take the place
of many types of computational and storage resources used today.
In this regard, grid computing, on which the large scale supply of
cloud services is based, will play a key role in defining how those
services will be provided.
This paper concerns the analysis and preliminary design of a real
time financial system that relies on cloud computing technologies
for performing macroeconomic analysis and forecasts of the
financial markets and their instruments.
Cloud and grid paradigms generate different added values. Some
of these are examined in the paper, for instance the use of an
Instruction Set to interact with the Grid.
This work uses the results obtained in the Cybersar Project
managed by the COSMOLAB Consortium (Italy). The system
analyzed and described herein will be implemented in the
Cybersar Computational Grid by autumn 2009
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