A Cloud Computing Based Real Time Financial System

Author

Fenu, Gianni ; Surcis, Simone

Author_Institution

Univ. of Cagliari, Cagliari

fYear

2009

Firstpage

374

Lastpage

379

Abstract

The ldquoCloud Computingrdquo is becoming an increasingly popular term. The new ldquoXaaSrdquo category 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. This paper is concerned with the study and preliminary design of a real time financial system based on cloud computing technologies that enable macroeconomic analysis and forecasts of the financial markets and their instruments. Cloud and grid paradigms can generate different added values which are examined in detail in the paper. This work utilises the results obtained during 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.

Keywords

economic forecasting; financial data processing; grid computing; macroeconomics; real-time systems; XaaS service category; cloud computing; financial market forecasting; grid computing; macroeconomic analysis; real time financial system; Cloud computing; Economic forecasting; Grid computing; Instruments; Large-scale systems; Macroeconomics; Mesh generation; Project management; Real time systems; Technology forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks, 2009. ICN '09. Eighth International Conference on

Conference_Location

Gosier, Guadeloupe

Print_ISBN

978-1-4244-3470-1

Electronic_ISBN

978-0-7695-3552-4

Type

conf

DOI

10.1109/ICN.2009.71

Filename

4976702