Cloud Elasticity for Implementing an Agricultural Weather Service

Author

Pawlak, Renaud ; Lefebvre, Sylvain ; Kazi-Aoul, Zakia ; Chiky, Raja

Author_Institution

LISITE, ISEP, Paris, France

fYear

2011

fDate

9-13 May 2011

Firstpage

1

Lastpage

8

Abstract

In this paper, we describe a weather service dedicated to farming called CAP2020. The service involves interpolation operations accessing massive data. We explain the centralized implementation of this application and show the limits of this architecture. Then we present a Cloud-enabled distributed solution ensuring load balancing and data replication to take advantage of the elastic capabilities of Cloud solutions. Distributed implementation provides better quality of service and scalability for CAP2020 application in anticipation of increasing use and/or application data, but also to adapt to punctual and seasonal farming needs.

Keywords

Web services; agriculture; climatology; cloud computing; interpolation; resource allocation; CAP2020 application; Web service; agricultural weather service; cloud computing; cloud elasticity; cloud-enabled distributed solution; data replication; distributed implementation; elastic capability; farming; interpolation; load balancing; quality of service; Cloud computing; Clouds; Computer architecture; Gold; Interpolation; Vents;

fLanguage

English

Publisher

ieee

Conference_Titel

New Technologies of Distributed Systems (NOTERE), 2011 11th Annual International Conference on

Conference_Location

Paris

ISSN

2162-1896

Print_ISBN

978-1-4577-0729-2

Type

conf

DOI

10.1109/NOTERE.2011.5957971

Filename

5957971